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By Kevin McClanahan
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.
Dr. Bruce Ovbiagele, associate dean and professor of neurology at the University of California, San Francisco (UCSF), has been honored with the prestigious W. Lester Henry Award for Diversity, Equity, and Inclusion by the American College of Physicians. This esteemed accolade is a testament to Dr.
by Christine Wei-li Lee | clee@seas.ucla.edu
Elizabeth Kivowitz | ekivowitz@stratcomm.ucla.edu | UCLA Newsroom
UCLA has received a $4.6 million grant from The Warren Alpert Foundation to establish th
More than four years after the world first learned about COVID that led to an unprecedented global health crisis in modern history and upended life as we knew it, UCLA researchers behind the SwabSeq COVID-19 PCR test came together November 13 in honor of SwabSeq’s third anniversary and its milestone of reaching 2 million processed tests.
Biobanks that collect deep phenotypic and genomic data across many individuals have emerged as a key resource in human genetics. However, phenotypes in biobanks are often missing across many individuals, limiting their utility. We propose AutoComplete, a deep learning-based imputation method to impute or ‘fill-in’ missing phenotypes in population-scale biobank datasets.
Three PhD students supported by the Biomedical Data Science for Precision Health Equity training program, along with PI Professor Bogdan Pasaniuc (Computational Medicine) and Professor Alex Bui (Radiological Sciences, Bioengineering), attended the NLM T15 Training Conference, held at S
A new study of UCLA Health’s large genetic biobank is giving researchers new insights into the disease risks faced by the region’s diverse communities and their access to health care.