Multicentric evaluation of an artificial intelligence model to stratify stage II colon cancer patients from whole slide images.
The researchers measured the variation in DNA methylation patterns to develop the method and applied it to multiple types of cancer.
Cancer is no longer seen as a single genetic error but as a complex, multi-layered disease shaped by DNA mutations, epigenetic changes and even patterns in medical images. New research at ...
Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...
The Primary Endpoint of Statistically Significant Combined Stage III-IV Reduction Was Not Met, However A Favorable Trend Was Observed Over Time GRAIL Announces U.S. Sales Force Expansion Based on ...
CCNSB researchers at IIIT Hyderabad focus on genomics, epigenetics and AI for cancer detection and treatment: Our Bureau, Bengaluru Monday, February 16, 2026, 15:50 Hrs [IST] Rese ...
The ‘MYCN’ gene creates a specific nook that turns healthy liver cells into cancer. Detecting MYCN gene early could help identify and reduce liver cancer risk.
News Medical on MSN
Machine learning model demonstrates insulin resistance as a risk factor for 12 types of cancer
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - is one of the fundamental causes of diabetes. In addition to diabetes, it is ...
Morning Overview on MSN
New blood markers may spot early-onset pancreatic cancer before symptoms hit
Pancreatic ductal adenocarcinoma is one of the most lethal cancers, in large part because it usually stays hidden until it has already spread. Survival curves change dramatically when tumors are ...
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