A new machine learning model can classify lung cancer slides at the pathologist level

Machine learning has improved dramatically in recent years and shown great promise in the field of medical image analysis. A team of research specialists at Dartmouth’s Norris Cotton Cancer Center have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma, the most common form of the leading cause of cancer-related […]

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Machine learning IDs markers to help predict Alzheimer’s

Nearly 50 million people worldwide have Alzheimer’s disease or another form of dementia. These irreversible brain disorders slowly cause memory loss and destroy thinking skills, eventually to such an extent that self-care becomes very difficult or impossible. While no cure currently exists, certain medications can delay the progression of symptoms for several years, extending the quality of life for patients. […]

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Decoding the brain’s learning machine

In studies with monkeys, Johns Hopkins researchers report that they have uncovered significant new details about how the cerebellum—the “learning machine” of the mammalian brain—makes predictions and learns from its mistakes, helping us execute complex motor actions such as accurately shooting a basketball into a net or focusing your eyes on an object across the room. In a summary of […]

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Machine learning finds tumor gene variants and sensitivity to drugs in The Cancer Genome Atlas

Matching unique genetic information from cancer patients’ tumors with treatment options – an emerging area of precision medicine efforts – often fails to identify all patients who may respond to certain therapies. Other molecular information from patients may reveal these so-called “hidden responders,” according to a Penn Medicine study in Cell Reports this week. The findings are published alongside several […]

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