A new liquid biopsy approach developed by Johns Hopkins Kimmel Cancer Center investigators could revolutionize brain cancer detection by identifying circulating DNA fragments from tumors and immune ...
Perelman School of Medicine at the University of Pennsylvania is working with Intel to advance a new distributed machine learning technique – one that allows for researchers at disparate organizations ...
Morning Overview on MSN
AI predicts brain tumors before surgery with near-perfect accuracy
Artificial intelligence is moving from the lab bench into the operating room, promising to spot and classify brain tumors with a level of speed and precision that would have sounded like science ...
New artificial intelligence tool shows promise in accurately diagnosing brain tumors without surgery
Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...
Once trained, the AI was tested on new MRI scans it had never seen before. These included images showing strokes, brain ...
News-Medical.Net on MSN
Pathology AI models show demographic bias in cancer diagnosis
Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin ...
News-Medical.Net on MSN
New diagnostic chip enables rapid monitoring of brain cancer treatment
New diagnostic chip pulls packets released from tumor cells out of blood, showing whether cancer cells died during ...
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