Artificial intelligence(AI)is revolutionizing the traditional paradigm of drug development at an unprecedented pace.With the rapid advancement of technologies such as deep learning and machine learning,AI has demonstr...Artificial intelligence(AI)is revolutionizing the traditional paradigm of drug development at an unprecedented pace.With the rapid advancement of technologies such as deep learning and machine learning,AI has demonstrated substantial potential in various aspects of pharmaceutical research,including drug target identification,molecular design,and clinical trial optimization(Figure 1).Industry reports suggest that AI has the potential to reduce the drug development timeline from the conventional 10–15 years to 2–3 years,while also slashing development costs by billions of dollars.This article provides a comprehensive analysis of the current applications and future trends of AI in drug development and discovery,focusing on three dimensions:current hotspots,challenges,and future directions.展开更多
基金supported by the Centrally Guided Local Science and Technology Development Project(2024ZYD0043).
文摘Artificial intelligence(AI)is revolutionizing the traditional paradigm of drug development at an unprecedented pace.With the rapid advancement of technologies such as deep learning and machine learning,AI has demonstrated substantial potential in various aspects of pharmaceutical research,including drug target identification,molecular design,and clinical trial optimization(Figure 1).Industry reports suggest that AI has the potential to reduce the drug development timeline from the conventional 10–15 years to 2–3 years,while also slashing development costs by billions of dollars.This article provides a comprehensive analysis of the current applications and future trends of AI in drug development and discovery,focusing on three dimensions:current hotspots,challenges,and future directions.
