Efficacy prediction for drug
discovery & development
Causal modeling is a proven method to predict success in clinical trials. It rests upon the same theoretical framework as the Randomized Controlled Trial (RTC). Over 40,000 peer-reviewed publications demonstrate the importance of this methodology in contemporary scientific research.
Our proprietary causal genome dataset maps every locus on the genome to its downstream effects on biomarker levels and disease risk.
Our causal models based on large-scale human genetic data have led to successful series A and B funding rounds for our biopharma partners where pre-clinical and animal data failed to move the needle.
We have enabled our strategic partner, CRO Simbec-Orion, to close several deals for clinical trials.
Most recently we have used our technology and data for drug and target discovery. We have out-licensed six drug assets.