Day Three - 08 July 2021

9:00 am - 9:45 am EST Practical Applications of Deep Learning to Enabled Decision Making for Small Molecule Drug Discovery Data - Session Reserved for Sai Life Sciences

Small molecule drug discovery is the iterative process of identifying starting compounds and improving them through multi-parameter optimization (MPO). This session will address:

·       How can we improve upon the current approach?

·       How can we balance this approach mostly driven by human experts with some assistance from computational approaches? 

·       How to gain more value from compound data, filling gaps and identifying complex relationships

10:00 am - 10:45 am EST FIRESIDE CHAT: Applications of AI in the Discovery of Targets

Paul Nioi - Vice President, Discovery and Translational Research, Alnylam Pharmaceuticals

At Alnylam Pharma we have been working in partnership with the UK Biobank to assess genetic and phenotypic data, biomarker data, MRI scans and medical imaging to understand which genes to go after for a particular disease. We have specific use cases and lessons learned and this fireside chat will discuss:

 

·       Repurposing technology to train neural network models

·       How to ascertain which genes to go after when scanning data?

·       How can we link this to genetic data?

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Paul Nioi

Vice President, Discovery and Translational Research
Alnylam Pharmaceuticals

11:00 am - 11:45 am EST JOINT CASE STUDY: Patent Scope Visualization - A Patent Mining and Visualization Platform for Antibody Claims

Peter Henstock - Machine Learning & AI Technical Lead, Pfizer

This session will address:

·       Importance of patents for scientific and legal teams

·       Overview on extracting key epitope data from antibody patents

·       Novel visualization showing the claimed epitopes in context

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Peter Henstock

Machine Learning & AI Technical Lead
Pfizer