This summer marks the third graduating class of the Personalized and Genomic Medicine Graduate Certificate Program at the University of Colorado Anschutz Medical Campus and the largest yet with 19 students, nearly double the two previous classes.
This summer marks the third graduating class of the Personalized and Genomic Medicine Graduate Certificate Program at the University of Colorado Anschutz Medical Campus and the largest yet with 19 students, nearly double the two previous classes.
Research Education Awards Artificial Intelligence (AI)
Faculty members from the University of Colorado Department of Biomedical Informatics and Department of Medicine have received a $1.8 million, five-year grant from the National Heart, Lung, and Blood Institute (NHLBI) to offer summer institutes focused on the ethical use of artificial intelligence (AI) and machine learning in data sciences and omics of cardiovascular and lung diseases.
This year marked the one-year anniversary of the Department of Biomedical Informatics (DBMI) at the University of Colorado School of Medicine and along with that celebration came many more, ranging from crucial research to exciting new grant announcements.
As 2023 comes to an end, join the communications staff in revisiting some of the most important stories from the year and looking to what’s next for DBMI faculty and researchers.
When Shane Ridoux and Emily Aaron graduated from college with math degrees, neither had genomics as a future career option on their radar. Now, after two months into a new graduate degree program partnership between the University of Colorado Department of Biomedical Informatics (DBMI) and the CU Denver Department of Mathematical and Statistical Sciences, the two say they’re excited about joining the burgeoning field.
Research Press Releases Education Clinical Research CU Medicine Today
Connecting basic science and medicine with clinical and translational scientists, the University of Colorado School of Medicine is introducing the Department of Biomedical Informatics (DBMI) to enhance clinical care through integrated computational technology, laboratory investigations, and artificial intelligence (AI).
IEEE Xplore
July 10, 2024
In this manuscript we explore a computationally efficient approximation to hard data consistency. We present results when adding this data consistency layer into two existing networks designed for MRI reconstruction. After retraining with the additional consistency layer, the networks show improved out-of-distribution performance and suppression of hallucinations.
JAMIA
July 10, 2024
The publication of the Phoenix criteria for pediatric sepsis and septic shock initiates a new era in clinical care and research of pediatric sepsis. The phoenix R package and Python module enable researchers to apply the Phoenix criteria to electronic health records (EHR) datasets and derive the relevant indicators, total scores, and sub-scores.
JAMIA
July 10, 2024
The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven’s Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline.
SPIE
July 03, 2024
Nick Dwork, PhD, and co-authors present a method that combines compressed sensing with parallel imaging that takes advantage of the structure of the sparsifying transformation.
Kara Mason
