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Celebrating Innovation at CHOP's Cardiac Center
Three new clinical research initiatives were selected to receive funding to support their research.
Neurodevelopment and Congenital Heart Disease Podcast
This podcast explores the importance of routine neurodevelopmental assessments for children born with complex congenital heart disease (CHD).
Dr. John Maris Receives QED Award to Develop Novel Treatment for Neuroblastoma
A CHOP research leader received an award from the University City Science Center to help develop a new T-cell based treatment for a childhood cancer.
Case Study: 4-Year-Old with Spinal Muscular Atrophy Type 2
Using dynamic MRI to accurately assess function and a novel treatment approach can dramatically change clinical outcomes in patients with complex chronic disease and can alter expectations and disease progression.
Heart-healthy & Tasty Ideas for All Meals
Eating the right foods can support cardiac health and help reduce the risk of high blood pressure. Check out these heart-healthy recipes.
Dynamic Lung MRI: Powerful Imaging Study Available Exclusively at CHOP
A revolutionary technique called dynamic lung MRI (dMRI) allows clinicians to visualize the lungs as they move inside the body.
Black Tie Tailgate Raises $1.2 Million for Department of Nursing in Two Years
The Auto Dealers CARing for Kids Foundation raised more than $1.2 million over the past two years to the Department of Nursing at Children’s Hospital of Philadelphia.
Researching to Improve Prenatal and Postnatal Treatment of Congenital Diaphragmatic Hernia
CHOP continues to lead translational and clinical outcomes research into prenatal and postnatal interventions to treat CDH. Learn more about some of those efforts.
Defining the Emotional Toll of High-risk Pregnancies
Our Psychosocial Support Team offers a wide array of counseling and supportive services to help parents and families cope and feel emotionally supported through the time of fetal diagnosis and beyond neonatal discharge.
Using Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly
In a retrospective case-control study of 50 patients with VM, machine learning techniques were highly accurate in predicting the need for postnatal CSF diversion.