A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...

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

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Imagine a screening method that’s more accurate in early detection than a mammogram and less expensive than an MRI. That’s ...

Researchers created an AI-driven liquid biopsy that scans patterns in fragments of DNA circulating in the blood. The system detected early liver fibrosis and cirrhosis—conditions that often go ...

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test using genome-wide cell-free DNA (cfDNA) fragmentation patterns and repeat ...

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological ...

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...

The cancer diagnostics industry is evolving rapidly as advances in biotechnology, data analytics and precision medicine continue to reshape how diseases are detected and managed. Within this ...

PanMETAI combines AI and NMR metabolomics to detect early-stage pancreatic cancer from a blood sample, achieving 93 percent ...