Genomics &
Precision Medicine
AI systems read massive sets of DNA data to spot disease traits and match treatments to unique patient genes — making personalized medicine a clinical reality, not a distant promise.
3 Billion Base Pairs. One AI Solution.
The human genome contains more than 3 billion base pairs, and no two people share the same sequence. Understanding how that variation drives disease — and how to exploit it therapeutically — requires the ability to read, compare, and interpret genomic data across populations of thousands or millions of individuals.
AI is the only tool capable of operating at that scale. Our genomics programs combine whole-genome sequencing data, epigenetic profiling, transcriptomics, and clinical outcome records to build models that predict disease risk, identify novel targets, and guide precision treatment selection.
AI models scan across thousands of genomes simultaneously to identify rare and common variants associated with disease — surfacing signals that traditional GWAS approaches miss.
Deep learning polygenic risk models aggregate thousands of small-effect variants into clinically actionable scores for cardiovascular disease, cancer susceptibility, and metabolic disorders.
By linking genomic profiles to treatment response data, our models recommend therapies matched to a patient's specific molecular biology — reducing ineffective prescriptions and adverse events.