Envision a scenario where a single drop of blood provides comprehensive health insights within minutes. Thanks to recent scientific advancements, this vision is becoming a reality. Scientists of the BIRD team at the Ludwig-Maximilians-Universität München (LMU) and the Max Planck Institute of Quantum Optics (MPQ) in collaboration with Helmholtz Munich have developed a health screening tool that uses infrared light and machine learning to identify multiple health conditions from just one measurement.

This study lays the groundwork for infrared molecular fingerprinting to become a routine part of health screenings, enabling doctors to detect and manage conditions more efficiently. This is especially important for metabolic disorders like cholesterol abnormalities and diabetes, where timely and effective interventions can significantly improve health outcomes. The study was just published today in the renowned journal Cell Reports Medicine.

Illustration: Tarek Eissa

Original Publication:

Plasma infrared fingerprinting with machine learning enables single-measurement multi phenotype health screening

T. Eissa, C. Leonardo, K. Kepesidis, F. Fleischmann, B. Linkohr, D. Meyer, V. Zóka, M. Huber, L. Voronina, L. Richter, A. Peters, M. Žigman

Cell Reports Medicine 5, 101625 (2024)