Mathematics Webinar | Data Modelling, AI, and Health: Bridging Models and Insights in Epidemiology, Biostatistics, and Medical Imaging
Mathematics Webinar | Data Modelling, AI, and Health: Bridging Models and Insights in Epidemiology, Biostatistics, and Medical Imaging
epidemiology, biostatistics, data analysis in healthcare, AI in medical imaging, disease modeling, health data analytics, computational epidemiology, public health modeling, machine learning in healthcare
Welcome from the Chair
Join us for an engaging webinar as we explore cutting-edge topics from the Special Issue of Mathematics on " Data Modelling, AI, and Health: Bridging Models and Insights in Epidemiology, Biostatistics, and Medical Imaging". This session will delve into key advancements in the field. Our three distinguished experts will present their insights on the latest research, methodologies, and applications, offering a comprehensive view of how mathematical models and data analysis are transforming epidemiology and biostatistics and AI's growing role in healthcare, particularly in processing medical images for disease detection and monitoring.
Whether you are a researcher, clinician, or data scientist, this webinar promises to provide valuable perspectives on the integration of traditional statistical methods with AI-driven solutions to address current healthcare challenges.
Date: 13 November 2024
Time: 15:00 (CET)
Webinar ID: 858 3456 6325
Webinar Secretariat: journal.webinar@mdpi.com
Event Chairs
NOVA Medical School, NOVA University Lisbon, Portugal
Jorge M. Mendes is currently an Associate Professor at NOVA Medical School (NMS). His research is mainly in environmental statistics, mathematical epidemiology, and biostatistics. He is an integrated of the Comprehensive Health Research Centre (CHRC). This research centre brings together several institutions committed to fundamental and translational clinical and health research. He was awarded a BSc in Statistics and Information Management from NOVA University of Lisbon, a master’s in Probability and Statistics and a PhD in Statistics and Operations Research from University of Lisbon. He is author of several scientific publications in national and international outlets, being invited as a referee regularly. At NOVA University, he has been coordinating several research and development projects. He supervises, on a regular basis, MSc and PhD students. Often, he is invited to be external examiner in MSc and PhD exams in other institutions.
Invited Speakers
Department of Public Health Sciences, Division of Biostatistics and Bioinformatics, Medical University of North Carolina, USA
School of Mathematics, University of Glasgow, Scotland
Computational Clinical Imaging Group at the Champalimaud Foundation
Program
|
Speaker/Presentation |
Time in CEST/CET (Basel time) |
|
Jorge M. Mendes Chair Introduction |
3:00 pm – 3:10 pm |
|
Andrew B. Lawson Multiscale Space-Time Bayesian Models for Covid-19 Dynamics |
3:10 pm– 3:40 pm |
|
Q&A Session |
3:40 pm – 3:50 pm |
|
Ducan Lee Localised spatial smoothing and risk boundaries in Glasgow |
3:50 pm – 4:20 pm |
|
Q&A Session |
4:20 pm– 4:30 pm |
|
José G. Almeida How does machine-learning assist medical imaging specialists? |
4:30 pm – 5:00 pm |
Relevant Special Issue
Data Modeling and Analysis in Epidemiology and Biostatistics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 28 February 2025
