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 Group

𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲:
30 June 2026

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲

This Special Issue explores the transformative potential of integrating Artificial Intelligence (AI) with mathematical modeling to advance population health and biomedical research. The issue focuses on rigorous mathematical approaches for understanding biological populations, physiological processes, and health informatics from a population-level perspective.

The Special Issue seeks original contributions that develop, analyse, and apply mathematical frameworks and AI-driven models to address complex health and biomedical challenges. Emphasis is placed on methodological innovation, population relevance, predictive accuracy, and interpretability of models.

Contributions that bridge theoretical development, computational techniques, and data-driven validation are particularly encouraged to establish a strong mathematical foundation for future AI applications in medicine and public health.

𝗧𝗼𝗽𝗶𝗰𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁

Submissions may address, but are not limited to:

• AI-driven mathematical models for population health and biomedical systems
• Learning algorithms for large-scale genomic and omics datasets
• Population genetics and disease risk stratification models
• Biomarker discovery using AI and computational methods
• Dynamical systems and differential equations in physiological and disease modelling
• Mathematical models of biological regulation and epidemiological processes
• Graph theory and network analysis in population health informatics
• Disease transmission and healthcare connectivity networks
• Gene interaction networks and systems biology applications
• Data-driven validation of population health models
• Predictive and interpretable AI models for healthcare applications
• Computational techniques for population-level health analysis

𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗙𝗼𝗰𝘂𝘀

The Special Issue aims to showcase advances in mathematical and AI-based approaches that enhance the understanding of population dynamics, disease progression, biological regulation, and healthcare systems. It seeks to promote interdisciplinary research that integrates mathematical rigor with artificial intelligence to generate impactful insights for population health research and biomedical sciences.

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀

• Manuscripts should present original theoretical, empirical, or computational contributions.
• Studies should demonstrate mathematical rigor, methodological innovation, and population-level relevance.
• Contributions integrating AI methods with mathematical population modelling are particularly encouraged.
• Manuscripts must be prepared according to the author guidelines of Mathematical Population Studies.
• Manuscript Submission Deadline: 30 June 2026.

𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗘𝗱𝗶𝘁𝗼𝗿𝘀

• Azree Nazri, Universiti Putra Malaysia
• Gary Loh Chee Wyai, University of Technology Sarawak, Malaysia
• Bartholomew Odinaka Ogbonna, University of Portharcourt, Nigeria

𝗣𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗲𝘁𝘂 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝘀 — 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻

Visit official website of the publisher