Webinar Explores AI-Driven Intelligence Engine for Optimizing Antibody, ADC and Peptide Candidates
Drug discovery teams are grappling with an ever‑growing volume of data, and converting that data into actionable insight remains a key hurdle. In a recent BioSpace webinar, Patsnap’s Ben Coverdale hosted a discussion on how AI‑powered intelligence can help address this challenge.
The session featured Mark Davies, Patsnap’s Head of Product for Life Sciences, and James Longden, Senior Director of Life Sciences at Evolvus. Both speakers brought extensive experience in AI‑enabled drug discovery, with Davies having previously led informatics at BenevolentAI and co‑founded an AI co‑scientist startup.
The conversation focused on applying AI to candidate optimization across three major modalities: antibodies, antibody‑drug conjugates (ADCs) and peptides. The panel highlighted how advanced analytics can streamline target selection, improve design cycles and accelerate decision‑making in early‑stage R&D.
Attendees were invited to register for the on‑demand webinar to learn more about building an intelligence engine that can turn raw data into strategic insights for drug development teams.
This writeup was produced by pharmadog from original reporting by BioSpace.
Original headline: “Webinar: Building the Intelligence Engine for Drug Discovery R&D Teams”
read at BioSpace ↗
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