Data Tech 2026

We will trace the lifecycle of a pre-clinical R&D drug discovery and the areas where AI has accelerated development as well as areas where AI is causing problems. It's never been easier to generate hypotheses, but validating them in lab is still a bottleneck. How does the industry handle a tsunami of AI generated structures?

We'll discuss things like pharmacophore development, structure-activity-relationships, assay design, ADMET, all the way up to IND filings.

This talk will be technical, but assumes no prior knowledge of the drug discovery process or the models used.