The digital transformation of pathology is opening up new possibilities for cancer diagnosis. Today's artificial intelligence ...
Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with PI3K-targeted therapies.
While cancer imaging AI is advancing, it still requires validation, infrastructure, and industry support for wider clinical ...
Optellum, a 2016 spinout from the University of Oxford, has been tapped by the U.K.’s National Health Service (NHS) to use its artificial-intelligence-powered lung cancer diagnostic as part of an ...
Researchers unveiled two major AI advances: a brain-inspired training method that improves confidence accuracy in predictions ...
The FDA has approved Avatar Medical’s software that converts CT and MR scans into interactive 3D anatomical models for surgical and VR use. Researchers also introduced REDMOD, an AI system that can ...
In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk. The model, called ...
Researchers at Fred Hutch Cancer Center are testing whether a collaborative AI research platform can accelerate the pace of cancer research leading to faster diagnoses and more precise, targeted ...
Prognostic Significance of Isolated Tumor Cells and the Role of Immunohistochemistry in Nodal Evaluation in Breast Cancer: A SEER-Based Analysis and Reappraisal We used Monte Carlo simulation methods ...
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