A virtual twin is a comprehensive digital representation of an individual's health, integrating biomarkers, genetic data, lifestyle factors, and medical history. It supports research and clinical teams in exploring risk signals and longitudinal trajectories to inform future decision-support tools.

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.

BioTwin is currently in research and validation phase through structured clinical studies with leading partners. The platform is not yet a clinically validated medical solution. Our models are being validated in clinical pilots with leading healthcare institutions, and we publish our methodology and results in peer-reviewed journals while maintaining 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.