Results for Machine Learning

The Tsui Laboratory integrates healthcare and patient data and develops end-to-end real-time artificial intelligence decision support systems to impact hospital staff, patients, and public health by decreasing costs, morbidity and mortality, and to increase efficiency and quality of care.

The Automated Assessment of Neurodevelopment in Infants at Risk for Motor Disability — PANDA Mobile App Data Collection study’s goal is to develop an affordable noninvasive easy-to-use tool for early detection of infant neurodevelopmental disabilities so they can receive treatment at an early age.

The Jolley Lab is focused on the visualization and quantification of congenitally abnormal heart structures using 3D images with the long-term goal of facilitating image-based structural phenotyping and patient-specific interventions.

Bringing together CHOP mathematicians, physicists, and engineers to brainstorm emerging technology and accelerate medical innovation.

The Computational Epigenetics Lab develops novel algorithms and big data analytics to understand epigenetic cell identity and its dynamics in cell fate transition, organismal development, and human disease.

Provides data storage and compute resources in a high availability infrastructure with data backup and recovery available.