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

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

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, ...

A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...

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 ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

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 field of cancer immunology has experienced remarkable advancements in diagnostic capabilities, largely due to the integration of multispectral and hyperspectral imaging technologies. These imaging ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...