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

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects early-stage pancreatic cancer with near-perfect accuracy in validation ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...

Researchers have developed an electronic nose that can “smell” early signs of ovarian cancer in the blood. The method is precise and could eventually be used to find many different cancers.

As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, ...

Long-Term Survival and Biomarker Analysis Evaluating Neoadjuvant Plus Adjuvant Relatlimab (anti-LAG3) and Nivolumab (anti-PD1) in Patients With Resectable Melanoma Our study included a broad cohort of ...

Khaberni - Early cancer detection technologies are undergoing a radical transformation with the emergence of multicancer blood tests (MCED), which rely on the analysis of free DNA ...

The cancer diagnostics industry is evolving rapidly as advances in biotechnology, data analytics and precision medicine ...