cancer

Using AI During Colonoscopy Increases Polyp Detection Rates and Reduces Costs

Using AI During Colonoscopy Increases Polyp Detection Rates and Reduces Costs

A polyp is a small growth of tissue in the colon that can develop into colorectal cancer. Patients with polyps have a higher risk of developing cancer in the future. – Using artificial intelligence (AI) during colonoscopy, endoscopic examination with a camera, may be helpful in detecting precancerous polyps, says Yuichi Mori, physician and associate …

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New machine learning tool discovers mutational signature that links bladder cancer to smoking

New machine learning tool discovers mutational signature that links bladder cancer to smoking

Researchers from the University of California, San Diego have for the first time discovered a pattern of DNA mutations that links bladder cancer to smoking. The discovery was made possible by a powerful new machine learning tool the team developed to find patterns of mutations caused by carcinogens and other DNA-altering processes. The book, published …

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AI-guided tools identify immune cell driver and protective genetic factor in esophageal cancer

AI-guided tools identify immune cell driver and protective genetic factor in esophageal cancer

Esophageal adenocarcinoma (EAC) is a type of cancer affecting the mucus-secreting glands of the lower esophagus -; the tube connecting the throat to the stomach. It is the most common form of esophageal cancer and often preceded by Barrett’s metaplasia (BE), a deleterious change in the cells lining the esophagus. Although the cause of EAC …

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Artificial intelligence helps UH doctors better detect colon cancer

CLEVELAND, Ohio — A colonoscopy is the best way to detect colon and rectal cancers, and usually a doctor uses their experience to recognize areas of concern and send tissue samples for testing. However, doctors at University Hospitals are getting help – from a computer designed to look at images of the colon and detect …

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