With no cure or widely successful therapeutic options for patients with rheumatoid arthritis (RA), Fan Zhang, PhD, is looking to computational machine learning to identify new target treatments.
Research Rheumatoid Arthritis Data analysis
With no cure or widely successful therapeutic options for patients with rheumatoid arthritis (RA), Fan Zhang, PhD, is looking to computational machine learning to identify new target treatments.
The 2024 recipients: Muyinatu A. Lediju Bell, a biomedical engineer at Johns Hopkins University; Katrina G. Claw, a genetic scientist at the University of Colorado School of Medicine's Department of Biomedical Informatics; and Rebecca Kramer-Bottiglio, an engineer working in robotics at Yale University, were recognized for their innovative approaches and leadership in their respective fields and for pushing the boundaries of science in truly novel ways.
Through an R21 grant from the National Institutes of Health, Nikita Pozdeyev, MD, assistant professor of biomedical informatics, Chris Gignoux, PhD, professor of biomedical informatics, and Bryan Haugen, MD, professor of medicine and head of the Division of Endocrinology, Metabolism, and Diabetes, will study new strategies that could pave the way for personalized management of thyroid nodules, inform future mechanistic studies of thyroid cancer, and lead to a clinical trial of an ultrasound and genetic thyroid nodule classifier.
In this World Shared Practice Forum Podcast, authors of the newly released publication, International Consensus Criteria for Pediatric Sepsis and Septic Shock, review their research and findings for treating and caring for children with sepsis and septic shock. The group, including DBMI professor Tell Bennett, MD, discuss how using the novel Phoenix Sepsis Score guided the development of this new globally applicable research model.
In the world of pet care, DNA tests are increasingly used to trace our pets’ ancestry. However, a University of Colorado study led by DBMI founding chair Casey Greene, PhD, and Halie Rando, PhD, has revealed significant inaccuracies in canine DNA testing. This raises concerns among dog owners about the reliability of these tests.
© 2024 The Regents of the University of Colorado, a body corporate. All rights reserved.
Accredited by the Higher Learning Commission. All trademarks are registered property of the University. Used by permission only.