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Mathematics Webinar | Data Modelling, AI, and Health: Bridging Models and Insights in Epidemiology, Biostatistics, and Medical Imaging

13 Nov 2024, 15:00 (CET)

epidemiology, biostatistics, data analysis in healthcare, AI in medical imaging, disease modeling, health data analytics, computational epidemiology, public health modeling, machine learning in healthcare
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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: 03:00 p.m. (CET) | 09:00 a.m. (EST) | 10:00 p.m. (CST) Asia

Webinar ID: 858 3456 6325

Webinar Secretariat: journal.webinar@mdpi.com

Event Chair

NOVA Medical School, NOVA University Lisbon, Portugal

Introduction
Bio
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 CET

Time in EST

Jorge M. Mendes

Chair Introduction

3:00 pm – 3:10 pm

09:00 am – 09:10 am

Andrew B. Lawson

Multiscale Space-Time Bayesian Models for Covid-19 Dynamics

3:10 pm– 3:40 pm

09:10 am– 09:40 am

Q&A Session

3:40 pm – 3:50 pm

09:40 am – 09:50 am

Ducan Lee

Localised spatial smoothing and risk boundaries in Glasgow

3:50 pm – 4:20 pm

09:50 am – 10:20 am

Q&A Session

4:20 pm– 4:30 pm

10:20 am– 10:30 am

José G. Almeida

How does machine-learning assist medical imaging specialists?

4:30 pm – 5:00 pm

10:30 am – 11:00 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

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Organizers

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