Machine Learning in Drug Discovery Symposium 2025: Lightning Talks

F.A.D.E. (Fully Agentic Drug Engine): A Conversational AI Platform for Drug Discovery
Xue Zong
Georgia Institute of Technology 

PostaNet: Ai-based Framework for Protein Stability Prediction with Experimental Validation
Tianjian Liang
University of Pittsburgh 

Genomic Language Models Decipher the Regulatory Code of Splicing for Drug Sensitivity
Xueyang He
University of Rochester 

ATLAS Breaks Data Scaling Barriers for MachineLearning via High-Throughput Synthesis and Screening
Imran Haque
Kimia Therapeutics

 

Learn more about the Machine Learning in Drug Discovery Symposium.

Machine Learning in Drug Discovery Symposium