Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFBackground: Neonatal infections due to Paenibacillus species have increasingly been reported over the last few years.
Methods: We performed a structured literature review of human Paenibacillus infections in pediatric and adult patients to compare the epidemiology of infections between these distinct patient populations.
Results: Forty reports describing 177 infections were included.
Background And Objectives: Hypotonia is a relatively common finding among infants in the neonatal intensive care unit (NICU). Consideration of genetic testing is recommended early in the care of infants with unexplained hypotonia. We aimed to assess the diagnostic yield and overall impact of exome and genome sequencing (ES and GS).
View Article and Find Full Text PDFBMC Med Res Methodol
December 2024
Boston Children's Hospital has established a genomic sequencing and analysis research initiative to improve clinical care for pediatric rare disease patients. Through the Children's Rare Disease Collaborative (CRDC), the hospital offers CLIA-grade exome and genome sequencing, along with other sequencing types, to patients enrolled in specialized rare disease research studies. The data, consented for broad research use, are harmonized and analyzed with CRDC-supported variant interpretation tools.
View Article and Find Full Text PDF