BioTwin
Québec City company building human virtual twins from dried-blood-spot metabolomics, applying machine learning to LC-MS data to derive individual Bio-Signatures for wellness programs and clinical cancer-screening decision support.

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About
Company site: biotwin.aiQuébec City company building human virtual twins from dried-blood-spot metabolomics, applying machine learning to LC-MS data to derive individual Bio-Signatures for wellness programs and clinical cancer-screening decision support.
Its peer-reviewed paper states 'a machine learning approach was employed for further analysis and refinement of prediction models', reporting 80% accuracy at 5 samples and 92% at 10. doi.org
Its science page cites a peer-reviewed study of 1,257 participants, 18,288 samples and 134 analytical batches identifying individuals from their metabolic profiles with 94% user-level accuracy. biotwin.ai
States that 'advanced analytics connect related signals into proprietary Bio-Signatures', built from untargeted metabolomics and mass spectrometry of dried blood spot samples. biotwin.ai
Named in ALL IN's 2026 list of Canada's Top 100 AI startups. allinevent.ai
Technology Focus
Company site: biotwin.aiTerms the company uses about its own work.
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