- Researchers have developed a method using infrared light and machine learning to effectively screen human health on a population level.
- Infrared spectroscopy is a technique that analyzes molecular compositions by giving molecules a unique fingerprint using a specialized machine.
- Scientists from LMU and MPQ collaborated to measure blood plasma from thousands of individuals to pioneer infrared molecular fingerprinting for medical diagnostics.
- Using machine learning, the team correlated molecular fingerprints with medical data to detect various health conditions, including diabetes and blood pressure changes, in just one measurement.
- This new approach enables accurate identification of multiple health conditions simultaneously, paving the way for personalized health monitoring and earlier intervention for metabolic disorders like cholesterol abnormalities and diabetes.
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Dermatology, Radiology, Pathology & Lab Medicine, Pulmonary Medicine