Rare diseases are often difficult to diagnose and predicting the best course of treatment can be challenging for clinicians. Investigators from the Mahmood Lab at Brigham and Women's Hospital, a founding member of the Mass ...
Oct 10, 2022
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Harvard Medical School scientists and colleagues at Stanford University have developed an artificial intelligence diagnostic tool that can detect diseases on chest X-rays directly from natural-language descriptions contained ...
Sep 15, 2022
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From 300,000 mouse neurons, scientists hope to glean how the brain drives behavior. A newly released publicly available dataset is the largest of its kind and represents billions of split-second electrical pulses that comprise ...
Aug 23, 2022
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New research by Georgia State University's TReNDS Center may lead to early diagnosis of devastating conditions such as Alzheimer's disease, schizophrenia and autism—in time to help prevent and more easily treat these disorders. ...
Jul 22, 2022
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A study published in The Lancet Digital Health has used health data from 57 million people in England to build the most complete picture of the pandemic in a single country to date.
Jun 8, 2022
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New software developed by Peter Mac and collaborators is helping patients diagnosed with acute lymphoblastic leukemia (ALL) to determine what subtype they have.
May 19, 2022
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A team of researchers from the Department of Veterans Affairs, Oak Ridge National Laboratory, Harvard's T.H. Chan School of Public Health, Harvard Medical School and Brigham and Women's Hospital has developed a novel, machine ...
Apr 28, 2022
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Premature babies who develop abnormalities like autism and cerebral palsy as teenagers have subtle differences in brain structure that can be detected on quantitative MRI (qMRI), according to a new study in the journal Radiology. ...
Apr 26, 2022
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The analysis of tissue samples for cancer diagnosis and treatment is still largely done under the light microscope. But researchers are now developing technologies to speed up and ultimately improve the accuracy of such diagnostics ...
Apr 21, 2022
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University of Alberta researchers have trained a machine learning model to identify people with post-traumatic stress disorder with 80 percent accuracy by analyzing text data. The model could one day serve as an accessible ...
Apr 7, 2022
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