Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer ...

Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations, but it has been difficult to discern whether they play an active role in ...

A total of 590 patients were identified, 432 in the development set and 158 in the validation set. The median age was 51 years, and 55.8% (329 of 590) experienced grade 3 or 4 toxicity. The ...

COLUMBUS, Ohio – Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with ...

The studies, funded by the National Cancer Institute, focus on bladder cancer and basal-like breast cancer, a very aggressive kind of breast cancer. “The strength and innovation of the projects are ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

Hyderabad: Cancer research is currently undergoing a massive paradigm shift. Once thought to be triggered by a single genetic ...

Bioinformaticians have been utilizing machine learning for years. However, the introduction of powerful and easily accessible generative AI tools is a new horizon. Learning how to use these tools to ...