2 Feb
2024
2 Feb
'24
3:03 p.m.
Bonjour tout le monde,
Dans le cadre des séminaires de l'équipe Sécurité /Systèmes, nous écouterons sur Teams
Patricia Endo, professeur associé à l'université de Pernambuco (Brésil), jeudi
08/02/2024 à 15h00.
Patricia Endo nous parlera de ses travaux sur "How can we use Artificial Intelligence
in the health area?"
Résumé:
Artificial Intelligence (AI) is reshaping the healthcare sector, presenting significant
prospects for the advancement of patient care, the augmentation of medical research, and
the optimization of healthcare administration. This talk delves into applications of AI
within the healthcare domain, with a particular focus on its role in addressing tropical
neglected diseases (NTD). In the context of tropical neglected diseases, AI has emerged as
a powerful tool for early detection, diagnosis, and treatment monitoring.
In this tutorial, Professor Patricia Endo will discuss research projects focused on NTDs
such as tuberculosis, arboviruses, and leprosy, presenting some low-cost solutions her
research group has been developing.
Bio :
Patricia Takako Endo is an Associate Professor at the University of Pernambuco (UPE),
working in the Bachelor's degree program in Information Systems - Campus Caruaru, and
as a permanent member of the Graduate Program in Computer Engineering (PPGEC) at the
Polytechnic School of Pernambuco (POLI/UPE). Currently, she is the Vice-Coordinator of
PPGEC Caruaru. She is the lead researcher of the dotLAB Brazil research group at UPE. She
holds a Ph.D. in Computer Science from the Center for Informatics (CIn) at UFPE (2014), a
Master's degree in Computer Science from UFPE (2008) in the area of Computer Networks,
and a Bachelor's degree in Computer Engineering from the Federal University of Pará
(2005). She has experience in the field of Computer Engineering, with emphasis on computer
networks, telecommunications, and data science, mainly working on the following topics:
network technologies, wireless networks, cloud computing, fog computing, e-health systems,
and data science applied to health.
Cordialement,
Ghada Gharbi
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