Machine learning tool distinguishes signs of life from non-living compounds in space samples
Los Angeles CA (SPX) Nov 19, 2025
Researchers developed LifeTracer, a machine learning framework, to analyze mass spectrometry data from space and terrestrial samples. They used advanced two-dimensional gas chromatography and high-resolution time-of-flight mass spectrometry to study eight carbonaceous meteorites and ten terrestrial rock samples. LifeTracer applies logistic regression to compound-level features and achieved 87 pe
Published by SpaceDaily on 11/19/2025
