Man’s best friend may become cancer’s worst enemy.

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 can ...

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 ...

Scientists have identified a blood-based protein signature that can predict lung cancer risk more than five years before ...

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 ...

Researchers at the Francis Crick Institute and University College London (UCL), funded by Cancer Research UK and the European Research Council (ERC), have identified a 14-protein signature in the ...

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

The Institute of Electrical and Electronic Engineers, the world's largest nonprofit technical organization dedicated to the advancement of technology for the benefit of humanity, is keeping a sharp ...

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.

As we age, our cells acquire cancer-causing mutations, but mutations alone are rarely enough to start a tumor. An ...