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

Artificial intelligence has a critical role to play in supporting clinicians beyond the initial breast cancer diagnosis. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in ...

Photonic crystal sensor shows over 91% accuracy for cervical cancer screening, maintaining performance across varied ...