Pediatric Cell Atlas Will Map Single-cell Changes for a Deeper View of Child Health and Disease
"Ultimately, researchers would leverage knowledge from single-cell data into a deeper understanding of organ development and function, to better inform precision treatments to advance children’s health,” Deanne Taylor, PhD, DBHi Director of Bioinformatics "
Greater Access, Greater Information, Greater Responsibility: DBHi's Dianna Reuter
"We want to enable science to unfold as easily and effortlessly as possible, yet at the same time, be good stewards of patients’ data."
Researchers Use Data Tools to Rapidly Detect Sepsis in Sick Newborns
Automated programs can identify which sick infants in a neonatal intensive care unit (NICU) have sepsis hours before clinicians recognize the life-threatening condition. A team of data researchers and physician-scientists tested machine-learning models in a NICU population, drawing only on routinely collected data available in electronic health records (EHRs).
