One Sample
A simple at-home finger-prick collected over 5 days. No clinic visits, no fasting, friction-free scaling.
We turn a single finger-prick into a continuously learning virtual twin. A dual-engine model: TwinMe monetizes non-medical wellness today, while BioTwin builds regulated clinical AI for cancer screening decision assistance and future disease detection pathways.
Standard lab panels quantify selected analytes. BioTwin maps 30,000+ biomarker-derived metabolic signals from a Bio-Signature sample using mass spectrometry, creating a high-dimensional dataset for proprietary AI. This is not equivalent to standard lab work.
A simple at-home finger-prick collected over 5 days. No clinic visits, no fasting, friction-free scaling.
High-resolution mass spectrometry captures a complete metabolic Bio-Signature, not just a targeted checklist.
Raw data is organized into actionable health programs: Healthspan and Longevity, Elite Health Optimization, and Weight Management.
A living mathematical model that learns retroactively. When our research team adds a new analysis, the twin updates without a new kit.
The data required to train clinical AI for complex diseases is vast and expensive to acquire. BioTwin solves this cold-start problem through a self-funding data flywheel.
TwinMe (Consumer): We deliver immediate value through 3 commercial wellness programmes (Longevity, Elite Optimization, Weight) generating immediate revenue.
BioTwin (Clinical): Every anonymized finger-prick continuously expands our multi-omics database, directly training our predictive models for oncology and chronic diseases.
"By mapping individual trajectories rather than population averages, we can detect minute biological deviations before they manifest as clinical symptoms."
Our virtual twin technology is already deployed in real-world clinical environments.
BioTwin's first clinical pilot delivers results today through partner physicians at Cleveland Clinic Abu Dhabi. The programme is under the regulatory framework of the United Arab Emirates.
Current screening: Breast cancer · Colorectal cancer
Performance: Current models demonstrate 0.78 sensitivity across 6 cancer types using multi-omics integration.
Beyond the UAE pilot, BioTwin runs active research programs globally, supported by over 50 published studies validating our biomarker Bio-Signatures.
These are scientific projects, and TwinMe kit data contributes directly to them.
Dassault Systemes
NVIDIA
Twin Health We are building the definitive biological dataset for preventive medicine. To access our data room, clinical results, or speak with leadership, reach out today.
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