Mathematical and Artificial Intelligence Modeling for Population Health and Biomedical Systems

Call for Papers
Mathematical and Artificial Intelligence Modeling for Population Health and Biomedical Systems
Journal: Mathematical Population Studies
Publisher: Taylor & Francis
Submission Deadline: 30 June 2026

Overview
This special issue focuses on how artificial intelligence and mathematical modeling can transform population-level research in health sciences. It emphasizes rigorous approaches to biological populations, physiological processes, and health informatics, with a strong focus on population dynamics. The issue aims to improve predictive accuracy, interpretability, and practical value in population health research.

Detailed Scope
The call welcomes original research on generalized learning algorithms for large-scale genomic and omics data, population genetics, disease risk stratification, biomarker discovery, dynamical systems, differential equations, graph theory, network analysis, and healthcare connectivity. It also encourages studies that bridge AI methods with population health modeling through theoretical development, computational techniques, and data-driven validation. The overall goal is to build a strong mathematical foundation for future AI applications in medicine.

Submission Information
Manuscripts should follow the journal’s author guidelines and be submitted through the Taylor & Francis submission portal for Mathematical Population Studies. The special issue deadline is 30 June 2026. The call emphasizes mathematical rigor, population relevance, and methodological innovation as key criteria for consideration.

Guest Editors

• Azree Nazri — Universiti Putra Malaysia.

• Gary Loh Chee Wyai — University of Technology Sarawak, Malaysia.

• Bartholomew Odinaka Ogbonna — University of Portharcourt, Nigeria.

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