Mathematical Approaches to Advanced Applications in Biomedicine Using Machine Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 103
Special Issue Editor
2. Department of Biomedical and Translational Sciences, Carle Illinois School of Medicine, Urbana, IL, USA
Interests: AI; deep learning; medical decision-making; computational biology
Special Issue Information
Dear Colleagues,
Machine learning methods have become increasingly powerful in recent years and transformed various domains, and biomedicine is no exception. ML has found numerous applications in the field of biomedicine, tackling complex problems such as predicting 3D structures of proteins, deciphering intricate genetic regulatory networks, and assisting in medical decisions, such as diagnosing diseases and recommending personalized treatment plans. These applications highlight the potential of ML to revolutionize and significantly enhance various facets of biomedicine. With great enthusiasm, we would therefore like to announce our forthcoming Special Issue, named "Mathematical Approaches to Advanced Applications in Biomedicine Using Machine Learning".
Given the interdisciplinary nature of the Special Issue, we invite researchers from different areas of mathematics, statistics, computer science, biology, and medicine to contribute. Topics include but are not limited to:
- Novel machine learning algorithms for analyzing complex biological data such as genetics, genomics, and proteomics;
- ML algorithms for the integration of multimodal data in bioinformatics;
- Machine learning-driven drug discovery and development;
- Disease diagnosis, prognosis, and treatment recommendations using AI;
- Applications of ML methods to clinical decisions such as disease diagnosis and treatment recommendations;
- Mathematical modelling of ethical considerations and challenges in using machine learning in biomedicine.
Dr. Mehmet Eren Ahsen
Guest Editor
Manuscript Submission Information
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