AI for biology: Catalyzing interdisciplinary innovation to unravel life’s complexity and address biomedical challenges
AI for biology: Catalyzing interdisciplinary innovation to unravel life’s complexity and address biomedical challenges
Xiu-Jie Wang,Fangqing Zhao,Qiangfeng Cliff Zhang,Hong-Liang Zhang
2025 · DOI: 10.1016/j.fmre.2025.10.002
Fundamental Research · 0 Citations
Abstract
The intersection of artificial intelligence (AI) and biology has emerged as a transformative force in modern research, redefining how we decode biological systems and tackle unmet biomedical needs