SMi is proud to announce the 2nd annual AI in Drug Discovery virtual conference taking place on 15th and 16th March 2021

With the global Artificial Intelligence (AI) in Drug Discovery Market size expected to exceed $3,900 million by 2027, this year’s agenda will encompass key drivers leading the way into a shorter, cheaper, and more successful R&D era. The conference will cover hot topics including; machine learning techniques for improving early drug discovery, effective prediction of ADMET properties, data quality, and innovative applications of AI for undruggable targets.

This year’s 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. The agenda 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.
 

This two-day agenda offers you peer-to-peer networking with industry experts including directors and heads of informatics, data & AI, molecular design, and computational chemistry, to explore the latest developments in the industry, regulatory updates, and case studies from leading pharmaceutical and biotechnology companies.