Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity – the financial stress and hardship that ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

KYOTO--Researchers here say they developed a highly accurate method to detect early signs of pancreatic cancer using ...

A new research published in the Journal of the American Medical Association revealed that a machine learning model which ...

What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...

Bottom line: A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), ...

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.

Colonoscopy quality indicators for colorectal cancer precursors: Sessile serrated lesion and adenoma detection rates from a large clinical study of a blood-based test for CRC screening. This is an ...

An AI-assisted drug discovery platform using transfer learning has identified a promising gp130 inhibitor for colorectal ...

The evidence isn't there yet for routine use, but Michael Leapman, MD, urologic oncologist and associate professor of oncology at Yale School of Medicine, discusses what the future may hold for ...