Deep learning improves interpretation of tumors
NIBIB-funded engineers are using deep learning to differentiate tumors more accurately from normal tissue in positron emission tomography (PET) images.
Read moreNIBIB-funded engineers are using deep learning to differentiate tumors more accurately from normal tissue in positron emission tomography (PET) images.
Read moreMen with high-risk prostate cancer with at least one additional aggressive feature have the best outcomes when treated with multiple
Read moreUC San Francisco researchers have found a way to double doctors’ accuracy in detecting the vast majority of complex fetal
Read moreA natural compound previously demonstrated to counteract aspects of aging and improve metabolic health in mice has clinically relevant effects
Read moreAssisted living communities can improve the quality of life for residents with dementia by approaching them as individuals and attempting
Read moreAlthough tuberculosis, or TB, killed nearly as many people as COVID-19 (approx. 1.8 million) in 2020, it did not receive
Read moreThe fit of your mask matters a lot for protection against the novel coronavirus, according to a new study from
Read moreHybrid closed-loop insulin therapy improved glycemic control in adolescents and young adults with type 1 diabetes. These outcomes, derived from
Read moreAn international study coordinated by the Research Group for Urban Nature and Biosystems Engineering (NATURIB) from the University of Seville’s
Read moreMultiple sclerosis, an autoimmune disease of the central nervous system that affects millions worldwide, can cause debilitating symptoms for those
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