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Radiologists review thousands of images a day. The hope is that artificial intelligence (AI) applications will become useful soon to verify diagnoses, prioritize queued images and even to offer a level of detection and measurement that aren't feasible for humans. One of the latest efforts on this front is by researchers at the University of California at San Francisco (UCSF) and the University of California at Berkeley.
A team at the Broad Institute of Harvard and MIT has developed a genome editing method that could, in principle, correct 90% of the roughly 75,000 currently known genomic changes that are associated with genetic diseases.
A team at the Broad Institute of Harvard and MIT has developed a genome editing method that could, in principle, correct 90% of the roughly 75,000 currently known genomic changes that are associated with genetic diseases.
Researchers at the Abramson Cancer Center at the University of Pennsylvania have developed an algorithm to better personalize immunotherapy treatment. The algorithm works by examining neoantigen quality, not just their quantity. Neoantigens are proteins that are the result of genetic mutations in a tumor.
Researchers at the Abramson Cancer Center at the University of Pennsylvania have developed an algorithm to better personalize immunotherapy treatment. The algorithm works by examining neoantigen quality, not just their quantity. Neoantigens are proteins that are the result of genetic mutations in a tumor.
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