AI/ML is ubiquitous across the pharma industry, at least as a label. Do all AI/ML activities actually represent artificial intelligence? We will first frame AI and ML separately, and describe why we might want one or the other. With a definition in place, we will highlgiht examples of ML/AI applications across the entire drug discovery & development pipeline and discuss opportunities as well as limitations when appling AI/ML methods to drug discovery problems.
Agenda
- The MedChem task & multimodal discovery
- Protein structure prediction
- Druggability assessment
- Virtual screening
- Actives assessment & hit expansion (Exploration)
- Lead Optimisation & ADMET approaches (Exploitation)
- Generative Design strategies
Speakers
- Rajarshi Guha, Senior Director, Data & Computational Sciences, Vertex
- Prof. Mike Bodkin, University of Dundee
For details of our full Pharma and Life Science AI/ML Training Program and how to register, please click here.