Gamow Labs
Gamow Labs provides an AI-native genomic interpretation agent that converts whole-genome sequence and clinical phenotype data into auditable, ACMG-style clinical reports. The platform automates variant weighting, evidence retrieval, and treatment-plan generation at machine scale, addressing the bottleneck where sequencing costs have plummeted but expert interpretation remains scarce. In a blinded validation study, it resolved 100% of known causal variants in 66 cases previously called non-diagnostic.
- Artificial Intelligence
- AI Agents
- Biotechnology
- Digital Health
- Healthcare Technology
- Software Only
Funding
Founders
Product
Problem
Genome sequencing has become inexpensive, yet interpreting results remains slow, expensive, and dependent on scarce specialist expertise. Most hard cases still rely on manual analysis by analysts, counselors, and physicians, leaving many patients without timely or actionable diagnoses.
Solution
Gamow Labs provides an AI-native genomic interpretation agent that ingests a patient's whole genome alongside structured or unstructured clinical phenotype dataheb. The agent weighs every variant against current evidence at machine scale)Skip, then returns an ACMG-style clinical report with a causative variant, confidence scores, auditable evidence, and a proposed treatment plan. It supports a living-diagnosis model in which past cases are automatically rechecked against fresh gene-disease literature, evolving patient symptoms, and updated variant annotations—without re-sequencing. The platform is designed to generalize beyond academic medical centers so that universal whole-genome sequencing can deliver clinical answers for broader patient populations.
Target Audience
Primary customers are clinical genomics laboratories, hospitals, and health systems offering whole-genome sequencing, particularly those in neonatal intensive care units and pediatric genetics programs seeking scalable diagnostic support without dedicated on-staff geneticists.
Features
- AI-driven variant interpretation that evaluates all genomic variants against current evidence at high throughput
- ACMG-style reporting with confidence levels, auditable reasoning chains, and treatment-plan suggestions
- Living-diagnosis engine that re-interprets stored cases when new gene-disease links or variant classifications are published
- Dynamic phenotype integration that re-ranks variants as a patient's clinical picture evolves
- Validated performance in a blinded study of 66 non-diagnostic cases, identifying molecular explanations for all known cases and solving two that had eluded human experts for years