As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

A new generation of aging tests is moving out of specialist labs and into everyday life, promising to tell you how old your ...

Biotechnology is changing fast, and it feels like every week there’s something new popping up. It’s not just about new ...

Researchers have developed an AI-based tool that accelerates the detection of kidney cancer. Its effectiveness was validated ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

The ability of Raman spectroscopy to identify molecular-level spectral fingerprints has made it an attractive route to diagnostic information and identification of early-stage tumors, especially in ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

WINSTON-SALEM, N.C. — Researchers at Wake Forest University School of Medicine are developing a new at-home device they hope will help people identify potential skin cancer risks earlier and encourage ...