DNA

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 and DNA predict mental health issues years after trauma

AI and DNA predict mental health issues years after trauma

Source: Geralt/Pixabay The Center for Biomarker Research and Precision Medicine at Virginia Commonwealth University announced a new study published in Molecular Psychiatry that demonstrates how the combination of artificial intelligence (AI) and genomics can produce DNA biomarkers that predict problems mental health nearly 17 years after exposure to childhood trauma. Childhood trauma was assessed from …

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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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UTSW researchers use DNA analysis to diagnose heart disease subtypes

UTSW researchers use DNA analysis to diagnose heart disease subtypes

This computer-enhanced image shows interacting chromatin chains – the densely packed structure of DNA. New research from UTSW shows that a machine learning program can diagnose subtypes of heart disease by analyzing how DNA molecules inside heart cells are organized into chromatin. Credit: Horng Ou, Sebastien Phan, Mark Ellisman, Clodagh O’Shea, Salk Institute, La Jolla, …

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