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AI for biology:Catalyzing interdisciplinary innovation to unravel life’s complexity and address biomedical challenges
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作者 Xiu-Jie Wang Fangqing Zhao +1 位作者 Qiangfeng Cliff Zhang Hong-Liang Zhang 《Fundamental Research》 2026年第1期1-2,共2页
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.From integrating multi-... 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.From integrating multi-omics data to revealing new regulatory mecha-nisms,and from deciphering protein structures to designing novel drug molecules,AI technologies have provided versatile tools to accelerate biological and biomedical research,making it possible to address chal-lenges that were once considered intractable.This special issue brings together 11 articles that showcase the application of AI in biological and biomedical research from different aspects,aiming to highlight how AI-driven innovations are reshaping biological research and clinical practice. 展开更多
关键词 deciphering protein structures designing novel drug moleculesai accelerate biological biomedical researchmaking artificial intelligence ai biology interdisciplinary innovation decode biological systems artificial intelligence
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