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PULSE is an AI framework from Macau University of Science and Technology (MUST) that generates 251 metabolomic biomarkers from 61 routine blood values, which normally require expensive specialty tests. The work was published in Nature Computational Science on August 25. In studies, disease prediction models trained on data generated by PULSE achieved comparable accuracy to models trained on real, expensive laboratory data. No independent commercial product page with pricing, licensing model, or deployment options could be found; the project is primarily communicated as a scientific research framework of the university.

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Fonctionnalités

Use Case ScopeGenerates 251 metabolomic biomarkers from 61 routine blood markers for disease prediction in precision medicine
PlatformAI framework developed at Macau University of Science and Technology (MUST) for generating multi-omics profiles from routine clinical data
Release DateAugust 25, 2026 – published in Nature Computational Science

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