New machine learning model predicts IVIG resistance in Kawasaki disease
Researchers in China have developed and validated a machine learning model that predicts, before treatment begins, which children with Kawasaki ...
Tag: machine learning in pediatric cardiology
Routine Heart Test Reveals Key Insights into Children’s Growth and Development, New Study Shows
A groundbreaking study from Wake Forest University School of Medicine has unveiled a novel method for tracking biological development in ...
Machine Learning Predicts Hospital Stay in Pediatric Cardiology
In a groundbreaking advancement that intertwines the realms of pediatric cardiology and artificial intelligence, a recent study has unveiled a ...
Machine Learning Predicts Fontan Failure and Liver Disease
In the realm of pediatric cardiology, the quest to enhance the outcomes and quality of life for children with congenital ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!