Developing accurate predictive models for patients with pediatric acute myeloid leukemia (AML) can close the preclinical gap in treatment for the rare disease. Unlike adult patients who have patients, ...

Please provide your email address to receive an email when new articles are posted on . Researchers found that an AI model could identify eye diseases in children using only cell phone photos. The ...

Among pediatric patients presenting to the emergency department (ED) with high fevers, pinpointing those at risk for developing sepsis “is akin to looking for a needle in the haystack,” said Elizabeth ...

Model can discriminate between mild community-acquired pneumonia and moderate or severe community-acquired pneumonia accurately. HealthDay News — An accurate risk prediction model has been developed ...

Artificial intelligence (AI) is increasingly being explored as a tool to support clinical decision-making, yet its real-world performance in pediatric diagnosis remains unclear. Now, a Pediatric ...

Scientists at St. Jude Children's Research Hospital created a hepatoblastoma (liver cancer) model that more accurately reflects the pathology and genomics of the disease. Research using the model ...

Researchers from Boston Children's Hospital and Yonsei University have developed a machine learning tool to predict no-shows in pediatric medical appointments. By adopting a data imputation method for ...

Oncogenic fusion proteins are known to drive the development of some pediatric cancers, including leukemias. One fusion of note, CBFA2T3-GLIS2 (CBF/GLIS), is associated with very poor survival ...

Over more than eight decades, Ranken Jordan Pediatric Bridge Hospital has challenged conventional thinking about how children heal. Now, with the creation of a new executive role, the St. Louis–based ...