The full agenda is available for download for the anticipated 4th Annual AI in Drug Discovery Conference

The full agenda is available for download for the anticipated 4th Annual AI in Drug Discovery Conference

SAE Media Group reports: Visit the website and view the full program and speaker lineup for the 2023 AI in Drug Discovery Conference

LONDON, United Kingdom, Dec. 20, 2022 / — SAE Media Group is proud to present the highly anticipated 4th Annual AI in Drug Discovery Conference, taking place March 13-14, 2023, in London, United Kingdom.

AI in drug discovery is leading the way into a shorter, cheaper and more successful R&D era where compound generation is automated, drug synthesis is predictable and immediate diseases are finally being targeted.

Delegates attending will have the opportunity to:
• Delve into key industry research foci, with lectures on fragment-based selection, in silico drug design and personalized medicine from GSK, Bayer, Janssen Pharmaceuticals and more
• Increase the diversity of your drug discovery program with case studies using knowledge graphs, molecular dynamics simulations and digital twins throughout the development process
• Leverage breakthroughs in robotics, automation, and quantum chemical methods together with AI to drive next-generation drug discovery

Find out more about the conference by visiting the website at:

Featured 2023 speakers include:
• Alexander Hillisch, Vice President, Head of Computational Molecular Design, Bayer
• Jag Heer, Director of Medicinal Chemistry, UCB
• Matthias Frech, Director, Merck
• Thierry Dorval, head of data science and data management, Servier
• Paul Beroza, Senior Scientist Computational Drug Discovery, Genentech
• Haruna Iwaoka, Senior Director, Astellas Pharma
• Jan Wenzel, Scientist Computational and Systems Toxicology, Sanofi

SAE Media Group proudly presents Darren Green, Head of Cheminformatics & Data Science, Senior Fellow from GSK, on ​​day 1 of the conference on using AI/ML in the drug discovery processes from hypothesis testing to preclinical screening:
• Overcoming the challenges currently facing pharmaceutical R&D programs with data science and AI
• Possibilities for data analysis and predictive modeling in drug discovery
• Profitable applications for translating AI/ML from the laboratory to the clinic
• Open data sharing? – The importance of long-term planning

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SAE Media Group will also be joined by Andreas Bender, consultant from HealX, who will speak on DAY 2 of the conference on The Current State of Play For Data And AI In Drug Discovery:
• Assess current issues in the field and what is needed to overcome them
• The importance of open data sharing including failed results
• Case studies from the current use of artificial intelligence for drug discovery
• Improving AI in Drug Discovery and how to move forward

Visit the website at to see the full selection of speakers and presentations

For sponsorship enquiries, please contact Andrew Gibbons on +44 (0) 20 7827 6156 or [email protected]

For delegate enquiries, please contact Sarah Nobrega on +44 (0) 20 7827 6021 or
[email protected]

Fourth Annual AI in Drug Discovery Conference
13 – 14 March 2023
London, United Kingdom


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About SAE Media Group conferences:
SAE Media Group Conferences connect global communities with focused networking conferences. We provide our clients with solutions through industry knowledge and collaboration that enable our participants to return to their organizations better equipped to overcome their most important business challenges. Our key events focus on defense and aerospace, pharmaceutical and medical. Every year we gather over 5,000 senior business people at our conferences.
SAE Media Group (SMG), a subsidiary of SAE International, reports the latest technological breakthroughs and design innovations to a global audience of nearly 1,000,000 engineers, scientists and business leaders. SMG provides important information these professionals need to develop new and improved products and services.

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Hannah Blake
SAE Media Group
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