AI-powered target identification and drug positioning
We combine cutting-edge machine learning and biology to advance drug discovery
What we do
We develop state-of-the-art, AI-based computational technologies from rich, multimodal patient data to discover new treatments
Challenges
We need better drugs, better targets, and better clinical trials
Challenge 1
Targets don’t convert to drugs
- Patient data is underutilized
- Pre-clinical models lack translatability to human biology
- Disease heterogeneity is not captured
Challenge 2
Drug responses vary between patients
- Lack understanding of tumor microenvironment
- Lack understanding of drug mechanism of action
- Incomplete knowledge of clinical heterogeneity