Finding hidden treasure - how AI/ML can harness existing data to accelerate drug discovery

Applying digital technologies in R&D is estimated to represent a $100 billion opportunity. Much of this can be achieved by unlocking the huge amount of information already deposited in the disparate stages of drug discovery and development pipelines. Successfully coupling this with the large repositories of public and clinical data would go a long way to helping scientists currently struggling to filter and make sense of often conflicting signals in the context of their program. This session will reveal the new tools and methods that can distill insights from these diverse data silos to provide scientists with novel and actionable insights to drive their science forwards.