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Disertaciones |
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1
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Ana Paula Sandes de Souza
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DEVELOPMENT OF A MULTIMODAL PHYSIOLOGICAL COLLECTION TOOL TROUGH COMMERCIALLY AVAILABLE ELECTROENCEPHALOGRAM AND EYE TRACKING DEVICES. CASE OF STUDY: BLINK DETECTION.
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Líder : GERARDO ANTONIO IDROBO PIZO
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MIEMBROS DE LA BANCA :
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GERARDO ANTONIO IDROBO PIZO
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MARILIA MIRANDA FORTE GOMES
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JONES YUDI MORI ALVES DA SILVA
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JAIRO JOSE MUNOZ CHAVEZ
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Data: 27-ene-2023
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Resumen Espectáculo
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Electroencephalogram (EEG) and Eye Tracking (ET) are non-invasive ways to observe the behavior of the nervous system. The combination of these data types tends to have a higher classification capability than unimodal datasets when used in machine learning algorithms. Besides a higher accuracy, these datasets allow a better understanding of the physiological functioning by having more than one type of information. This work presents an alternative to clinical and high-cost equipment to build multimodal datasets. By using commercial equipment, this tool can generate a multimodal dataset of EEG and ET collected over time. The collection is mediated by MATLAB code, used to coordinate a pause-and-wait system between terminals connected in parallel to both hardware used. Subsequent data combination was performed in Python through resampling and linear interpolation, allowing unimodal data to be merged despite having distinct collection frequencies.
The blink signal is recognized by both devices and was used to calculate the synchronization capacity between the signals. During collection, voluntary blinks occurred every 4 seconds. A total of twelve collections of 120 second duration were analyzed. A true positive blink identification rate of 93% and 99% were found for EEG and ET, respectively. The cross-correlation showed an average delay of 1.54 seconds of the ET signal relative to the EEG signal. Advances to improve the synchronization capability between the data were suggested.
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2
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Renata Menezes Lopes
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Excitability modulation of descending pathways of the soleus muscle from the fatigue of contralateral plantar flexors
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Líder : RINALDO ANDRE MEZZARANE
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MIEMBROS DE LA BANCA :
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FERNANDO HENRIQUE MAGALHÃES
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JAKE CARVALHO DO CARMO
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RINALDO ANDRE MEZZARANE
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SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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Data: 06-abr-2023
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Resumen Espectáculo
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Muscle fatigue (MF) is defined as a reduction in the capacity of the neuromuscular system to generate force, and is a common phenomenon in any type of activity that requires resistance. Responsible for limitations in human performance and causing injuries, the fatigue process can involve the ipsilateral limb as well as the contralateral limb, and can even be observed in non homologous limbs. Although the mechanisms of FM are exhaustively researched, few works have investigated the effect of contralateral fatigue (CF) on the lower limbs. In this context, aiming to expand the knowledge of CF, we propose to evaluate the modulation of excitability of descending pathways on the right soleus (SO) muscle after fatigue induction in the contralateral plantar flexors. The sample of the present study consisted of 12 healthy and active volunteers, 27.58 ± 7.34 years old, with a height of 1.67 ±0.08. Electromyographic (EMG) signals were captured by means of surface electrodes positioned on the right OS. A protocol was performed in which data regarding maximum voluntary contraction (MVC) and V-wave (electromyographic signal representing a response of the descending pathways) were collected in four conditions (pre-fatigue, between fatigue, post-fatigue and recovery). V-wave, power spectrum parameters of the contralateral OS electromyogram and in superimposed twitch (ST) force generation were obtained, such as mean power frequency (FMD), median power frequency (FMN) and Root Mean Squared (RMS) between conditions. A one-way repeated measures ANOVA was used to detect differences between the amplitudes of evoked V-waves, in FMD and FMN, in RMS across conditions. The main results of this study were a) that fatigue induced in the left ankle plantar flexors was shown to have a significant effect of CF on V-wave amplitudes; b) a tendency to recover from the effects of fatigue over time; c) modulation of the V-wave by CF was progressive; d) the absence of ipsilateral fatigue; e) that voluntary muscle activation was constant across conditions; f) that V-wave fluctuations were not attributed to different levels of voluntary activity of the target muscle. The present work evidenced that the excitability of descending pathways to the OS muscle can be acutely modulated as a consequence of fatigue induced in the contralateral plantar flexor muscles.
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3
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Jonathan Martinichen
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Clinical Engineering Teams in Brazil: A Profile Analysis from the Perspective of Engineers who Work in this Field
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Líder : MARILIA MIRANDA FORTE GOMES
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MIEMBROS DE LA BANCA :
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GERARDO ANTONIO IDROBO PIZO
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MARILIA MIRANDA FORTE GOMES
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RAFAEL FONTES SOUTO
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RONNI GERALDO GOMES DE AMORIM
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Data: 27-abr-2023
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Resumen Espectáculo
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Healthcare Establishments (HE), in order to guarantee the quality and safety of Medical/Hospital Equipment (MHE), as well as reduce acquisition and maintenance costs, must have their own, outsourced or mixed Clinical Engineering (CE) team. This team is responsible for preparing and executing plans for the acquisition and execution of MHE and, as in other areas governed by quality in management, the results may vary according to each HE and its CE maintenance teams, enabling to monitor the efficiency and effectiveness of provided services. This study aims to present the profile of CE teams and analyze how performance indicators relate to the composition of CE sectors and the characteristics of HE. As far as methodological tools are concerned, questionnaires were sent to clinical engineers in all units of the Federation, belonging to a WhatsApp group called “Engenharia Clínica Brasil”. The questionnaire gathers information about the engineers' education, the characteristics of the EAS, the profile of the EC teams, as well as quality indicators related to maintenance activities. The findings suggest that the composition of CE teams and the characteristics of HE may have a significant impact on the effectiveness and efficiency of maintenance activities. Therefore, it is crucial for HE to monitor the performance of their CE teams and take necessary actions to ensure the quality and safety of medical equipment, while minimizing acquisition and maintenance costs.
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4
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SAMYLA DE SOUZA MELO
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HEALTH TECHNOLOGY PROPOSAL FOR TREATMENT OF PRESSURE INJURIES: RAPHA® EQUIPMENT
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Líder : MARIO FABRICIO FLEURY ROSA
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MIEMBROS DE LA BANCA :
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JOSÉ CARLOS TATMATSU ROCHA
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MARCELLA LEMOS BRETTAS CARNEIRO
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MARIO FABRICIO FLEURY ROSA
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SOLANGE BARALDI
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Data: 28-abr-2023
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Resumen Espectáculo
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Introduction: Pressure injury is defined as a localized injury to the skin or underlying cutaneous tissue over a bony prominence, resulting from a combination of pressure and local shear. It is caused by the sum of clinical factors, such as nutrition, hydration, and cutaneous-mucous conditions, among others. It occurs in several regions of the body, however, the region that has a greater shear is the sacral region. According to (PATTON, 2018), the use of new technologies decreases the prevalence of pressure injuries associated with mortality rates in a study developed evaluating the technologies used in pressure injuries in hospitalized patients. Based on the results of the clinical trial on the Rapha Equipment research (CAAE 94910718.5.3001.5553) where it prioritized the application of the protocol linked to the LED light-emitting equipment associated with a latex dressing (Rapha Equipment) (FLEURY ROSA, S.S.R, et al, 2017) for the treatment of foot diseases in diabetes, the following proposal was thought: what clinical outcomes would Rapha equipment provide in patients with pressure ulcers? Objectives: The objective was to evaluate the action of the LED light-emitting device together with the latex sheet (Rapha® Equipment) applied to a patient with a pressure injury hospitalized in a hospital institution during a 45-day protocol. Observing at the end of the research if there was attenuation of the total area of the lesion after the protocol. Materials and methods: A multi-strategy typology approach supported by quantitative and qualitative methods for data collection and analysis with an interdisciplinary health perspective, using the approved clinical study research (CAAE 94910718.5.3001.5553). The application methodology was similar to applying a pressure sore dressing, following the predefined protocol for applying the Rapha® equipment daily on the wound for 45 days. In each patient, it was evaluated whether the use of the Rapha® equipment resulted in a reduction in the area of the lesion. Results: Five patients from the experimental group who received the use of the Rapha® equipment and 4 patients from the control group who received the sus protocol were evaluated. Patients in the experimental group had two completely healed lesions and two lesions with a 50% decrease in the total area of the lesion. Compared to the control group, there was no healing and a small percentage of reduction in the area of the lesion. Conclusion: The Rapha® equipment assists in the healing process of pressure injuries in less time than the Unified Health System protocols, however, it favors increased moisture in the injury, which in excess can harm the healing process.
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5
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Ana Luiza Moraes Fernandes da Costa
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IDENTIFICATION OF LARYNGEAL LESIONS FROM NARROWBAND ENDOSCOPY IMAGING USING ARTIFICIAL NEURAL NETWORKS AND VISUAL PROGRAMMING
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Líder : GERARDO ANTONIO IDROBO PIZO
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MIEMBROS DE LA BANCA :
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GERARDO ANTONIO IDROBO PIZO
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CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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RENATO CORAL SAMPAIO
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LUCIANA CORREIA ALVES
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Data: 08-may-2023
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Resumen Espectáculo
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The presence of certain types of lesions in the laryngeal mucosa can signal the development of early-stage laryngeal squamous cell carcinoma, which arises from the abnormal development of the squamous cells that make up the inner layer of the laryngeal lining. This disease corresponds to 98% of the occurrences of malignant tumors that affect the larynx and 3% of all cases of cancer, often leading to death when diagnosed in advanced stages.
Early detection of lesions suggestive of the development of precancerous tissue or early stage laryngeal cancer can be a challenging task even for experienced physicians. The existing scientific literature points out that models based on machine learning have been used to aid the diagnosis of laryngeal cancer, achieving relevant results, considering the state-of-the-art architectures of deep convolutional artificial neural networks in the detection of laryngeal lesions, with reported accuracy of up to 98%. However, the implementation of machine learning models often requires advanced knowledge in programming language, making the task of training and developing these solutions complex. There are also more recent models of artificial neural networks, not yet explored for the classification of images containing laryngeal lesions.
The present study aimed to develop methods based on artificial intelligence to classify laryngeal lesions in an automated way, from digital images obtained by the narrowband imaging technique.
Regarding the adopted methodology, 1.320 digital images of laryngeal tissue, healthy and in an early stage of cancer, obtained through laryngoscopy, were used, subdivided into 4 classes: healthy tissue, tissue with leukoplakia, tissue with hypertrophic vessels and tissue with capillary loops intrapapillary. From this set, 132(10%) were segregated to compose the test set. Five different machine learning models, based on deep convolutional neural networks (CNN) and capsule networks (CapsNet), were implemented to classify the 132 images: VGG16, VGG19, Inception V3, CapsNet without data augmentation and CapsNet combined with a data augmentation technique using images generated synthetically by an adversarial generative network (GAN).
The neural network architectures were implemented using the free software ORANGE Data mining and the Google Colab computational platform, in Python language, using the Keras, OpenCV and Tensorflow libraries.
Using GAN to augment the training set with synthetically generated images improved the performance of the capsule classifier in classifying all types of injuries. The CapsNet classifier with data increase by GAN reached average recall,precision and F1-Score of 94.7%, reaching the second best performance among the studied models. The best performance was obtained with the CNN Inception V3 classifier, which obtained 97% recall, precision and F1-Score, using visual programming software.
This study contributed to the advancement of knowledge in health-related technologies by exploring new methods to aid in the diagnosis of laryngeal cancer. The artificial intelligence solution based on CNN with the proposed visual programming reached competitive results, allowing the detection of laryngeal lesions in all images presented to the model, with the advantage of being implemented in an easy-to-use tool, with a lower cost of computational resources and because it does not require advanced knowledge in programming machine learning models, compared to the other methods already explored.
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6
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Hélder Line Oliveira
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STUDY AND SIMULATION OF WIRELESS ENERGY TRANSFER THROUGH NEAR FIELD AND INDUCTIVE COUPLING FOR RECHARGING BATTERIES APPLIED TO IMPLANTABLE MEDICAL DEVICES
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Líder : GERARDO ANTONIO IDROBO PIZO
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MIEMBROS DE LA BANCA :
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GERARDO ANTONIO IDROBO PIZO
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LEANDRO XAVIER CARDOSO
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WELLINGTON AVELINO DO AMARAL
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RAFAEL FONTES SOUTO
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Data: 25-may-2023
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Resumen Espectáculo
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The use of implanted medical devices has been a reality since the 1950s and continues to be considered a necessary solution for monitoring biological functions or for the treatment of situations that require medication application or organ stimulation. However, the limitation of the energy supply, primarily the battery, makes the use of these devices uncomfortable for patients due to the need for surgical procedures for their maintenance. In the presented context, wireless energy transfer technology emerges as a proposal to minimize this inconvenience, providing greater reliability in the use of these devices. The work simulated this procedure, seeking to identify the necessary parameters for its application in implantable devices and confronting them with safety standards proposed by ANVISA and ABNT. To do so, a quantitative approach was used, researching information that corroborates the use of the inductive coupling method in battery charging with the application of the specifications found in the simulation performed in Maxwell HFSS®. The tests conducted demonstrated that the temperatures generated on the skin and the device remained around 20ºC, a value below the maximum acceptable for the human body, and that the specific absorption rate was 0.0851W/kg below the conventionally set minimum. Furthermore, the obtained electric voltage and current were 3.25V and 3.20mA, respectively, and within the desired limits. Based on the adopted parameters and current standards, the results obtained indicate that this technology is a viable option for recharging batteries in implantable medical devices, also considering safety in its application to patients.
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7
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ANNE KAROLINE FEITOZA MENDONÇA DE FREITAS
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Dynamical description of Pandemic COVID-19 in Brazil by Fractional Epidemiological Models
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Líder : RONNI GERALDO GOMES DE AMORIM
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MIEMBROS DE LA BANCA :
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RONNI GERALDO GOMES DE AMORIM
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GERARDO ANTONIO IDROBO PIZO
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RODRIGO ANDRES MIRANDA CERDA
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GESIEL GOMES SILVA
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Data: 02-jun-2023
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Resumen Espectáculo
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In this work it was studied the dynamics of COVID-19 spreading in Brazil using fractional epidemiological models. It analyzed the fractional version of SIR, Lotka-Volterra and logistic models. The computational approach was implemented by the fractional Adams-Brashforth method. As a result, it is possible to conclude that the fractional derivative improves the description of reality by mathematical modeling.
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8
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Giselle de Oliveira Lima
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EVALUATION OF DEVELOPMENT AND APPLICATION OF TECHNOLOGIES FOR HEALTH: STUDY CASE AND AN INTEGRATIVE REVIEW
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Líder : SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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MIEMBROS DE LA BANCA :
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ADSON FERREIRA DA ROCHA
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ALDIRA GUIMARAES DUARTE DOMINGUEZ
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ALLISSON LOPES DE OLIVEIRA
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SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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Data: 16-jun-2023
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Resumen Espectáculo
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Introduction: Information is a fundamental tool nowadays, being essential for control, data rationalization, management quality, resources, among others. A short-term view is noted, with regard to the internal culture of health units, generating high costs in investments in information technology. Although Brazil has a wide experience, there is a lack of monitoring of the advancement of technologies, generating concern in devising strategies for use in the Unified Health System (SUS), especially in the area of immunization, which leads to a lack of motivation by those who use it. The application of these technologies will allow overcoming the technological gap, enabling the creation of a control and monitoring process. The cards proposed with Radio Frequency Identification Technology (RFID) are intended to provide better control of the reception process to the user, increasing the accuracy of information, and people control management, improving the quality of life of both the user and the of health professionals. Objective: To approach the manufacturing project of the Totem and SUS+ Card and ImunaSUS module as a resource to be thought of as a technology that facilitates the lives of patients, analyzing, from the Integrative Literature Review, the scientific evidence, on which tools are being applied to digital immunization control. Methodology: The present research will express two moments to be discussed: the first will present a case study on the proposal of the University of Brasília for the confection of a system that uses a patient data storage card with RFID technology, the Totem SUS+ and ImunaSUS module, describing the adopted methods and necessary materials to produce them. Next, it will show the steps taken to produce an integrative review of textual literature in which literature that talks about similar technologies will be analyzed. Results: The implementation of these equipment, SUS+ and ImunaSUS, which is based on the association of a card with a reader and recorder and a self-service totem, will enable agility in the assistance of the SUS user, ease in the acquisition, organization and retrieval of information in the health databases. With regard to technologies that are being used to control information related to vaccines, little development of technologies can be seen in the consulted literature, not only in Brazil, but in the world. Conclusion: The proposal developed by UnB is relevant, innovative, similar to the articles found, suggesting tests with products in operation in health environments and in the SUS.
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9
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JACKSON PAZ BIZERRA DE SOUZA
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Analysis of clinical electrode applied in ablation procedure with geometry optimization via artificial intelligence
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Líder : SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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MIEMBROS DE LA BANCA :
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ADSON FERREIRA DA ROCHA
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ALLISSON LOPES DE OLIVEIRA
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RONNI GERALDO GOMES DE AMORIM
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SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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Data: 20-jun-2023
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Resumen Espectáculo
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The process of ablation through electrodes aims to necrotize damaged or abnormal tissues in the body. This technique is commonly used to treat conditions such as tumors and cardiac arrhythmias. During the procedure, an electrode is inserted into the area to be treated, and radiofrequency energy is applied, heating and destroying the tissue. Recent advancements include the use of artificial intelligence to guide real-time ablation, the development of more precise ablation devices, and the identification of new therapeutic targets for tumor treatment. Although there has been extensive study on the application of various electrode geometries, there is still a gap in the correlation between electrode geometry and temperature outcomes in tissue ablation. To fill this gap and improve the ablation process, a methodology for optimizing clinical electrodes used in ablation procedures is proposed. For this purpose, the artificial intelligence clustering algorithm K-Means is utilized. Using finite element methodology and parameters from the bio-heat transfer equation (Pennes equation), a needle electrode for tumor ablation was implemented in COMSOL software. The correlation between electrode geometric data, time ranges, voltage ranges, and the resulting temperature range between 45°C to 55°C (318.15K to 328.15K) was evaluated aiming to enhance the efficiency and precision of the ablation technique. The obtained results are compared and analyzed using statistical techniques and machine learning clustering (scatter plots), allowing for the identification of optimal electrode configurations. Preliminary results indicate a convergence between the methodology and the presented results, as denoted in graphs, focusing on the concentration of the target temperature over time and application. The dissertation contributes to the advancement of the field of electrophysiological ablation, bringing an innovative and promising approach to the optimization of clinical electrodes used in these procedures.
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10
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Daniel Leal Fagundes
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Mitochondrial Bioenergetics and Behavioral Effects of Intermittent Fasting in Zebrafish
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Líder : JAIR TRAPE GOULART
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MIEMBROS DE LA BANCA :
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JAIR TRAPE GOULART
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MARCELLA LEMOS BRETTAS CARNEIRO
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VERA REGINA FERNANDES DA SILVA MARAES
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MAURO EUGÊNIO MEDINA NUNES
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Data: 21-jun-2023
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Resumen Espectáculo
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The current lifestyle and dietary habits contribute to obesity, type 2 diabetes, and cardiovascular diseases. Various approaches are being used globally to combat these diseases, including drugs, alternative diets, and intermittent fasting (IF). IF has gained popularity and has shown positive outcomes like weight loss and reduced insulin resistance. We conducted a study using a zebrafish model to investigate the impact of IF on mitochondrial function. The fish were divided into three groups: a standard diet (SD) group with unrestricted eating, a group with 24 hours of fasting alternated with 24 hours of eating (IF24), and a group with 48 hours of fasting alternated with 24 hours of eating (IF48). After six weeks, we measured the animals' body weight and performed morphometric measurements and organ dissection for high-resolution respirometry to measure oxygen consumption in cardiac and brain tissues. Our results revealed that IF influenced the animals' morphometric parameters. Mitochondrial dysfunction was not observed in the hearts and brains of animals in the IF24 group, but we observed decreased cardiac mitochondrial metabolism efficiency in the IF48 group. Overall, our findings support the effectiveness of IF in combating obesity, particularly when using a protocol of alternating 24 hours of fasting with 24 hours of eating ad libitum.
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11
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Carolina Ramos dos Santos
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Extraction, characterization and evaluation of in vitro cell regeneration of crude seed extract of Bixa orellana L
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Líder : MARCELLA LEMOS BRETTAS CARNEIRO
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MIEMBROS DE LA BANCA :
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MARCELLA LEMOS BRETTAS CARNEIRO
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JAIR TRAPE GOULART
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SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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MARCUS VINICIUS LIA FOOK
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Data: 21-jun-2023
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Resumen Espectáculo
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Diabetic Foot Ulcer (DFU) represents a high risk factor for amputation and is among the leading causes of hospitalization in diabetics, culminating in high cost to the Brazilian Unified Health System (SUS). Thus, this disease represents a serious public health problem, raising the need for public investment in the development of research aimed at finding curative therapeutic strategies. Our group developed a therapeutic system for tissue neoformation which was named Rapha® and consists of the concomitant use of phototherapy and curcumin-based natural latex biomembrane (BLN). The results were very promising, since healing with this system was superior to conventional SUS treatment. However, this dressing did not show antimicrobial effect. Considering that bacterial infections are related to wound worsening and increased chances of amputations, it is proposed here, the prospection of medicinal extract with antioxidant and antimicrobial properties. In this work, crude extract of "Urucum" (Bixa orellana) seeds will be used, obtained commercially through donation by New Max® and Purifarma® or through solvent extraction. The annatto seeds used to obtain the extract were obtained from an extracting quilombola community. The extraction of the compounds from the annatto seeds was performed using the solvents Hexane, Ethyl Acetate and Ethanol at 50°C and 130°C to define the most efficient extraction protocol. For evaluation of the chemical composition of the extract and validation of the extraction method, analyses were performed using High Performance Liquid Chromatography (HPLC) and Spectrophotometry. According to the results, the extraction performed with Ethanol, at a temperature of 50°C, was more efficient, since it presented higher contents of carotenoids such as bixin and norbixin. In the analysis by CLAE, the sample presented 57.5% of bixin. The analysis performed by spectrophotometry, at 487 nm, was performed to calculate the % peak area, and thus calculated the content of bixin and norbixin. For the sample extracted by Ethanol at 50°C the content of 0.27% bixin and 0.30% norbixin content was demonstrated. The biocompatibility of annatto extracts was evaluated, using the MTT reagent ([3-(4,5-dimethylthiazol-2yl)-2,5-diphenyl tetrazolium bromide), in fibroblast and keratinocyte cultures at doses of 80 to 2.5 µg/mL of annatto extract diluted in DMSO or Ethanol for 24, 48 and 72 h. The results showed that the concentrations of 2.5, 5 and 10µg/mL were viable, showing cell viability greater than 80% in both cell lines. In addition, the therapeutic potential of the extracts on regeneration was investigated, by means of cell migration assay (Scratch assay) where, in 72 hours, the treatment at the 10µg/mL concentration decreased around 90% of the groove made in fibroblast cells. The antioxidant potential of annatto extracts was determined by means of the Reactive Oxygen Species (ROS) production assay using the DPPH (2,2 Diphenyl 1 picrylhydrazylo) marker. DPPH was left in contact with the sample of annatto seed extract for 30 minutes at concentrations of 10 and 100µg/mL. Although there was no significant difference between the concentrations tested, both showed a percentage of potential antioxidant activity around 50%. As a positive control, ascorbic acid was used in the same concentrations, which presented a percentage above 90% for both concentrations.
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12
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FERNANDA MAYUMI GUEDES FUKUOKA
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Development and analysis of a RAPHA device with blue LED associated biomembrane of latex derived from Hevea brasiliensis
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Líder : SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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MIEMBROS DE LA BANCA :
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SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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ALDIRA GUIMARAES DUARTE DOMINGUEZ
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RONNI GERALDO GOMES DE AMORIM
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LUCIANA ROBERTA TENORIO PEIXOTO
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Data: 26-jun-2023
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Resumen Espectáculo
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Diabetes Mellitus (DM) is a chronic health problem that interferes in the healing process. This interference generates the worsening of ulcers, especially in the lower limbs, causing infections and possibly leading to limb amputation. There are technologies that help in the healing process, such as photobiostimulation. The development of new technologies is important to improve the quality of life of patients. In this work we developed a photobiostimulation equipment with blue LEDs, based on the RAPHA equipment with red LEDs. The blue color was chosen for its bactericidal characteristics. The equipment was developed at the University of Brasilia (UnB) and the constructive parameters were analyzed in the laboratory. The characterization of the equipment and its interaction with the latex blade was done, to determine the wavelength and power. The equipment with blue LED presented a higher power than the red one.
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13
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Jessica Sousa Oliveira
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Web Scraping in the extraction and systematic combination of contents: an auxiliary tool in Research, Development and Innovation (RD&I) processes.
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Líder : MARIO FABRICIO FLEURY ROSA
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MIEMBROS DE LA BANCA :
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MARIO FABRICIO FLEURY ROSA
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ADSON FERREIRA DA ROCHA
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SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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Paulo Roberto dos Santos
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Data: 29-jun-2023
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Resumen Espectáculo
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Introduction: The Legal Framework for Science, Technology, and Innovation aims to contribute to the sustainable development of Brazil by coordinating and allocating resources to ensure scientific, technological, industrial, and commercial products or studies in the country. For public institutions of higher education to benefit from the rights guaranteed by this framework, it is necessary for them to demonstrate and make public their contributions to society, including the translation of scientific development for social benefit. In this regard, there is a demand for a systematic search that emphasizes the scientific and technological initiatives developed by these institutions, which subsequently result in technical and technological products beyond publications, but mainly patents and/or technology transfer. Objectives: Therefore, the development of an application that automates this process emerges as a viable technological solution. This work aims to deliver a data mining tool based on web scraping that performs systematic and practical data collection by extracting and combining web content, seeking authors of projects developed at the University of Brasília who have subsequently translated their results into patents and/or technology transfers. Methodology: To this end, an applied approach was used, aiming to solve a specific problem involving local interests. Based on literature reviews and similar research products, it is expected that the scraper will facilitate the extraction of information about research projects deposited in a specific online repository and, by combining the obtained data with those mined from a database of patents and/or technology transfers, demonstrate the return of studies, productions, and research to the country's economic and social development. Results: As a result of executing the tool on the INPI repository, 783 names of patent inventors were obtained, and the application on the UnB repository returned 53,704 authors of projects developed at the university. After comparing the generated tables, 3,244 records referring to authors who filed a patent were considered, which assists in the analysis of research that became innovations. Conclusion: The outcome indicates that the developed tool is functional for its intended purpose, considering that the cross-referencing of information is entirely feasible and can be incorporated into analyses and/or process improvements that maximize the innovation indicators generated by universities, mitigating the Legal Framework for Science, Technology, and Innovation.
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14
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William Carneiro de Mendonça
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FUEL CELLS AS A SOURCE OF ENERGY FOR IMPLANTABLE BIOELECTRONIC DEVICES: A SYSTEMATIC REVIEW
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Líder : RONNI GERALDO GOMES DE AMORIM
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MIEMBROS DE LA BANCA :
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RONNI GERALDO GOMES DE AMORIM
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GERARDO ANTONIO IDROBO PIZO
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MARCELO BENTO DA SILVA
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ROBERTO KENNEDY FERREIRA DA SILVA DE QUEIROZ
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Data: 30-jun-2023
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Resumen Espectáculo
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Introduction: FUEL CELLS AS ENERGY SOURCES IN IMPLANTABLE MEDICAL DEVICES: A SYSTEMATIC REVIEW consists of a bibliographic review on fuel cells and their degree of technological development and possible applications in biomedical engineering regarding active implantable medical devices. The fuel cell is an electrochemical device that uses hydrogen gas and oxygen gas to transform chemical energy into electrical energy, silently and without environmental hazards; It is also the objective of this work to highlight the importance of this new technology in the global energy scenario, with emphasis on Brazil, since, as it is a clean energy source, with zero or almost zero environmental impact, it is a strong candidate for replacing the current fossil energy matrix. Objective: This work explains, in general lines, the origin, functioning of this technology, as well as its advantages, limitations and applications with emphasis on biomedical engineering with regard to self-sustaining implantable bioelectronic devices. Methodology: Initially exploratory bibliographic research followed by a systematic review using the PICO strategy, an acronym for Patient, Intervention, Comparison and “Outcomes” (outcome). The research was carried out on a digital journal platform: a) Portal de Periódicos da Capes, b) Pubmed, c) Embase, d) IEEE Xplore, e) Scopus, f) Science Direct. The timespan of the research was between 2021 and 2022. For the inclusion and exclusion criteria of articles, the PRISMA-2015 protocol was used. Conclusion: Research into the development of fuel cells to power Active Implantable Medical Devices is on the rise, but in the development phase. There are already in vitro and in vivo tests. However, many barriers must be overcome for the use of these electrochemical devices in DMIA. The availability of this technology will reduce surgical risks for patients, decrease financial expenses with: medical staff, surgical centers, in addition to eliminating hospitalization time in ICUs.
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15
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INAE RODRIGUES DAMACENO SILVA
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Chronic effects from the proprioceptive neuromuscular facilitation on reflex responses and V-wave of the soleus muscle
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Líder : RINALDO ANDRE MEZZARANE
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MIEMBROS DE LA BANCA :
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RINALDO ANDRE MEZZARANE
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JAKE CARVALHO DO CARMO
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LUCIANA HAGSTROM BEX
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FERNANDO HENRIQUE MAGALHÃES
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Data: 07-jul-2023
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Resumen Espectáculo
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Increased flexibility can be associated with improved life quality (relief of pain, increased motor performance, etc). Among the techniques used to improve flexibility, there are the static stretch, dynamic stretch, proprioceptive neuromuscular facilitation (PNF), etc. Although the PNF is one of the most effective, little is known about the mechanisms responsible for the effects on flexibility. Despite the assumption of neurophysiological mechanisms mediating the effects, such as those involved in the modulation of the excitability of the stretch reflex pathway reflex (e.g., presynaptic inhibition), the studies on this topic are scarce. The purpose of the present study is to investigate the neurophysiological mechanisms involved in the changes in the maximal ankle joint angle after PNF training using the technic of contract-relaxing (CR). Thirteen healthy young volunteers participated in the present study. The intervention consisted of 16 sessions (4 weeks, 4 times per week). Each session consisted of a passive stretch for 10 s followed by a voluntary contraction for 6 s at 60% the maximal voluntary contraction (MVC), and a second passive stretch of 10 s. The maximal joint amplitude showed significant differences with the PNF training. The additional variables that showed statistical significance were Mmax, the torque related to Mmax and the RMS value from the EMG during the CVM. It is suggested that the mechanisms involved in the improvement of ankle joint flexibility are peripheral, i.e., are not related to central nervous system adaptations.
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16
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ANA KAROLINE ALMEIDA DA SILVA
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Ethical and regulatory in the use of organs-on-a-chip platforms for diabetic foot wound studies: perspectives from biomedical engineering and translational research in Brazil
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Líder : SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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MIEMBROS DE LA BANCA :
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SUELIA DE SIQUEIRA RODRIGUES FLEURY ROSA
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GLECIA VIRGOLINO DA SILVA LUZ
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CICILIA RAQUEL MAIA LEITE
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JOSÉ CARLOS TATMATSU ROCHA
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Data: 18-ago-2023
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Resumen Espectáculo
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The research and development of Organ-on-a-chip (OoC) devices have been garnering increasing attention due to their revolutionary potential in the field of medicine and biomedical research. These miniature devices are designed to replicate the structure and function of human organs with greater precision than traditional cell cultures or animal models. They offer highthroughput screening, accelerating the discovery of new drugs and identifying potential side effects or interactions between different organs with greater accuracy. Additionally, they have the potential to reduce the need for animal models in toxicological testing. One of the promising applications for OoCs is the study of Diabetes Mellitus (DM) and its complications, such as diabetic foot ulcers (DFU). DFU is a severe comorbidity associated with high rates of morbidity, mortality, and amputations, posing a major challenge to global healthcare systems. The use of this technology in this context aims to provide crucial insights into the pathophysiology and enable more effective therapeutic approaches, including personalized medicine. This dissertation aims to analyze the ethical and regulatory aspects of implementing OoCs in Translational Health Research (THR) in Brazil, with a focus on the role of Biomedical Engineering in developing this technology. The work is divided into seven chapters, covering various elements related to the devices and their application in the context of diabetic foot ulcers, including two systematic reviews. The first article focuses on the use of microphysiological systems in the DFU scenario, exploring their applicability in understanding functional changes in the body and the underlying disease mechanisms. The second study sought evidence on a potential healing biocompound, urucum, for the treatment of chronic wounds. Additionally, national and international legislations and regulations governing the use of OoCs were analyzed. Furthermore, a scientific marketing plan was developed to disseminate knowledge about these platforms and their significance in scientific research and innovation. This comprehensive methodology allowed exploring different aspects of OoCs and their relevance to DFU studies, as well as promoting the advancement of this technology in national THR. This dissertation represents a significant milestone in the field of legislation and regulation of devices in Brazil. It aims to provide a solid foundation that can be used in shaping public policies and regulatory guidelines in the country. The importance of interdisciplinarity between Biomedical Engineering and the healthcare sector is emphasized, propelling Brazil to the forefront of biomedical research and ensuring that the use of OoCs benefits not only science but society as a whole. This work serves as a call to action for regulatory authorities, researchers, and healthcare professionals to join forces in creating an agile and efficient regulatory environment that encourages the safe and ethical advancement of OoCs, paving the way for a new era of innovative discoveries and treatments with the potential to positively transform the health and quality of life of millions of Brazilians.
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17
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Denilson Nogueira dos Santos Paixão
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Analysis of tumor Dynamics by fractional differential equations
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Líder : RONNI GERALDO GOMES DE AMORIM
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MIEMBROS DE LA BANCA :
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RONNI GERALDO GOMES DE AMORIM
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LEANDRO XAVIER CARDOSO
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RODRIGO ANDRES MIRANDA CERDA
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RENDISLEY ARISTÓTELES DOS SANTOS PAIVA
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Data: 15-sep-2023
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Resumen Espectáculo
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In this work, we address one of the major health problems that plagues humanity: cancer. Currently, there are several studies about the treatment and combat of this disease. In this sense, this work analyzed some mathematical models of the evolution of breast cancer by applying fractional calculus, according to Caputo's fractional derivative approach. For this, an analysis of the fractional versions of the following mathematical models was carried out: the Malthus model; Logistics equation; and Gompertz equation. Then, we solved the fractional differential equations numerically using the fractional Adams-Bashfort method. As a result, we conclude that methods based on fractional calculus describe tumor growth more satisfactorily than methods based on integer order calculus. And yet, among the three fractional models analyzed, the fractional logistic model was the one that presented the best correlation with the real data, that is, when compared to experimental data, it presented the lowest mean squared error.
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18
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Allan Paulo de Souza
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Characterization of Electroencephalography Patterns Using Machine Learning in the Identification of Sleep-Associated Pathologies
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Líder : CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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MIEMBROS DE LA BANCA :
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CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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ADSON FERREIRA DA ROCHA
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NILTON CORREIA DA SILVA
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LUCIANO MANHÃES DE ANDRADE FILHO
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Data: 28-sep-2023
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Resumen Espectáculo
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Sleep consists of a series of fundamental stages for the quality of life in several species. Its importance is comparable to food and physical activity. However, their understanding still has gaps that need to be studied.
In this sense, two technologies can contribute, in particular, to the understanding of sleep. The first concerns the electroencephalography (EEG), which is relevant in several neuroscience studies, including sleep. The other technology is machine learning, which has been gaining ground as a tool for identifying patterns that aid in diagnosis; but there are still few works that use these techniques to identify pathologies associated with sleep.
Therefore, this work proposes to compare different machine learning approaches from EEG data in order to automate analyzes to aid in the diagnosis of sleep-associated pathologies. For this, the use of support vector machines (SVM) and random forests (Random Forest) with different hyperparameters from characteristics obtained by calculating energies in signal frequency bands were compared.
In experiments with SVM, approaches with grain variation were tested; with Random Forests, maximum depth. Furthermore, these results were compared with those obtained using convolutional neural networks (CNN), defining characteristics dynamically through the layers of this network. In these CNN architectures, distinct convolutional and dense layers were used with changing hyperparameters.
To carry out this work, polysomnography data available on the Physionet portal was used. From these raw data, there was feature selection and, with the exception of experiments that used CNN, feature extraction using Fourier transform, selecting different derivations (electrodes).
In the pilot study, algorithms were implemented to classify the EEG signal of nocturnal frontal lobe epilepsy. The results obtained with SVM and Random Forest suggest that these classifiers can identify relevant patterns from EEG signals: the highest accuracy (mean of 5 folds) was 60% in both approaches. In addition, comparisons of the work with these approaches showed that the spatial distribution of information is spatially homogeneous. On the other hand, it was not possible to distinguish the EEG signals of participants with epilepsy, even using different architectures, varying the number of layers, activation functions, number of neurons and dropout.
Then, new experiments were implemented using the results of preliminary studies as a guideline. For this, new classifiers were trained with data that went through other stages of preparation from signal windowing and signal filtering. As a result, there was an improvement in the performance metrics of the classifiers.
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19
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Josue Nascimento da Silva
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Automatic Generation of X-ray Images Diagnostic Reports, with Attention-Based Explainability Applied to a Recurrent Neural Network
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Líder : CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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MIEMBROS DE LA BANCA :
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CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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NILTON CORREIA DA SILVA
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FABIANO ARAUJO SOARES
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ANDRÉ COUTINHO CASTILLA
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Data: 29-sep-2023
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Resumen Espectáculo
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Specific problems related to the analysis of radiological exams have been widely documented for at least 50 years. Among the main circumstances that lead to diagnostic errors, evaluations conducted by early-career physicians, inadequate communication among team members, night shifts, shift changes, and faulty reasoning are noteworthy.
In this regard, the use of artificial intelligence as a tool for decision-making and diagnosis has the potential to assist healthcare professionals in achieving greater precision and sensitivity in their analyses, thereby improving patient treatment. Therefore, the objective of this study is to develop an encoder-decoder architecture for an artificial intelligence model capable of automatically generating medical reports with specific information extracted from image exams. The idea is that this information in the images reflects the aspects guiding the decisions and analyses indicated in the report text, representing a contribution compared to the predominant approaches in the literature, which often focus solely on the text itself.
To accomplish this objective, X-ray images along with their respective reports were used. An encoder network based on the Densenet121 architecture was developed to extract features from the exams, which are then translated by a decoder based on transformers, allowing for the learning of semantic relationships between words, along with the long short-term memory (LSTM) technique for report generation.
To relate regions of the images to the generated words, the spatial attention technique was applied, capturing the most relevant regions for producing specific words by the model. This process was applied to five pathologies: lung hypoinflation, lung hyperdistention, cardiomegaly, aorta tortuous, and spine degenerative, resulting in five encoder-decoder networks. During training, F1-score values of 76\% and area under the curve (AUC) of 80\% were achieved for the encoder. The encoders were evaluated using cross-validation to assess their generalization capacity with respect to the data used. As for the decoder, in report production, it was evaluated using the recall-oriented understudy for gisting evaluation (ROUGE) metric, obtaining average values of 0.32.
In conclusion, the proposed architecture is capable of generating reports and annotations in the image exams, serving as support for medical decision-making.
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20
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WESLAINE MACEDO GUIMARAES DOS SANTOS
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"Integration between the Legal Framework for Innovation and Biomedical Engineering: the case of the University of Brasília"
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Líder : MARIO FABRICIO FLEURY ROSA
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MIEMBROS DE LA BANCA :
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MARIO FABRICIO FLEURY ROSA
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ADSON FERREIRA DA ROCHA
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GLECIA VIRGOLINO DA SILVA LUZ
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JOSÉ CARLOS TATMATSU ROCHA
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Data: 23-nov-2023
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Resumen Espectáculo
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Introduction: The present work aims to analyze the impact of the Innovation Regulatory Framework on the Research, Development and Innovation (RD&I) process in Health within the scope of the University of Brasília (UnB), in the context of research projects managed by the Development Center Technological Innovation (NIT) at UnB in partnership with the Deanship of Research and Innovation (DPI), for the translation of technologies to the health area linked to the area of Biomedical Engineering. Objectives: The objectives of this work are: i. analyze the interface between the Legal Framework for Innovation and researchers linked to the public university; ii. Analyze the contributory mechanisms between the Legal Innovation Framework and the Technological Innovation Centers of public universities; iii. categorize research projects institutionalized at the University of Brasília through the Chamber of Projects, Agreements, Contracts and Related Instruments (Capro) of the Deanship of Research and Innovation (DPI) in the area of Biomedical Engineering; iv. correlate research projects with patent filings and/or technology transfers. Methodology: The descriptive, documentary and experimental method will be used, through the qualitative and quantitative analysis of processes, policies, databases and existing documents. In the background, the types of contracts and partnerships signed in the area of biomedical engineering and contemplated in the years 2011 to 2021 will be mapped with a view to identifying probable gaps within the scope of the Legal Framework and their consequences in the UnB RD&I process. Results: Numerous research projects, within the scope of UnB, managed to achieve their purpose, generating royalties and technology transfer, thus fulfilling the translation of research. However, very few projects are linked to the health area in Biomedical Engineering. Conclusion: Based on the data presented, it is possible to provisionally conclude that the University of Brasília has a large scientific and technological production, with emphasis on other areas of research besides health. It is possible to conclude that, although the University of Brasília operates through innovation and technological transfer management bodies, such as ACT, CITT, CDT and DPI, generating a notable number of research projects, technological transfers and deposits of patents, projects aimed at the health sector are still substantially reduced, particularly in the context of Biomedical Engineering.
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21
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JESSICA AGUIAR CARNEIRO
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"ANEMIA AND LONG PERIODS OF ICU ADMISSION"
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Líder : GLECIA VIRGOLINO DA SILVA LUZ
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MIEMBROS DE LA BANCA :
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GLECIA VIRGOLINO DA SILVA LUZ
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ALDIRA GUIMARAES DUARTE DOMINGUEZ
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SOLANGE BARALDI
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THAIS MARTINS GOMES DE OLIVEIRA
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Data: 25-nov-2023
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Resumen Espectáculo
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ABSTRACT: Anemia, despite being one of the most common diseases in the world, is of great importance because, in addition to affecting about a quarter of the world's population, it can seriously impair the clinical status of critically ill patients. There are several causes of the disease in the ICU, such as successive phlebotomies, hemolysis, irregularity in iron metabolism, among others. However, one of the sources of anemia still little studied in academia is the loss of blood volume due to daily collection for laboratory tests, which, in the vast majority, does not help close the expected diagnosis. The study aims to analyze the possible factors involved in the clinical manifestation of anemia in patients hospitalized for long periods in the Intensive Care Unit. By describing the demographic and clinical profile of critically ill patients diagnosed with anemia, analyzing whether routine health behaviors influence the manifestation of this disease, and reporting the characteristics and risk factors that predispose to this disease. The development of the research will take place at the Intensive Care Unit of the Hospital Regional de Santa Maria (HRSM) and at the Hospital Regional do Gama (HRG) in the Federal District (DF), using a quantitative approach and observational and longitudinal design. Including Men and women, admitted to the ICU, aged between 18 and 59 years of age; hospitalization period equal to or greater than 7 days and excluding Diagnosis of anemia at the time of admission to the ICU; outcome (considering discharge or death) of the patient within a period of less than 7 days. All information will be collected, expressed, managed, and disseminated by the REDCap software.
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22
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GEOVANNI OLIVEIRA DE JESUS
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EXPLAINABLE ARTIFICIAL INTELLIGENCE MODEL FOR MAMMOGRAM BREAST CANCER CLASSIFIERS
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Líder : CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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MIEMBROS DE LA BANCA :
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CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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NILTON CORREIA DA SILVA
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FABIANO ARAUJO SOARES
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LUCIANO MANHÃES DE ANDRADE FILHO
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Data: 30-nov-2023
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Resumen Espectáculo
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Breast cancer constitutes the highest incidence rate of cancer among women worldwide. As with other types of cancer, the faster it is discovered, the less invasive the treatment, and the greater the chances of the patient surviving. Having a tool that helps the analysis of mammograms to discover breast lesions and their classification is a way to help prevent cancer. With the development of technology, Artificial Intelligence has also grown, as well as its ramifications. Machine Learning and Deep Learning have developed and achieved good performance in tasks such as image classification and object detection. The mammogram analysis is an image classification task, and having a tool that helps in this task, which can be more than a black box classification in which it is not known how the response is obtained if the Machine Learning model were capable of explaining how it has achieved at the final classification, it would be possible to better direct physicians to use this model in their day-to-day analysis of mammograms.
Currently, some solutions address the classification of breast lesions, however, they use traditional Machine Learning algorithms, which do not have a performance as high as Deep Learning algorithms. In addition, they are considered black box solutions, which means that an answer is given from an input image, and it is not possible to know which factors influenced the final result of the classification. An Artificial Intelligence model that has its results explainable, that is, it is possible to understand what factors led it to reach the final classification result, gives more reliability to the users who use it. With this prediction explanation, it is possible to comply with laws such as the General Personal Data Protection Act (LGPD) and even the General Data Protection Regulation, the acronym in English GDPR, which is the European data protection law. An explainable model can fit into laws and make the solution be applied in a real domain. The diagnosis of cancer is a sensitive moment, and because of this, knowing how a Deep Learning or Machine Learning model reached a certain result can better direct doctors to investigate cases in a more targeted way, thus giving more emphasis to some characteristics of the image, in addition to generating more reliability in model prediction results.
The use of Deep Learning for image classification tasks has obtained surprising results, which match and in some cases even exceed human capacity, which is why this approach will be discussed in this dissertation. Combining a powerful classification tool with techniques that allow leaving the created models with explainable predictions, thus making a breast lesion classification tool with high-reliability potential for its end users, the medical specialists. To achieve these goals, Deep Learning architectures such as VGG16 and explainability techniques of trained models such as LIME, which is a well-performing and simple-to-use explainability framework, are investigated.
This dissertation aims to develop a Deep Learning model that uses Explainable Artificial Intelligence (XAI) techniques, that is, it has explainable predictions that classify breast lesions and identify the important characteristics that led the model to achieve such a result. result.
After model training using VGG16 architecture, the analyzed metrics were accuracy, specificity, and sensitivity, the results obtained were respectively 68 %, 77 %, and 65 %. Higher results were found in the literature, but these are not reproducible results. In many cases, the databases are private to hospitals where the team surveyed mammograms over the last 20 years, created the dataset, and performed the tests. There was a master's thesis done in 2020 by Adam J. with a similar approach and which obtained results close to those presented in this dissertation. The author reported an accuracy result of 67 %.
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23
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PAULA LAUANE ARAUJO
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"Technological development and characterization of a wound dressing based on Natural Latex (Hevea brasiliensis) containing bixin extract (Bixa orellana L.)"
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Líder : MARCELLA LEMOS BRETTAS CARNEIRO
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MIEMBROS DE LA BANCA :
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MARCELLA LEMOS BRETTAS CARNEIRO
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GLECIA VIRGOLINO DA SILVA LUZ
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JOSÉ CARLOS TATMATSU ROCHA
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MARCUS VINICIUS LIA FOOK
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Data: 07-dic-2023
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Resumen Espectáculo
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Úlcera de Pé Diabético (UPD) está entre as principais causas de hospitalização em diabéticos em decorrência de complicações associadas a altas taxas de amputação. Além disso, UPD representa alto custo para o Sistema Único de Saúde (SUS), representando um grave problema de saúde público. Assim, destaca-se a necessidade de investimento público para o desenvolvimento de pesquisas voltadas para a busca de estratégias terapêuticas curativas. Nosso grupo desenvolveu um sistema terapêutico para neoformação tecidual, denominado Rapha® o qual consiste no uso concomitante de fototerapia e curativo baseado em biomembrana de látex natural (BLN), oriundo de Hevea brasiliensis, com curcumina, um biocomposto com atividade antiinflamatória. Os resultados clínicos foram muito promissores, visto que a cicatrização foi cerca de 60% superior em relação ao tratamento convencional do SUS. Todavia, este curativo não apresentou efeito antimicrobiano. Considerando que infecções bacterianas estão relacionadas com o agravamento da ferida e aumento das chances de amputações, neste trabalho será desenvolvido um curativo baseado em biomembrana de Hevea brasiliensis (BLN) contendo biativos do urucum (Bixa orellana L), a fim de avaliar sua segurança e seu potencial terapêutico relacionado à cicatrização bem como seus efeitos antimicrobianos em ratos com infecção induzida. O bioativo utilizado será a bioxina, que consiste em um extrato fitocomplexo, extraído da semente do urucum e com alta biodisponibilidade, padronizado em geranilgeraniol e tocotrienóis. A bioxina foi obtida de forma comercial por meio de doação pela empresa Purifarma®. Para a produção das biomembranas, látex natural e bioxina foram adicionados em um béquer e homogeneizados com auxílio de agitador magnético, Em seguida, adicionou-se água destilada, em temperatura ambiente e novamente homogeneizado em agitador magnético. A solução resultante foi transferida a tubos falcon e centrifugada sob alta rotação durante 10 minutos. Após centrifugação, a solução foi coada e adicionada em placas de petri de 90 mm de diâmetro com auxílio de pipetador automático. As placas foram acondicionadas em ambiente ventilado para repouso durante 48 horas e seguiram para estufa de secagem durante 1 hora. Após vulcanização, as biomembranas foram retiradas das placas de petri com auxílio de uma pinça e embrulhadas em papel manteiga e, em seguida, acondicionadas em papel grau cirúrgico. As biomembranas produzidas passaram por testes para controle de qualidade.
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24
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Kassia Costa Fernandes
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Customized orthopedic insoles for physical activity practitioners: a review of the literature
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Líder : VERA REGINA FERNANDES DA SILVA MARAES
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MIEMBROS DE LA BANCA :
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JOSICÉLIA ESTRELA TUY BATISTA
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JULIANA DE FARIA FRACON E ROMAO
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MARILIA MIRANDA FORTE GOMES
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VERA REGINA FERNANDES DA SILVA MARAES
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Data: 07-dic-2023
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Resumen Espectáculo
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Introduction: The use of customized orthopedic insoles has been studied and indicated by health professionals in order to avoid injuries due to postural derangement, anatomical changes, limb dysmetria, pain, among other factors. However, there is still no consensus on the benefits of this intervention for athletes. Objective: To evaluate whether the use of a personalized insole in adult men who run improves the distribution of plantar pressure when compared to the common insole. Method: Systematic review, with search conducted in the following databases: Medline (via Pubmed), Embase, Web of Science, Virtual Health Library, Scopus, SportDiscus and Proquest. Intervention studies that used baropodometry assessment in men who run. Studies with high-performance athletes and people who had some morbidity were excluded from the review. There was no restriction regarding the period of publication and language of origin of the studies. To assess the risk of bias, we used the Robins-I and Rob 2.0 tool from the Cochrane collaboration. Meta-analyses of random effects, using the hedging technique, were conducted to measure the standardized mean difference and respective 95% confidence interval. Results: 1171 studies were detected, of which 13 were part of the systematic review. The sample included 434 male runners, aged 19 to 53 years. The studies were conducted and published between 2004 and 2021. Most of the non-randomised trials were at high risk of bias and the only randomised controlled trial was at high risk of bias. In addition, the meta-analysis indicated that there was no statistically significant difference between the angle of peak dorsoflexion between male runners who used custom insoles when compared to those who did not. Conclusion: The use of insoles did not show significant benefit for athletes. However, few studies were detected, and most of them were at high risk of bias. In this sense, it is recommended that new studies be conducted, with methodological robustness, in order to ratify or reject the hypothesis.
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25
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Cristiano Drumond Ribeiro
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Artificial Intelligence (AI), Patient safety, Hospital Institutions, Patients, Adverse Events (AE), Quality of healthcare services.
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Líder : GLECIA VIRGOLINO DA SILVA LUZ
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MIEMBROS DE LA BANCA :
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GLECIA VIRGOLINO DA SILVA LUZ
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CRISTIANO JACQUES MIOSSO RODRIGUES MENDES
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RONNI GERALDO GOMES DE AMORIM
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MARIA LIZ CUNHA DE OLIVEIRA
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Data: 11-dic-2023
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Resumen Espectáculo
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Introduction: Patient safety is an object of great concern in healthcare, as it is directly related to the quality of care. One of the biggest management challenges is developing strategies to reduce the occurrence of errors, which directly impact the quality of care, the individual's quality of life and care costs. The use of technologies such as artificial intelligence has demonstrated good results in solving problems and studies have focused on the analysis and construction of technological tools in the health sector. Objective. Promote the early identification of risk factors for adverse events in hospitalized patients, by facilitating the implementation and use of patient safety protocols, with the use of artificial intelligence. Method. This research was carried out in two parts. The first part refers to the Systematic Literature Review, with the aim of gathering evidence on the use of artificial intelligence in patient safety. The second part consists of the development of software, applied to the Adverse Events Scale Associated with Nursing Practices (EEAAPE), to identify the risk of adverse events occurring in the hospital environment. Results. The search in the databases returned 164 articles, of which, after analysis according to inclusion and exclusion criteria, 14 were included in the review. The data from the articles were extracted and organized in a Microsoft Excel® spreadsheet, and were grouped according to the study design, and the assessment of methodological quality was carried out using tools from the Joanna Briggs Institute (JBI). The software entitled “PrevenSystem - Hospital Incidents” was developed in Java Script language using React Native as a framework, according to the agile development methodology called Scrum. The system's functionality consists of facilitating the identification of risk factors for adverse events, based on the evaluation of items on a standard assessment scale, with the aim of reducing the occurrence of failures and ensuring rapid decision-making. The data entered is processed by algorithms that classify them using the “decision tree” method, so that the frequency of occurrence of a given situation corresponds to a certain probability of failure occurring. This AI application consists of predictive analysis, which is a model that uses machine learning, in an “AI-based prediction model” capable of providing probabilistic predictions of the current presence or future occurrence of a given result, according to the input data. This research includes registering the software with the National Intellectual Property Institute (INPI). Conclusion: The research result demonstrates the relevance of research on the application of AI in the prevention of adverse events in hospitalized patients, with good results in the evaluation of the systems developed, especially in reducing errors and agility in decision-making actions. However, it is identified that there is still a need for new studies in areas not yet addressed by current research. The application developed uses AI to analyze the dimensions of a validated instrument to assess the risk of adverse events occurring, according to the development phases of the agile Scrum methodology, being registered with the INPI, being able to be subjected to testing for validation and wide dissemination for use by health organizations.
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26
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Maria Tereza Dourado Melo
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Expert System for Identification of Ergonomic Risks in the Surgical Center.
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Líder : GERARDO ANTONIO IDROBO PIZO
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MIEMBROS DE LA BANCA :
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GERARDO ANTONIO IDROBO PIZO
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MARILIA MIRANDA FORTE GOMES
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RENATO CORAL SAMPAIO
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LUCIANA CORREIA ALVES
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Data: 11-dic-2023
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Resumen Espectáculo
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The environment of the Surgical Center, although designed for anestheticsurgical procedures, often does not favor the medical team, leading to injuries and accidents that harm the well-being of healthcare professionals. Osteomuscular symptoms are common due to these unfavorable conditions. In this context, the need arises to create a safe environment for professionals, adhering to ergonomics standards. Technology, especially Artificial Intelligence, emerges as a crucial solution. This study focused on the implementation of an Expert System to identify ergonomic risks in the surgical sector. Data collection was carried out through the analysis of standards and questionnaires. Based on these data, the system was developed using Expert Sinta software and, after testing and validation, proved to be effective in identifying ergonomic risks before the workspace is used by professionals. This allows preventive interventions, improving safety and health in the Surgical Center.
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27
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José Hevenicio do Nascimento Silva
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Segmentation of Computed Tomography Images Using the U-Net Algorithm: A Case Study in Bladder Images
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Líder : GERARDO ANTONIO IDROBO PIZO
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MIEMBROS DE LA BANCA :
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THAÍNA APARECIDA AZEVEDO TOSTA
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GERARDO ANTONIO IDROBO PIZO
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JONES YUDI MORI ALVES DA SILVA
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RENATO CORAL SAMPAIO
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Data: 15-dic-2023
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Resumen Espectáculo
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The dissertation addresses the influence of bladder filling on the position of the prostate or uterus in pelvic radiotherapy treatments. The reproducibility of radiotherapeutic planning and the dosage of radiation absorbed by the bladder are crucial for the success of the treatment and to minimize toxicity. The project aims to implement the U-Net architecture to segment the bladder in tomographic images, using a set of images from the University Hospital of Brasília (HUB). The U-Net model is expected to significantly improve the efficiency of treatment planning in radiotherapy.
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28
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Cleonice Lisbete Silva Gama
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Medication distribution profile of the specialized component of pharmaceutical assistance in the Federal District
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Líder : MARILIA MIRANDA FORTE GOMES
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MIEMBROS DE LA BANCA :
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MARILIA MIRANDA FORTE GOMES
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GLECIA VIRGOLINO DA SILVA LUZ
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JORGE ANDRES CORMANE ANGARITA
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THUANY DE ALENCAR E SILVA
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Data: 21-dic-2023
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Resumen Espectáculo
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High-cost drugs within the scope of the Unified Health System represent a complex challenge that involves ethical, political, economic and management issues. Ensuring equitable and efficient access to these medicines is essential for proper patient care. In this context, it is important to analyze the different related aspects, including clinical evaluation, economic impact and public policies, as this analysis can contribute to improving the management and planning of resources, aiming to guarantee the best therapeutic result for patients and financial sustainability of the health system. Objectives: outline different actions for different types of users in order to improve the management of medicines in CEAF DF, based on demographic and epidemiological data, in the years 2012, 2018 and 2021, so that such contributions can serve as a basis for implementing improvements locally and/or or in similar services at the state and municipal level in other locations. Methodology: The present work is characterized as an exploratory study, of a descriptive, observational nature, carried out through bibliographical research with the use of TEMAC, to obtain scientific information of greater relevance, following the bibliometric laws in the main databases, resulting in an integrative approach and analysis of data from a national bank with records of medication use from CEAF.
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