Session: Data-driven approaches, and ML/AI for pharmaceutical applications

This session track seeks submission on computational and modeling methodologies applied to support the discovery, development and manufacturing of small molecule and biologic drug substances and drug products. Applications can range from process modeling and optimization to properties prediction, solid state understanding, tools to support multistep organic synthesis, retrosynthesis, artificial intelligence and data science. Accepted submission to this track will be organized into session topics after the call for abstracts has closed.