SMi's 2nd Annual AI in Drug Discovery Conference

Memo

Chaired by: Darren Green, Director of Molecular Design & Senior Fellow, GSK   Sponsored by: CAS & Dassault Systèmes Exploring the latest Innovations in Machine Learning for Enhancing Discovery Pipelines SMi is proud to present its 2nd Annual AI in Drug Discovery Conference, taking place on the 15-16 March 2021. With the global Artificial Intelligence (AI) in Drug Discovery Market size expected to exceed $3,900 million by 2027, the conference agenda will encompass key drivers leading the way into a shorter, cheaper, and more successful R&D era. The conference will be a particular focus on case studies from leading pharma and biotech, as well as a close-up view on the paradigm shift from undruggable targets to ‘challenging to drug’. Furthermore the event will focus on 4 key themes: machine learning and automation for improved drug discovery pipelines; effective prediction of compound properties; data robustness and curation; innovative use of AI for rare and undruggable diseases, and will highlight key case studies across these themes, uncovering key developments in pharma of data optimization and to aid therapeutic discovery. Real-world examples of AI in structure-based drug design and patient relevant data will be explored in eye-opening detail Event Hashtag: #SMiAIDrugDis