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, ...

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

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 ...

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 ...

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

Tides have changed with the Gemini 3 update, bringing Nano Banana Pro image generation to a wider range of users. The images are so realistic that Google provides an extension that detects images with ...