A virtual twin is a comprehensive digital representation of an individual's health, integrating biomarkers, genetic data, lifestyle factors, and medical history. It enables healthcare providers to simulate interventions and predict outcomes before making treatment decisions.

Traditional analytics rely on population averages and retrospective data. BioTwin creates personalized, dynamic models that predict individual responses to interventions, enabling truly precision medicine at scale.

We integrate biomarker panels (metabolites, lipids, proteins), genetic data, wearable/device data, electronic health records, patient-reported outcomes, and lifestyle factors to create comprehensive health profiles.

BioTwin is built with privacy-by-design principles. We use end-to-end encryption, maintain SOC 2 Type II compliance, and follow HIPAA requirements. Data governance agreements ensure patient data is protected.

Our models have been validated in multiple clinical pilots with leading healthcare institutions. We publish our methodology and results in peer-reviewed journals and maintain rigorous scientific standards.

We work with healthcare providers, life sciences companies, payers, and research institutions. Contact our partnerships team to discuss your specific use case and how we can help.