The Center for Data Driven Discovery in Biomedicine (D3B) at Children’s Hospital of Philadelphia (CHOP) is among several institutions that will help scale a national pediatric data and knowledge network to improve health outcomes for children with complex diseases, beginning with pediatric brain cancer, as part of a $50 million commitment funded by the Advanced Research Projects Agency for Health (APRA-H), an agency within the U.S. Department of Health and Human Services.
The effort, called Pediatric Care eXpansion (PCX), will connect more than 200 pediatric hospitals and care centers, from rural towns to large cities, to securely exchange clinical and research data across the institutions—so clinicians can act on a more complete, usable picture of a child’s care.
“Families navigating a pediatric brain tumor diagnosis often face delays caused not by lack of expertise, but by lack of access to information,” said Phillip “Jay” Storm, MD, Chief of the Division of Neurosurgery and Co-Director of the Neuroscience Center at CHOP and Co-Executive Director of D3B. “PCX can change that reality by allowing critical health data to follow a child across care settings, so clinicians can make informed decisions faster.”
Among the projects that will be expanded as a result of PCX will be RADIANT (Real-time Analysis and Discovery in Integrated And Networked Technologies), which was developed by researchers at D3B to process millions of points of data at a larger scale to discover underlying causes of complex cancers and diseases and making those findings rapidly available to researchers and clinicians across the country and the world. The RADIANT project was the first ARPA-H-funded project at CHOP in 2024.
The RADIANT project creates a network architecture that advances the real-time integration of data from a participating patient’s electronic health records (EHRs) with genomic and imaging data. With CHOP as the coordination center of the initiative, RADIANT scale linkages across a network of hospitals throughout the nation, sharing critical data and information as well as providing resources for interpreting that data.
The RADIANT team at D3B and CHOP will work together with other PCX partners, including the Children’s Brain Tumor Network (CBTN), Children’s Oncology Group (COG), Genomic Information Commons (GIC), Pediatric Neuro-Oncology Consortium (PNOC), and the Undiagnosed Disease Network (UDN). Additionally, several leading companies in AI, data, and health care have also pledged their commitment to support PCX through areas such as in-kind funding, computing credits for LLMs, and subject-matter expertise and engineering resources, including Amazon Web Services (AWS), Anthropic, Illumina, Kno2, Microsoft, Milken Institute, Google, and OpenAI.
The RADIANT initiative brings together investigators from the Centre Hospitalier Universitaire Sainte-Justine and a regional health information exchange, HealthShare Exchange (HSX), as well as technology partners including AWS, MuleSoft (from Salesforce), Kno2, Peyk, and Flywheel.
This research was funded, in part, by the U.S. Government. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government.
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The Center for Data Driven Discovery in Biomedicine (D3B) at Children’s Hospital of Philadelphia (CHOP) is among several institutions that will help scale a national pediatric data and knowledge network to improve health outcomes for children with complex diseases, beginning with pediatric brain cancer, as part of a $50 million commitment funded by the Advanced Research Projects Agency for Health (APRA-H), an agency within the U.S. Department of Health and Human Services.
The effort, called Pediatric Care eXpansion (PCX), will connect more than 200 pediatric hospitals and care centers, from rural towns to large cities, to securely exchange clinical and research data across the institutions—so clinicians can act on a more complete, usable picture of a child’s care.
“Families navigating a pediatric brain tumor diagnosis often face delays caused not by lack of expertise, but by lack of access to information,” said Phillip “Jay” Storm, MD, Chief of the Division of Neurosurgery and Co-Director of the Neuroscience Center at CHOP and Co-Executive Director of D3B. “PCX can change that reality by allowing critical health data to follow a child across care settings, so clinicians can make informed decisions faster.”
Among the projects that will be expanded as a result of PCX will be RADIANT (Real-time Analysis and Discovery in Integrated And Networked Technologies), which was developed by researchers at D3B to process millions of points of data at a larger scale to discover underlying causes of complex cancers and diseases and making those findings rapidly available to researchers and clinicians across the country and the world. The RADIANT project was the first ARPA-H-funded project at CHOP in 2024.
The RADIANT project creates a network architecture that advances the real-time integration of data from a participating patient’s electronic health records (EHRs) with genomic and imaging data. With CHOP as the coordination center of the initiative, RADIANT scale linkages across a network of hospitals throughout the nation, sharing critical data and information as well as providing resources for interpreting that data.
The RADIANT team at D3B and CHOP will work together with other PCX partners, including the Children’s Brain Tumor Network (CBTN), Children’s Oncology Group (COG), Genomic Information Commons (GIC), Pediatric Neuro-Oncology Consortium (PNOC), and the Undiagnosed Disease Network (UDN). Additionally, several leading companies in AI, data, and health care have also pledged their commitment to support PCX through areas such as in-kind funding, computing credits for LLMs, and subject-matter expertise and engineering resources, including Amazon Web Services (AWS), Anthropic, Illumina, Kno2, Microsoft, Milken Institute, Google, and OpenAI.
The RADIANT initiative brings together investigators from the Centre Hospitalier Universitaire Sainte-Justine and a regional health information exchange, HealthShare Exchange (HSX), as well as technology partners including AWS, MuleSoft (from Salesforce), Kno2, Peyk, and Flywheel.
This research was funded, in part, by the U.S. Government. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government.
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