# Intramural Programs

**Agency:** Health & Human Services  
**Account:** Intramural Programs  
**Source document:** NIH - National Library of Medicine · p. 10  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/budget/hhs/intramural-programs  

> **Trust:** parsed from the agency Congressional Justification. Approximate, **not summable**, verify at the cited page.

## Funding ($M)

| Fiscal year | Basis | Amount |
| --- | --- | --- |
| FY2025 | enacted | 393.4 |
| FY2026 | enacted | 408.7 |
| FY2027 | request | 375.0 |

## Health & Human Services discretionary budget authority (OMB PBDB — authoritative)

FY2027 $91.60B, FY2026 $131.10B. This is the agency total, not a sum of the parsed lines.


## What this funds

NLM's intramural programs encompass three major activities: 1) Intramural Research and Training; 2) Biomedical Information Services; and 3) Outreach and Engagement. NLM's intramural investigators develop and apply new computational approaches to a broad range of information problems in biology, biomedicine, and human health. These researchers are enhancing scientific understanding of the functional underpinnings of life by developing tools and methods to determine and predict the regulation, structure, and evolution of genes and proteins. They also employ informatics, data science, and artificial intelligence (AI) techniques to gain insights from health databases and analyze biomedical text and images. NLM researchers continue to better understand biological processes and systems using advanced bioinformatic tools. For example, NLM investigators used computational methods to identify "super-silencers," regions of the genome that normally suppress gene activity in healthy mature B cells (a type of immune cell). They found that the super-silencers can be heavily mutated, allowing genes to become active in lymphoma, highlighting their role in B cell development and NLM researchers also continued to develop and use informatics methods and AI tools to advance understanding of biomedical images and clinical records. Researchers used large language models to build an automated framework that makes it easier for clinicians and patients to find and connect with relevant clinical trials.2 Testing revealed the approach significantly reduced initial screening time, suggesting strong potential to improve efficiency of patient recruitment and expand patient care options for those in need. NLM's intramural research program also offers a variety of training opportunities to equip students and professionals at various academic and professional career stages with the wide- ranging skills, expertise, and background needed to address challenging biomedical problems. These opportunities include research in a variety of topics, including bioinformatics and computational biology, clinical and translational science, data science and big data analytics, and NLM collects, manages, preserves, and disseminates more than 200 petabytes of data and information derived from biomedical literature, biomedical research and molecular biology, clinical trials, consumer health information, and health data standards through its web-based biomedical information services. These data and information services are accessed by more than nine million people and computer information systems every day. NLM's biomedical literature services make information widely available and offer functionality to facilitate its retrieval and use. NLM's flagship PubMed'3 database of biomedical literature citations provides users access to needed information across devices and platforms and through major search engines. NLM leads the world in promoting free public access to published results of biomedical research through PubMed Central' (PMC).4 NIH and nine other federal agencies recognize and use PMC as the most efficient and effective means of disseminating full-text journal articles that report on research they fund. NLM manages and maintains several molecular biology databases and biomedical data resources. This includes more than 40 freely available, integrated molecular biology databases and bioinformatics tools that facilitate rapid and reliable access to molecular biology data, In FY 2025, NLM added more than one billion sequence records to GenBank',5 its database of publicly available assembled genetic sequences. With NIH support, NLM continues to implement a multiyear effort to develop a modern and sustainable enterprise architecture to support Sequence Read Archive (SRA),6 the world's largest publicly available repository of raw, unassembled genetic sequencing data, to leverage cloud-based resources and enable more efficient and scalable management of this petabyte-scale resource. NLM has also improved the research and clinical utility of its sequence data repositories by adding more than 85 million records to RefSeq, a database of annotated reference sequences against which variations can be analyzed, and 700,000 human genome sequence variants to ClinVar, a public archive of reports on relationships among human genome variations and NLM completed development of the NIH Comparative Genomics Resource (CGR),7 which facilitates comparative genomics analyses for eukaryotic organisms and maximizes the impact of their genomic data on biomedical research. CGR includes tools to improve the quality of genomic data submitted to GenBank for comparative analysis and to better access, visualize, and analyze sequences. In FY 2025, NLM enhanced the scale, efficiency, and impact of CGR by introducing and updating several tools. This included modernization of a resource that provides a single-entry point where users can easily access and download genome, taxonomy, and gene In FY 2025, NLM finalized a multiyear effort to modernize ClinicalTrials.gov,8 the world's largest publicly accessible database of privately and publicly funded clinical research studies, and reached a milestone of over 500,000 registered clinical studies. For over 25 years, ClinicalTrials.gov has made this information visible and accessible, enabling improved transparency, ensuring accountability, and fostering public trust in science, consistent with NLM also continues to manage and maintain MedlinePlus,9 a freely available online health information resource, and a companion service MedlinePlus Connect, which links electronic health record systems and patient portals to NIH-provided health information. Standards and Terminologies for Health Data Interoperability NLM plays a critical role in promoting the interoperability of health data through the development, maintenance, and dissemination of health data standards. NLM collaborates across NIH and the federal government to advance the interoperable exchange of health data for care and quality reporting in support of both research and federal health IT interoperability requirements. For example, NLM enhanced the Common Data Element (CDE) Repository10--a freely available source of standard, structured, machine-readable definitions of data elements, variables, and measures used in NIH-funded clinical research--to encourage increased adoption of CDEs in NIH-funded biomedical research. Using CDEs improves consistency of data collection across research studies to enable comparison of results and data aggregation. NLM's outreach and engagement activities promote the use of NIH and NLM digital resources and physical collections, with ongoing training opportunities through virtual workshop series on NLM data and tools. In FY 2025, NLM hosted more than 200 online tutorials and events 850,000 people, linked to more than 1,000 pages of digitized NLM collection materials, and circulated more than 140 traveling exhibitions on history, society, and medicine, reaching over 300,000 people across 46 states. Additionally, NLM digitized vast portions of its collection, making the data and knowledge therein freely available to researchers to advance scientific discovery and understanding of human health. Budget Policy: The FY 2027 President's Budget request for NLM's Intramural Programs is Within this funding level, NLM will seek efficiencies across all components of its intramural programs, including research and training in computational health and biology, which aim to support the needs of NLM, NIH, and the broader biomedical research community related to the use of AI and natural language processing to glean knowledge from scientific literature; using computational approaches to improve disease detection and diagnosis through analysis of biomedical images; and developing methods to enha


**Where it sits:** Civilian / Non-Defense › Health & Human Services › NIH - National Library of Medicine › Intramural Programs


*HitchAI is an independent intelligence service, not affiliated with the U.S. government. Civilian line dollars are parsed from agency Congressional Justifications and are approximate.*