Research Blood Child & Adolescent
Using data from studies published in the medical literature over a 40-year time span, Peter DeWitt, PhD, a University of Colorado School of Medicine data scientist in the Department of Biomedical Informatics (DBMI), has developed an automated algorithm to address gaps in children’s blood pressure percentiles, providing a way to directly compare blood pressure measurements for children of the same age, sex, and height.
Toni Lapp | 
December 12, 2022
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.
