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 ...

The AI in cancer diagnostics market presents significant opportunities driven by advancements in AI and machine learning ...

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 ...

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 ...

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 ...

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

TrialTranslator uncovers the survival gap for high-risk patients and offers a path to better cancer research. Study: Evaluating generalizability of oncology trial results to real-world patients using ...