Navigating drug development with human multi-omics data and AI
Speaker interview
“We are moving toward a world where the odds in drug discovery can be flipped” →
Over 50% of drug programs fail due to lack of efficacy. Despite decades of research, the etiology and pathophysiology of most diseases are still poorly understood. However, there has never been a better time to fix this: biomedical data on human genetics, -omics, and clinical outcomes is becoming available for millions of real-world individuals.
Pheiron’s platform integrates data from the world’s largest human biobanks, and combines human genetics with multi-modal AI, to accurately resolve disease pathology, and identify causal links between mechanisms, pathology and patient populations. In this talk, Thore explains how Pheiron’s human-level insights help identifying targets and de-risk translation.
Speaker bio

