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Create page: EO 14355 - Unlocking Cures for Pediatric Cancer with AI (September 2025)

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'''Executive Order 14355''', titled "Unlocking Cures for Pediatric Cancer with Artificial Intelligence," was signed by President Donald Trump on September 30, 2025, and published in the Federal Register on October 7, 2025 (Doc. No. 2025-19495, pages 48153–48155, Federal Register Vol. 90, No. 192).<ref>{{cite web|url=https://www.federalregister.gov/documents/2025/10/07/2025-19495/unlocking-cures-for-pediatric-cancer-with-artificial-intelligence|title=Unlocking Cures for Pediatric Cancer With Artificial Intelligence|publisher=Federal Register|date=October 7, 2025}}</ref> The order directs the application of artificial intelligence to accelerate research, diagnosis, treatment, and prevention of childhood cancers, doubling the budget of the Childhood Cancer Data Initiative (CCDI) to $100 million annually and directing HHS, NIH, and OSTP to integrate AI into pediatric cancer research programs.

==Background==
Pediatric cancer is the leading cause of disease-related death among children aged 1–19 in the United States. Its incidence has increased by more than 40 percent since 1975. Despite representing a small fraction of overall cancer cases, pediatric cancers present unique biological challenges because they often differ fundamentally from adult cancers in their genetic drivers and response to treatment.<ref>{{cite web|url=https://www.whitehouse.gov/fact-sheets/2025/09/fact-sheet-president-donald-j-trump-prioritizes-harnessing-american-ai-innovation-to-unlock-cures-for-pediatric-cancer/|title=Fact Sheet: President Donald J. Trump Prioritizes Harnessing American AI Innovation to Unlock Cures for Pediatric Cancer|publisher=The White House|date=September 2025}}</ref>

The order was linked to the administration's broader Make America Healthy Again (MAHA) initiative. The MAHA Commission, established by Executive Order 14212 of February 13, 2025, had identified reversing pediatric cancer trends as a top priority. EO 14355 operationalized that commitment through an AI-specific research acceleration mandate.

President Trump had previously established the Childhood Cancer Data Initiative (CCDI) during his first term in 2019 to collect, generate, and analyze childhood cancer data across federal programs. EO 14355 directed that CCDI's budget double from $50 million to $100 million and be reoriented toward AI-enabled applications.<ref>{{cite web|url=https://oncodaily.com/positive/president-trump-pediatric-cancer-ai-2025|title=Trump Signs Executive Order Doubling AI Funding for Pediatric Cancer Research|publisher=OncoDaily|date=2025}}</ref>

==Key Provisions==

===Federal Agency Directives===
The order directed three primary federal entities to integrate AI into pediatric cancer research:
* '''Department of Health and Human Services (HHS)''' — Oversee and coordinate the AI-for-pediatric-cancer initiative across HHS components, including NIH and the National Cancer Institute
* '''National Institutes of Health (NIH)''' — Develop and fund AI research programs targeting pediatric cancer diagnosis, treatment, and prevention; expand data sharing infrastructure to support AI model training
* '''White House Office of Science and Technology Policy (OSTP)''' — Coordinate interagency efforts and ensure the initiative is integrated with broader federal AI policy<ref>{{cite web|url=https://www.whitehouse.gov/presidential-actions/2025/09/unlocking-cures-for-pediatric-cancer-with-artificial-intelligence/|title=Unlocking Cures for Pediatric Cancer with Artificial Intelligence|publisher=The White House|date=September 30, 2025}}</ref>

===MAHA Commission Role===
The MAHA Commission was directed to develop innovative ways to utilize AI and other advanced technologies to unlock improved diagnoses, treatments, cures, and prevention strategies for pediatric cancer, and to report on progress against the EO's goals.

===Childhood Cancer Data Initiative Expansion===
The CCDI budget was increased from $50 million to $100 million annually. The initiative was directed to prioritize AI-ready data curation, ensuring the large-scale cancer genomics and clinical data the CCDI had been collecting would be structured and accessible for AI model training and validation.<ref>{{cite web|url=https://www.nih.gov/news-events/news-releases/hhs-doubles-ai-backed-childhood-cancer-research-funding|title=HHS Doubles AI-Backed Childhood Cancer Research Funding|publisher=National Institutes of Health|date=2025}}</ref>

===Research Focus Areas===
The order specified AI application priorities in pediatric oncology, including:
* AI-enhanced diagnostic imaging and pathology
* Genomic data analysis for treatment matching (precision medicine)
* Drug repurposing: identifying existing approved compounds with pediatric cancer efficacy
* Predictive modeling for treatment response and long-term survivorship outcomes
* AI-accelerated clinical trial matching and design<ref>{{cite web|url=https://cure4thekids.org/ai-childhood-cancer-executive-order/|title=AI and Childhood Cancer: What Families Need to Know About the New Executive Order|publisher=Cure 4 The Kids Foundation|date=2025}}</ref>

==Implementation==
HHS moved quickly to implement the order, with an NIH news release announcing that HHS was doubling AI-backed childhood cancer research funding. The National Cancer Institute (NCI) and other NIH institutes began soliciting AI research grants specifically focused on pediatric oncology applications.

The CCDI's data infrastructure expansion was identified as a critical enabler, as AI model training for cancer research requires large, well-curated datasets; the CCDI's existing collection of multi-omics and clinical data from pediatric cancer patients across children's hospitals represented one of the most valuable such datasets available.

==Broader Context: AI and Biomedical Research==
EO 14355 was part of a pattern of Trump administration executive orders connecting AI to specific health and science missions. The [[Executive Order 14363|Genesis Mission]] (November 2025) similarly directed DOE National Laboratories to apply AI to scientific discovery, including in biotechnology. The administration's position was that AI represented a transformational tool for biomedical research, capable of compressing the timeline from discovery to clinical application.<ref>{{cite web|url=https://natlawreview.com/article/trumps-executive-order-ai-and-pediatric-cancer-creates-new-eb-2-niw-opportunities|title=Trump's Executive Order on AI and Pediatric Cancer Creates New EB-2 NIW Opportunities|publisher=National Law Review|date=2025}}</ref>

==References==
<references/>

==External Links==
* [https://www.federalregister.gov/documents/2025/10/07/2025-19495/unlocking-cures-for-pediatric-cancer-with-artificial-intelligence Full text — Federal Register]
* [https://www.whitehouse.gov/presidential-actions/2025/09/unlocking-cures-for-pediatric-cancer-with-artificial-intelligence/ White House announcement]
* [https://www.whitehouse.gov/fact-sheets/2025/09/fact-sheet-president-donald-j-trump-prioritizes-harnessing-american-ai-innovation-to-unlock-cures-for-pediatric-cancer/ White House Fact Sheet]
* [https://ballotpedia.org/Executive_Order:_Unlocking_Cures_for_Pediatric_Cancer_with_Artificial_Intelligence_(Donald_Trump,_2025) Ballotpedia]
* [https://www.presidency.ucsb.edu/documents/executive-order-14355-unlocking-cures-for-pediatric-cancer-with-artificial-intelligence American Presidency Project]

[[Category:Executive Orders]]
[[Category:Federal AI Policy]]
[[Category:Trump Administration AI Policy]]
[[Category:AI and Healthcare]]
[[Category:Pediatric Cancer]]
[[Category:Make America Healthy Again]]
[[Category:2025 AI Legislation]]

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