# 2025-19495: White House Pushes AI Breakthroughs to Cure Kids' Cancer Faster 2025-19495, Unlocking Cures for Pediatric Cancer With Artificial Intelligence, is a Federal Register presidential document from Executive Office of the President published 2025-10-07, effective 2025-09-30 (as of 2026-11-04). - Canonical: https://policyrisk.com/federal-register/2025-19495 - As of: 2026-11-04 - Plain-text twin of the page above; the HTML and this file carry the same facts. ## Facts - Document number: 2025-19495 - Title: Unlocking Cures for Pediatric Cancer With Artificial Intelligence - Type: Presidential Document - Agencies: Executive Office of the President - Citation: 90 FR 48153 - Published: 2025-10-07 - Effective: 2025-09-30 - Comments close: not stated - Significant: no - Touches household money: no - Regulation identifier numbers: none - Last updated: 2026-11-04 ## In one line White House Pushes AI Breakthroughs to Cure Kids' Cancer Faster ## Summary The President is launching a bold plan to use artificial intelligence (AI) to fight pediatric cancer, the top disease killer of kids aged 1-19 in the U.S. This builds on a $50 million yearly investment in childhood cancer data and aims to speed up new cures, better treatments, and early diagnosis. Families, researchers, and healthcare systems will see faster progress starting now, with strong privacy protections in place. ## Effects PRIA read - Existing $50M/Year Childhood Cancer Fund: benefit, medium. The order builds on the Childhood Cancer Data Initiative (CCDI), a Federal investment of $50 million every year for 10 years that began in 2019. This funding supports data collection and research that the Administration says will help speed pediatric cancer discoveries. - Federal Push to Increase Pediatric Cancer Funding: benefit, medium. The MAHA Commission and federal agencies are directed to prioritize identifying and implementing strategies to increase investment from existing Federal funds for the CCDI and other Federal initiatives that address pediatric cancer. The order explicitly instructs agencies to prioritize expanding re… - Data Platforms and NCI Research Funding: benefit, medium. The order directs making data platforms and tools available as part of the CCDI Data Ecosystem and funding research projects at National Cancer Institute-Designated Cancer Centers. These steps are aimed at accelerating AI-driven solutions for pediatric cancer. - Consolidating Data for AI-Ready Trials: benefit, medium. The order directs improving data infrastructure by consolidating data from multiple sources for AI-ready analysis and using AI to better select participants for clinical trials. The aim is to make trial recruitment and participant selection more effective. - AI to Improve Predictive Models and Biomarkers: benefit, high. The order prioritizes using AI tools to analyze complex biological data to improve predictive modeling of patient response, disease progression, and treatment toxicity, and to turn multi-omics and imaging data into new diagnostic and therapeutic biomarkers. The stated goal is earlier and superior d… - AI to Improve Clinical Trial Access and Outcomes: benefit, medium. The order directs use of multimodal data and AI approaches to improve clinical trial design, accessibility, recruitment, administration, conduct, and interpretation of results to improve outcomes for patients. The goal is better trial access and more useful trial results. - Patient Control and Interoperability Standards: benefit, low. The Secretary, in consultation with the Assistant to the President for Science and Technology, is directed to finalize interoperability standards for patient data used with AI and to ensure patients and parents control their health information. The aim is safe, privacy-compliant exchanges that incl… - Encouraging Private Sector AI Engagement: benefit, low. The order instructs agencies to encourage the private sector to use advanced technologies, including AI, to help unlock cures for pediatric cancer to the maximum possible extent. 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