Mathematics Webinar | Data Modelling, AI, and Health: Bridging Models and Insights in Epidemiology, Biostatistics, and Medical Imaging
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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
Meet Our Speakers
Dr. Andrew B Lawson
Department of Public Health Sciences, Division of Biostatistics and Bioinformatics, Medical University of North Carolina, USA;
Prof. Duncan Lee
School of Mathematics, University of Glasgow, Scotland;
Dr. José Guilherme Almedia
Computational Clinical Imaging Group at the Champalimaud Foundation;
The webinar was hosted via Zoom and required registration to attend. The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.
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