Artificial Intelligence for Biophysics
The integration of artificial intelligence (AI) with biophysics holds immense promise in advancing our understanding of complex biological systems. By harnessing the power of AI in multidisciplinary collaborations, researchers can uncover hidden patterns, relationships, and mechanisms within biological data that may have been previously inaccessible. This synergy between AI and biophysics not only enhances our ability to predict and simulate biological processes, but also extends beyond academic research to new avenues for practical applications in drug discovery, biotechnology and disease treatment.
The special issue on “AI for Biophysics” aims to showcase the cutting-edge research, technological advancements,
and interdisciplinary collaborations that are driving the convergence of AI and biophysics towards transformative
discoveries and applications in the life sciences.
Topics covered include, but are not limited to:
- Computational Modeling
- Systems Biology
- DNA/RNA and Protein
- Drug Discovery and Design
- Channels and Membranes
- Imaging and Manipulation
- Biomechanics
- Biomedical Data Analysis
- Neural Networks
- Swarm Intelligence
Guest Editors
Jianwei Shuai, Wenzhou Institute UCAS
Jin Yu, University of California, Irvine
Biophysics Reviews Editors
Hui Li, Beijing Normal University