Nobel prize-winning technology meets AI
Blood contains a biochemical record of an individual's health state, which can be measured using infrared spectroscopy. We use AI to turn IR fingerprints into actionable clinical intelligence, from disease prediction to individualized treatment.
Explore our technologyField-Resolved Infrared Spectroscopy compresses thousands of molecular signals into a single IR fingerprint, preserving highly detailed information about individuals' health states. For this cutting-edge technology, Prof. Ferenc Krausz received the Nobel prize in physics in 2023. Our AI interprets these fingerprints, delivering clinical insights faster and at a fraction of the cost of traditional multi-omics panels.
Blood is a complex mixture of interacting biomolecules that encodes a vast amount of information about an individual's health state. Yet most diagnostics still rely on a handful of isolated biomarkers measured against population-level reference ranges, missing the holistic biochemical picture entirely.
42omics builds the AI infrastructure that interprets IR blood fingerprints, produced by Nobel Prize-winning field-resolved infrared spectroscopy, to deliver validated IVD algorithms, rare disease biomarkers, and drug response predictions.
Our approach shifts the paradigm from disease diagnostics to disease prediction, disrupting the health industry by identifying diseases even before symptom onset.
Models trained on longitudinal fingerprints learn the boundaries of health, enabling rare disease diagnosis without overfitting to isolated biomarkers.
Patient fingerprints encode holistic biochemical state beyond genomics, enabling personalized predictions of drug response and side effects.
Field-resolved infrared spectroscopy compresses thousands of molecular signals into a single low-dimensional representation. One blood measurement simultaneously encodes information equivalent to proteomics, metabolomics, and lipid panels, without running any of them separately. That compression is what makes our approach scalable and cost-effective.
A single fingerprint is a snapshot; a series of fingerprints is a trajectory. Disease onset does not happen in one measurement, it unfolds over months and years as subtle biochemical drifts that population-level thresholds cannot detect. We build models that understand how a patient's fingerprint changes, catching transitions to disease before they become diagnoses.
We're building a small, exceptional team to push the boundaries of data-driven healthcare. If you care deeply about biology, data, and impact, we'd like to hear from you.