A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

An analysis of 1,000 profiles shows that most of the images follow very similar patterns, blending individual preferences and social conventions. Age ...