A precision medicine therapy developed by researchers at UCLA and Great Ormond Street Hospital (GOSH) in London restored immune function in more than 95 percent of pediatric patients.
Using the...
Many cardiomyopathies in children are the result of genetic mutations, making a strong case for routine genetic testing to improve patient outcomes, according to a study published in the Journal of the...
A mobile app was able to distinguish toddlers diagnosed with autism spectrum disorder using machine learning, indicating that the technology could someday serve as a scalable early screening tool.
In...
Intermountain Primary Children’s Hospital has launched the HerediGene: Children’s Study, an effort to speed the development of precision medicine therapies for children with genetic...
A digital clinical decision support tool can help providers determine whether a child’s diarrhea is caused by bacteria or a virus and potentially cut inappropriate antibiotic use, according to a...
A deep learning model can measure the volume of cerebral ventricles on pediatric brain scans, leading to improved treatment of a pathological condition called hydrocephalus, according to a study...
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...
