Palestras

20º Simpósio Brasileiro de Computação Aplicada à Saúde

Palestra 1 – 15 de setembro, 14h30

Machine Learning for Ageing Research

Alex Freitas

Traditionally, medicine focuses on combating one disease at a time. However, with the growing increase in the proportion of elderly people in the population of many countries, there has been an increasing interest on ageing research, since old age is one of the greatest risk factors for many diseases (e.g. most types of cancer). Hence, a greater understanding of the underlying ageing process could in principle lead to a better understanding of several age-related diseases and to a better health from a more “holistic” perspective. Due to the difficulty of doing biomedical experiments on ageing, particularly with humans, machine learning is being increasingly used for analyzing ageing-related data. This talk will briefly discuss some applications of machine learning algorithms to age-related data, focusing on supervised machine learning (mainly classification) methods and how they can be adapted to the specific characteristics of biomedical age-related datasets.

Palestra 2 – 16 de setembro, 14h45

Social robots as assistants in therapeutic interventions for dementia care

Jesús Favela

Socially Assistive Robots (SAR) support users mainly through social rather than physical interaction. While research on the use of SAR for dementia has been conducted for several years, advances in areas such as speech recognition and affective computing are providing robots with increased capabilities and affordances to assist in diverse dementia care scenarios. I will discuss the design of the conversational robot EVA, and results from its evaluation over the last three years to assess adoption, autonomy and its impact in addressing behavioral and psychological symptoms of dementia. I will also discuss some of the open challenges, both technical and social, including the ethical implications of interventions conducted by robots.

Palestra 3 – 17 de setembro, 11h

Realidade Virtual Aplicada à Saúde

Liliane Machado

Como fornecer ambientes seguros para treinamento, como motivar pacientes em tratamentos e como prover experiências realistas capazes de expadir os limites do mundo real são questões relacionadas ao desenvolvimento e uso da realidade virtual. No campo da saúde, as pesquisas nesta área podem abordar desde o design de conteúdo e a exploração sensorial, até as metodologias capazes de avaliar automaticamente as ações do usuário realizadas por meio de dispositivos não convencionais. Nesta palestra serão explorados estes aspectos, bem como iniciativas, projetos e produtos no Brasil voltados para a saúde.

Palestra 4 – 18 de setembro, 14h

Computer-aided Diagnosis: Engineering Improved Health Care

Rangaraj M. Rangayyan

Systems for computer-aided diagnosis (CAD) are now in routine clinical use for improved and efficient diagnosis of several major diseases, such as breast cancer, lung cancer, retinopathy, and gastrointestinal diseases. This seminar starts with a pictorial introduction to CAD in terms of the techniques and subject areas that contribute to the design of CAD systems. It is shown how the application of digital signal processing, digital image processing, pattern recognition, machine learning, and computational procedures can enhance biomedical signals and images, segment and characterize parts of interest, identify normal patterns and structures, and detect abnormal features and diseases for CAD. The need for CAD systems, the objectives of CAD in several applications, the benefits of CAD, and methods to evaluate the usefulness of CAD systems are explained. Examples with several medical signals and images are shown to demonstrate the design and development of engineering systems for improved health care. Details are presented on an application of choice: CAD of subtle signs of breast cancer or retinopathy of prematurity.

Painel – 17 de setembro, 16h

Saúde Digital no enfrentamento da covid-19

Juliana Souza-Zinader
DataSUS

Paulo Lopes
RNP

Renato Francês
UFPA

Moderador:
Lucas Ferrari de Oliveira
UFPR/CE-CAS

© SBCAS 2020 20º Simpósio Brasileiro de Computação Aplicada à Saúde
Desenvolvido por Emanuel Machado

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