Being able to follow a patient’s progression through a health system is an important factor for care in any nation, but it can be more difficult in developing countries that face greater technological and data-related challenges.
Kara Mason | 
June 05, 2023
Research Health equity Clinical Informatics Clinical decision support (CDS)
For years, David Albers, PhD, associate professor of biomedical informatics at University of Colorado School of Medicine, has been haunted by a friend’s death. It was long before Albers contemplated a career in health care, when he was an undergrad studying physics and taking music lessons in his spare time from accomplished jazz musician Tony Williams.
Toni Lapp | January 31, 2023
Nature
September 13, 2023
Transcriptome-wide association studies have helped uncover the role of individual genes in disease-relevant mechanisms, explain researchers from the CU Department of Biomedical Informatics. However, modern models of the architecture of complex traits predict that gene-gene interactions play a crucial role in disease origin and progression. Researchers introduce PhenoPLIER, a computational approach that maps gene-trait associations and pharmacological perturbation data into a common latent representation for a joint analysis and observe that diseases are significantly associated with gene modules expressed in relevant cell types, and our approach is accurate in predicting known drug-disease pairs and inferring mechanisms of action.
Health Day
August 25, 2023
After tracking calorie-control dieters and intermittent fasters for three months, both had improved microbiome diversity, said study author Maggie Stanislawski, an assistant professor in the CU Department of Biomedical Informatics.
9News
August 25, 2023
DBMI geneticist Joanne Cole, PhD, explains the role of genetics and other factors in food preference.
Nutrients
August 22, 2023
Researchers in the CU Department of Biomedical Informatics evaluate associations among gut microbiota (MB), DNA methylation (DNAme), and diet prior to and during a behavioral weight loss intervention.
