FINE Review: AI for Science Research Progress and Applications
Date:
Comprehensive review presentation on AI for Science research progress, covering interdisciplinary applications of deep learning in biology, medicine, and physical sciences. Highlighted achievements in protein structure prediction, drug discovery, molecular dynamics simulation, and single-cell analysis. Discussed the integration of foundation models, geometric deep learning, and physics-informed neural networks for advancing scientific discovery. Presented future directions including AI-driven virtual cell construction and multi-omics data integration.