A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...

With advances in machine learning, researchers are using neural networks to predict cancer risks and guide personalized treatments. By processing immense datasets, AI helps identify factors ...

It is a useful therapy with several drawbacks that limit its effectiveness, including prolonged light sensitivity, poor ...

Machine learning and ... knowledge will eventually help improve treatments for patients with colorectal cancer. "In our study, we used advanced machine learning and artificial intelligence ...

Machine learning tools can improve personalised prognostication of aggressive skin cancers such as Merkel cell carcinoma, a ...

The World Health Organization reports a steady increase in cancer patients worldwide ... proposed a graph machine learning model, namely TREE, based on the Transformer framework.

Health Secretary Wes Streeting, who survived kidney cancer in 2021, is launching an NHS-wide breast cancer trial using ...

Discover how AI is transforming urological cancer care with improved diagnosis, personalized treatments, and enhanced patient ...

Machine learning ... with lung cancer. This approach provides a cost-effective alternative to genomic testing, generates spatial mutation maps and might support personalized treatment strategies.

And according to Durham Faivre, Hug researchers are currently in discussions with commercial partners to develop an X-ray Flash machine ... treatments available to cancer patients (Credit: Getty ...