Avoid unnecessary tests and antibiotics by applying evidence-based, cost-conscious infectious-disease decision-making, with ...

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