Artificial intelligence-driven drug discovery: a deep learning paradigm shift in pharmaceutical research and development
To bridge the gap between in silico predictions, chemical synthesis, and biological reality, emerging solutions such as federated learning, causality-aware Explainable AI, closed-loop autonomous laboratories, and efficiency-oriented algorithmic strategies are explored.
Xue-Yuan Bi, Yang-Yang Wang, Ji-Han Wang et al.
· Frontiers in Pharmacology · 0 citations