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Find similar grantsAdvancing the Use of Genomic Information Into Clinical Care is sponsored by NIH. Promotes research that improves health by generating genomic evidence and implementing genomic findings into healthcare.
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Advancing the Use of Genomic Information Into Clinical Care | Grants & Funding U.S. Department of Health and Human Services National Institutes of Health Advancing the Use of Genomic Information Into Clinical Care When beginning your next investigator-initiated application, consider the following NIH highlighted topic. The area of science described below is of interest to the listed NIH Institutes, Centers, and Offices (ICOs).
This is not a notice of funding opportunity (NOFO). Apply through an appropriate NIH Parent Funding Announcement or another broad NIH opportunity available on Grants. gov .
Learn how to interpret and use Highlighted Topics . Post Date: September 10, 2025 Expiration Date: August 29, 2027 This topic seeks to promote research that improves health by generating genomic evidence and/or implementing genomic findings into healthcare. Despite substantial evidence showing genomic variants increase risk for numerous diseases, evidence is limited that using genomic results improves short and long-term outcomes.
This topic addresses this gap by encouraging studies on the impact of genomic information on clinical outcomes while also encouraging research on the most effective methods for implementation of evidence-based genomic medicine interventions into healthcare. Exemplary topics include: 1.
Generating Genomic Medicine Evidence: Pilot Studies: Testing whether use of genomic information improves short-term clinical outcomes or cost-effectiveness, with potential for follow-up to assess long-term impact and real-world application. Outcome Metrics: Developing metrics to evaluate clinical utility, including patient outcomes and cost-effectiveness. Generalizability: Ensuring findings apply across populations and settings.
2. Integrating Genomic Evidence into Clinical Care: Implementation Research: Investigating facilitators and barriers to implementing genomic medicine across a wide range of clinical settings. Frameworks for Study: Identifying, assessing, and applying implementation science frameworks to the study of genomic medicine.
Integration Strategies: Developing and researching strategies to integrate genomic evidence into clinical workflows in ways that optimize health outcomes. Preventive Strategies: Researching preventive strategies to the management of patients with genomic risk while optimizing access, risk, cost, and convenience. 3.
Developing and/or expanding resources relevant to genomic medicine: Clinical resources: defining relevance of genes and variants, developing, implementing, and maintaining genomic-based clinical tools and services for use in genomic medicine.
Translational resources: advancing the creation of repositories of curated multi-omic genetic data to facilitate the investigation of genetic influences on traits, diseases and treatments, enabling better disease prediction, prevention, and therapy strategies.
In summary, this topic promotes innovative research that advances the implementation of genomic information in clinical care, ensuring its benefits are broadly accessible and effectively integrated into routine healthcare. Central Scientific Contact: National Human Genome Research Institute (NHGRI) NHGRI is interested in all of the exemplary topics above.
National Institute of Allergy and Infectious Diseases (NIAID) NIAID is interested in supporting projects that focus on research that advance the use of genomic evidence (human, microbiome, and/or pathogen) to improve clinical diagnosis, care and resolution of infectious diseases, including HIV/AIDS; immunologic and allergic diseases, or organ transplantation; and other areas arising that are relevant to NIAID's scientific mission.
National Institute on Drug Abuse (NIDA) NIDA is interested in studies defining the relevance of genes and gene variants, developing and implementing and maintaining genomic based tools for substance use and addiction.
National Institute of Neurological Disorders and Stroke (NINDS) National Institute of Nursing Research (NINR) The NINR leverages a person-centered holistic nursing perspective to support rigorous solution-oriented research conducted by scientists from any discipline. NINR leads discoveries of innovative systems and models of care, breakthroughs in disease prevention and health promotion, and advances in population and community health.
Our research empowers individuals, families, communities, and populations to optimize their health and well-being. NINR supports research that addresses health differences, intervenes on the conditions in which people live, uses multilevel approaches to prevent disease and promote health, and implements clinical and organizational solutions to maximize positive outcomes of care delivery.
Mary Elizabeth Bowen, PhD Office of Research on Women's Health (ORWH) The areas of interest of the Office of Autoimmune Disease Research in the Office of Research on Women’s Health (OADR-ORWH) include: Develop and use genomic data resources for multilevel approaches to diagnose, prevent, and treat chronic conditions in women. Translate genetic research advancements in women's health across the life course.
Accelerating scientific discovery, developing data science and computational tools to integrate the interactions of genetics with environmental factors for diagnosis, treatment, prevention, and cures, and enhancing health for people with autoimmune disease. This office does not award grants. Applications must be relevant to the objectives of at least one of the participating NIH Institutes and Centers listed in this topic.
Elena Gorodetsky, M. D. , Ph.
D. Victoria Shanmugam, MBBS, MRCP, FACR, CCD National Institute of Dental and Craniofacial Research (NIDCR) Lorena Baccaglini, DDS, MS, PhD, NE-CPhT National Cancer Institute (NCI) Sarah Kalia, PhD, SM, ScM For technical issues E-mail OER Webmaster
According to the current listing, eligibility includes: Universities, Nonprofits, Research Institutions. Confirm the full requirements in the official notice before applying.
Applications for Advancing the Use of Genomic Information Into Clinical Care are due August 29, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Advancing the Use of Genomic Information Into Clinical Care is funded by NIH. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Wellcome Discovery Awards provide long-term flexible funding for established researchers and teams pursuing bold, creative research that can deliver significant shifts in understanding of human life, health, and wellbeing. AI and computational approaches to biomedical challenges are explicitly welcome, including machine learning for drug discovery, AI-driven clinical diagnostics, computational genomics, and data science for health equity. The world's second largest private funder of medical research (endowment approximately £14.5 billion), Wellcome supports interdisciplinary teams tackling fundamental health questions using novel methodologies. Discovery Awards are discipline-agnostic and value transformative potential over incremental advances, making them ideal for ambitious AI-health intersection research.
Advanced Digital Skills for AI Uptake in Health is sponsored by European Commission — Digital Europe Programme. Expected Outcome: Deliverables: Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health. Training programmes in the area of advanced digital skills for AI uptake in health, designed jointly by higher education institutions, VET providers, research organisations, businesses and other stakeholders in digital health, in collaboration with the network of AI-powered advanced screening centres. Training catalogue with detailed course planning and timetable, regularly updated. Final analysis of the completed training and the achievement level reached in improved skills. A landing page integrated into the Digital Skills and Jobs Platform, showcasing existing and forthcoming education and training initiatives and promoting training offers to the relevant audience. Objective: The academic offer in the area of advanced digital technologies in the EU is still lagging behind other regions of the world, especially when compared to the United Kingdom or the United States [1] even though the number of both bachelor’s and master’s programmes in the EU has increased through the years. Furthermore, apart from delivering excellent programmes in specific digital technologies, there is also a growing demand for interdisciplinary programmes to equip sector specialists with the digital skills to deploy and use advanced digital technologies. The actions under this topic aim at tackling the lack of academic training offer in advanced digital skills in key digital areas, while triggering a new way of delivering education programmes and training, building partnerships between education and training providers, businesses and research across the EU, and supporting the digital skills necessary for the deployment of digital technologies in strategic sectors. 1 This represents an increase of 8% in the number of bachelor programmes and an increase of 14% in the number of master programmes in the area of advanced digital skills. The dataset by the Joint Research Centre on the ‘Academic offer of advanced digital technologies 2022-2023’ is available here: JRC Data Catalogue - Dataset - European Commission Scope: This topic aims to expand the offer of education and training in Artificial Intelligence in health jointly designed between higher education and training institutions, research organisations and industry. The content must reflect the latest policy developments, notably the Apply AI Strategy [1] and the European Health Data Space [2] . It should cover developments in and application of AI and related digital health technologies. The target audience is healthcare professionals, as well as computer and data scientists, programmers, and software developers working in the healthcare sector. Trainings must reflect the learning needs of the target audience and will vary in depth and technical complexity to accommodate different levels of expertise and learning preferences. To this end, the proposed project(s) should design and deliver the trainings in cooperation with the Apply AI Strategy flagship “European network of AI-powered advanced screening centres” [3]. The training courses should be made available to members of the “European network of AI-powered advanced screening centres” at least quarterly. The training sessions and material should be available in English and other EU languages, considering the needs of the target audience that need to be established. The training catalogue and content should be adapted regularly, according to target audience feedback. Whenever applicable, the projects should foster the use of the HealthData@EU infrastructure and other European health data infrastructures (Genomic Data Infrastructure, Cancer Image Europe, the European Virtual Human Twins advanced platform, ICU data space), explore synergies and build on relevant education and training activities developed and provided in the context of those initiatives, as well as in the relevant projects funded by E Programme areas: DIGITAL-1 Keywords: Artificial intelligence, Artificial intelligence, intelligent systems, multi agent systems, Computer sciences - Operating systems (software development only), Continuing professional training, Curriculum design and development, Design of innovative master related to European Innovation potential, Digital Services and Platforms, Education, Education and Training, Health and Ecosystem Services, Health data, Health sciences, IT skills and competence, Identification of skills needs, Inclusive Education, Integration and upscaling of digital technologies and media in education, Interoperability, Learning outcomes, Master's or equivalent, New employement profiles and identification of skills, Personal development, Qualification, Teaching materials, Technological innovation, Training, Advanced Digital Skills, Cross-Sectoral Collaboration, Digital Health Education, European Health Data Space and infrastructure, European Health Initiatives, Health Workforce Development, Health care professionals, Health care students, High level expertise for healthcare, STEP-Digital/deep tech
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