← Back to Executive Order Summaries

Unlocking Cures for Pediatric Cancer With Artificial Intelligence

Executive Order: 14355
Issued: September 30, 2025
Federal Register Doc. No.: 2025-19495
Federal Register: HTMLPDF

This executive order positions artificial intelligence as a central tool in combating cancers affecting children, adolescents, and young adults, which the order identifies as the leading cause of disease-related death for Americans aged 1-19 years. The order frames this initiative within the administration's broader "Make America Healthy Again" (MAHA) agenda, established through Executive Order 14212 in February 2025. The order characterizes the problem as both urgent—noting that pediatric cancer incidence has increased by more than 40 percent since 1975—and systemic, criticizing healthcare systems for relying on "outdated technologies" and being "slow to adopt certain innovations." Building upon the Childhood Cancer Data Initiative (CCDI) created in 2019 with $50 million in annual funding over 10 years, the order seeks to leverage existing data infrastructure to accelerate AI-driven medical breakthroughs. The administration presents this effort as aligned with "America's AI Action Plan" and frames AI as capable of transforming diagnostics, treatment optimization, and cure identification through analysis of multimodal data with appropriate privacy protections.

The order establishes three primary operational domains for AI integration into cancer research and care. First, it directs the MAHA Commission to work with the Secretary of Health and Human Services, the Assistant to the President for Science and Technology, and the Special Advisor for AI and Crypto to accelerate AI-driven solutions at the CCDI, specifically targeting improvements to data infrastructure by consolidating multiple data sources for AI-ready analysis and utilizing AI for clinical trial participant selection. Second, the order mandates enhanced data analysis of complex biological systems using AI tools to improve predictive modeling of patient response, disease progression, and treatment toxicity, while converting multi-omics and imaging data into novel diagnostic and therapeutic biomarkers. Third, it calls for improving clinical trial design, access, and outcomes by incorporating multimodal data and AI approaches to maximize information utilization and improve trial accessibility, recruitment, administration, and result interpretation. These initiatives are to be implemented through research projects at National Cancer Institute-Designated Cancer Centers and by making data platforms and tools available through the CCDI Data Ecosystem.

Implementation responsibility is distributed across multiple federal entities, with the MAHA Commission serving as the primary coordinating body alongside the Secretary of Health and Human Services, the Director of the Office of Management and Budget, the Director of the National Institutes of Health, and the Assistant to the President for Science and Technology. Critically, the order creates no new funding or authorities; it directs agencies to increase investment by reprioritizing existing federal funds for the CCDI and other pediatric cancer initiatives, while encouraging private sector engagement with advanced AI-based technologies. The Secretary of Health and Human Services is specifically directed to finalize interoperability standards for patient data used with AI, accounting for both structured and unstructured data while ensuring privacy-compliant data exchanges and patient control over health information. However, the order does not establish clinical validation standards, AI safety protocols, bias mitigation requirements, or pathways for deploying AI tools in clinical care settings, meaning that clinical adoption timelines and regulatory frameworks will depend on separate agency actions. Implementation is subject to available appropriations with no specific timeline provided for completion of the various directives.