Children’s Hospital of Pennsylvania (CHOP) and Gustave Roussy, a cancer research organization based in France, have received a $1.3 million grant from neuroblastoma clinical research charities to...
Predictive analytics tools could help providers identify infants at risk of developing neonatal abstinence syndrome (NAS) after being exposed to opioids during pregnancy, potentially reducing hospital...
The University of Chicago Pediatric Cancer Data Commons (PCDC) is participating in new collaborative effort to leverage big data to advance pediatric cancer precision medicine.
The global initiative,...
By combining EHR data and genomic information, researchers were able to identify gene-specific signatures in childhood epilepsies, according to a study published in Genetics in Medicine.
The...
Researchers have created an early warning system that uses machine learning to predict necrotizing enterocolitis (NEC), a life-threatening intestinal disease that affects premature infants.
NEC...
NIH is funding a project that will use artificial intelligence to identify children at risk of Multisystem Inflammatory Syndrome in Children (MIS-C), an illness believed to be a severe complication of...
An analysis of COVID-19 data showed that infection rates are higher among minority and socioeconomically disadvantaged children, indicating that racial and ethnic disparities persist even in pediatric...
Artificial intelligence tools have played a pivotal role in the COVID-19 pandemic thus far, helping researchers and healthcare organizations identify hot spots, prepare for potential resource gaps, and...
Researchers at Vanderbilt’s Data Science Institute are developing a model that will use big data to address the impact of COVID-19 on policies, procedures, and resources now and in the...
In medicine, risk scoring is one of the best methods providers can use to anticipate and prepare for an adverse event. Using patient data and analytics tools, clinicians can determine the likelihood...
Black and Hispanic pediatric patients fared worse than non-Hispanic white patients during brain cancer treatment and follow-up, indicating that racial disparities have a significant impact on...
Scientists at St. Jude’s Children’s Research Hospital used a novel whole genome sequencing method to identify a gene associated with chemotherapy resistance in children with leukemia.
The...
Researchers from Nemours Children’s Health System have identified new genetic structural variants that could help deliver more personalized care and precision medicine to patients with...
Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a new algorithm that can track the epidemiology of sepsis among pediatric patients, allowing for more accurate data...
Researchers from Penn Medicine leveraged machine learning techniques to identify the size and shape of brain networks in children, which could lead to improved understanding and more personalized...
Shriners Hospitals for Children is collaborating with The Jackson Laboratory (JAX) to leverage genomics and develop new treatments for pediatric patients with orthopedic conditions.
Individual...
Payers and providers need to understand the risk of their unique patient population to allocate financial and clinical resources. But an accurate risk score is contingent on holistic patient...
A review of clinical tests from three major US laboratories showed that whole genome sequencing tests routinely fail to adequately analyze more than a quarter of genes, which may prevent providers from...
Children enrolled in Medicaid who are exposed to a population health management program could experience 50 fewer hospital admissions each month and 3,600 fewer bed-days in a year, according to a study...
Intermountain Primary Children’s Hospital, University of Utah Health, and Intermountain Precision Genomics are launching the Primary Children’s Center for Personalized Medicine to deliver...
