Mathematical modeling and analysis in biomedicine combine the mathematical and computational methods in biomedical research to understand complex biological and physiological systems better. It involves developing mathematical models and computational tools that can simulate and predict the behaviour of biological systems under different conditions and using these models to refine hypotheses, optimize interventions, and predict outcomes.
Mathematical models and computational methods can be used to integrate data from multiple sources, such as clinical trials, imaging studies, and genetic analyses. By combining various data types, researchers can develop more comprehensive models that provide better solutions for infectious disease prevention, cardiovascular health improvement, and drug development.
This article collection welcomes cutting-edge contributions and topic reviews on physiological modeling, biomechanics applications, machine learning methods for biomedical research, healthcare informatics, and data mining for drug development and biomedicine.
Possible contributions may include but are not limited to innovations on:
- Physiological and biomechanical modeling
- Biodata mining and interpretation for drug development
- Healthcare monitoring and bioinformatics
- Machine learning for healthcare data analysis
- Computer-aided diagnosis and analysis
- Biological networks related to disease and drug mechanisms
Keywords: Physiological system modeling; Biodata mining; Healthcare informatics; Machine learning; Computer-aided diagnosis
All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisor for this collection will not be handling the manuscripts (unless they are an Editorial Board member). Please review the journal scope and author submission instructions prior to submitting a manuscript.
The deadline for submitting manuscripts is 31 November 2023.
Yunfeng Wu is currently an Associate Professor at the School of Informatics, at Xiamen University. He is a Senior Member of IEEE and serves on the editorial board for Physiological Measurement, Bioengineering, Sensors, Frontiers in Signal Processing, and Computational and Mathematical Methods. His research interests include biomedical signal processing, data mining, and machine learning.
Han Wang is currently the Director of the Institution of Computational Biology, Northeast Normal University, China. Major in transmembrane protein structure and function research using artificial intelligence methods, including big biological data, protein-protein interaction, drug target discovery, and drug affection.
Behnaz Ghoraani is an Associate Professor of Electrical Engineering and Computer Science at Florida Atlantic University, where she specializes in biomedical signal analysis, machine learning, wearable and assistive devices for rehabilitation, and remote home monitoring. Additionally, she serves as an Associate Editor for the IEEE Journal of Biomedical and Health Informatics and BioMedical Engineering OnLine (BMEO) Journal.
