Announcements
Sarah Monsell, a biostatistician at the Center for Biomedical Statistics in the Department of Biostatistics at the University of Washington, explains the statistical methods used in a recent liver disease study, describes their application to the study of liver MRI PDFF, and discusses the generalizability of the results of the study.
COVID-19 can affect various organs in the body, such as the brain, lungs, heart, and kidneys. But what happens to these organs after the infection is over? How long does it take for them to heal? A new study has tried to answer these questions by using MRI scans to look at multiple organs of people hospitalized with COVID-19. UW Professor of Biostatistics and Statistics Daniela Witten comments on the study.
Investigators commonly find mixtures of DNA in a single forensic sample that contain various unequal contributions, like the DNA samples that could come from multiple people using one knife. Now, the development of technologies can reveal and identify smaller, previously undetectable amounts of DNA samples within the mixture, which enables more specific DNA identification. Faculty member Bruce Weir is interviewed.
Models for suicide preventions that are easier to explain and use could have better uptake in health care settings. UW Biostatistics Affiliate Faculty Susan Shortreed was lead author on this recent study which compares the performance of 5 different models developed to identify a patient's risk of suicidal behavior.
Mosaic and consensus HIV-1 immunogen vaccines were tested in a clinical trial led by a team of researchers including Drs. Kristen Cohen, Andrew Fiore-Gartland, Peter Gilbert and M. Juliana McElrath from the Fred Hutchinson Cancer Center Vaccine and Infectious Disease Division. Their findings were published recently in the Journal of Clinical Investigation.
Ali Shojaie will be a member of new multidisciplinary, multi-institutional team that recently received a five-year, $4.2 million grant from the National Institutes of Health to develop neural stimulation techniques guided by artificial intelligence (AI) machine learning methods.