Navigator Emergency Department Diversion Models for Non-Urgent Mental Health Concerns (R34 Clinical Trial Required)
The purpose of this NOFO is to build research about the effectiveness, implementation, and optimization of family navigation ED diversion models for non-urgent mental health problems. Models of interest are designed to (a) utilize triage tools to identify mental health acuity, (b) facilitate engagement in mental health services and needed resources, and (c) provide support, knowledge about the mental health condition, and facilitate linkages/address barriers to help-seeking among families.
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- Eligibility
- Open to nonprofit organizations. Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.
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→The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for the creation of a Validation Center to serve as a dedicated hub for the comprehensive evaluation and characterization of AI-enabled, image-based, multimodal CDS tools developed by the PRIMED-AI Consortium, to ensure these tools are reliable, reproducible, and generalizable. The Validation Center will focus on verification, validation, interoperability, and uncertainty quantification to comprehensively characterize performance of the CDS tools developed by the program. The core functions of the Validation Center will involve the systematic validation of PRIMED-AI Consortium deliverables, including those emerging from award recipients under the Playbook, Data-to-Model Academic-Industrial Partnerships, and Model-to-Clinic NOFOs.
Grant$2MCloses 2026-10-02USHealthSingle Source Competition: Continuation of the Cardiovascular Repository for Type 1 Diabetes (CaRe-T1D) - Resource Center (U24 Clinical Trial Not Allowed)
→This Notice of Funding Opportunity (NOFO) invites a single cooperative agreement application for the Resource Center for the Cardiovascular Repository for Type 1 Diabetes (CaRe-T1D). The purpose of CaRe-T1D is to support innovative, discovery and mechanistic research through the study of human cardiovascular (CV) tissue. This research seeks to better understand cardiovascular disease (CVD) in type 1 diabetes, highlight differences compared to type 2 diabetes, and ultimately guide the development of therapies to treat this major cause of morbidity and mortality for individuals with type 1 diabetes. To achieve these goals, the Resource Center will expand the CaRe-T1D biorepository of human CV tissue, further develop the data commons for data sharing and for artificial intelligence (AI) tools, coordinate the research activities of the investigative teams in the CaRe-T1D consortium, and make CaRe-T1D resources accessible to the broader research community. This NOFO is associated with the Special Diabetes Program (https://www.niddk.nih.gov/about-niddk/research-areas/diabetes/type-1-diabetes-special-statutory-funding-program/about-special-diabetes-program) which funds research on the prevention, treatment, and cure of type 1 diabetes and its complications, including unique, innovative, and collaborative research consortia and clinical trials networks.This is a Notice of Funding Opportunity (NOFO) for a Single Source that will invite application(s) from eligible organization(s) to apply. Please see Section III. Eligibility for additional information. In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding.
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→The purpose of this Notice of Funding Opportunity (NOFO) is to support the next 5-year award period of the Clinician-Scientist Transdisciplinary Aging Research Coordinating Center (Clin-STAR CC), whose mission is to serve as a national resource for clinician-investigators across specialties and disciplines who are focusing their careers on aging research. This NOFO intends to build upon NIA's substantial investments to foster the development of clinician-scientists across specialties and disciplines. The specific goals of this initiative are to convey scientific and research knowledge on aging research; foster networking and collaboration between clinician-scientist leaders in aging research and clinician-investigators across specialties and disciplines who wish to focus on aging research; provide mentoring and career development support for emerging clinician-scientists committed to pursuing aging research in their clinical specialty or discipline; and advance interdisciplinary research projects in aging. Ultimately, the Clin-STAR CC is intended to provide a multi-faceted national research platform leading to improved patient-centered care for older adults across specialties and disciplines.
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