Studying the DNA of Neanderthals and Denisovans, two archaic species that lived 100,000 to 30,000 years ago, is helping genomics researchers at the University of Colorado School of Medicine develop a deeper understanding of pharmacogenes, which can explain how and why modern humans process substances like food, pollutants, and medications.
At first glance, there don’t seem to be many similarities between humans and zebrafish, but the small freshwater minnows native to southeastern Asia have quickly become a favorite model organism in scientific research, allowing researchers to study human health, rare diseases, and treatment options.
Genes are at the center of nearly every human disease and symptom, and until the past few decades, medical researchers had a much narrower interpretation of the human body’s entire genetic makeup, also called the genome.
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
