Alcohol Treatment, Pharmacotherapy, and Recovery Research (R01 Clinical Trial Required)

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.

The focus of this notice of funding opportunity (NOFO) is to produce insights into disease detection and prevention strategies, burden, severity, diagnostics, treatment, and outcomes of infectious diseases in international travelers. Timely surveillance and sentinel detection are essential for collecting actionable data. The research should:Address public health questions that improve the speed of outbreak detection.Help develop guidelines and recommendations to improve patient care.Enhance understanding of the natural history of disease.Optimize genomic surveillance as well as diagnostic and treatment strategies.Advance the global health security of the United States.This NOFO will have two components:Component A – Clinic-based sentinel network.Component B – Sentinel detection in international transportation hubs.You may apply for Component A, B, or both. If your application for both Component A and B is ranked top, Component B will be awarded.

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.

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.

Through this Notice of Funding Opportunity (NOFO), the National Cancer Institute (NCI) solicits applications for research on developing a comprehensive and cohesive understanding of cancer metastasis. Towards this goal, the NCI will support U54 Specialized Centers that together will continue to serve as the hub of the Metastasis Research Network (MetNet). Each MetNet Center should propose an overarching scientific theme that will be pursued through two or three scientific inter- and multidisciplinary basic research projects. The projects should use integrative system level approaches to elucidate and integrate a mechanistic understanding of the non-linear, dynamic, and emergent processes in metastasis. Overarching themes should encompass the interplay between at least two central elements in the metastatic process such as early dissemination, cellular, soluble and/or physical microenvironment crosstalk, dormancy, or mechanisms of responses by metastatic cells to therapies. Studies on all types of cancer are welcome, including rare and pediatric metastatic cancers.Research proposed by MetNet Centers is expected to advance our understanding towards a more comprehensive appreciation of metastasis as a whole body, systems-level problem.

The Genomics Research to Elucidate the Genetics of Rare Diseases:innovation (GREGoRi) initiative seeks to accelerate a paradigm shift in rare disease diagnosis by reimagining the tools, molecular technologies and analytical approaches used to identify the causal gene(s) and/or variant(s) underlying rare genetic disorders. The purpose of this Notice of Funding Opportunity is to establish the GREGoRi Technology Integration Center, which will enable the development of standards and best practices for applying new and emerging molecular methods in rare disease diagnosis. A major deliverable of the Center will be a multidimensional dataset that can be used for the development and benchmarking of novel tools and strategies that facilitate rare disease diagnosis.

This notice of funding opportunity (NOFO) invites applications from eligible organizations to establish a Data Coordination and Integration Center (DCIC) for the NIH HEAL Initiative. This Center will support the coordination and integration of data from both the HEAL INTERACT program and progressively facilitate broader integration of related musculoskeletal datasets and programs. The Data Coordination and Integration Center will lead efforts for managing and integrating complex pain-associated data types and information from the INTERACT Consortium and progressively related datasets. It will also establish a web-accessible information system and disseminate datasets that can facilitate hypothesis generation and be widely used throughout the research community.

The purpose of the High Impact Specialized Innovation Programs (SIPs) is to support the development and demonstration of unique hub capabilities, research platforms and/or resources to address in a timely manner critical gap areas and/or roadblocks in clinical and translational science at awarded UM1 Clinical and Translational Science Awards (CTSA) Program Hubs (PAR-24-272). Successful programs supported through this funding opportunity are expected to lay a strong foundation for future adoption and/or dissemination of capabilities to additional CTSA Program Hubs.

This notice of funding opportunity (NOFO) seeks to establish a course to equip researchers studying drug use, drug misuse, and drug addiction with the skills, knowledge, and practical tools needed to translate their scientific discoveries into impactful real world solutions. The course is envisioned to focus on building capacity in product development, entrepreneurship, and innovation pathways so participants can more effectively move biomedical ideas from early research toward implementation, or commercialization. By combining structured training, mentorship, and hands-on experience, the course is envisioned to accelerate the development of biomedical products that address the complex challenges of drug use, drug misuse, and drug addiction, while fostering an interdisciplinary community of investigators prepared to navigate the scientific, regulatory, and business aspects of this unique research field.

This Notice of Funding Opportunity (NOFO) invites exploratory grant applications, hereafter referred to as the Novel Experiential Technologies Assisting Individual learning Hubs or NExT AI Hubs (formerly Learning Disabilities Innovation Hubs), to address the impact of Artificial Intelligence (AI) technologies on developmental outcomes in children diagnosed with or at risk for developing a specific learning disability (SLD) impacting reading, writing, and mathematics. NExT AI Hubs include a single Research Project and a Leadership Core that support the goals and aims of the Hub. This NOFO seeks to serve as a catalyst to 1) speed the maturation of nascent/novel, high-impact, high-risk research that advances understanding of the role AI technology plays in supporting, improving, or limiting the learning, cognitive, and socio-emotional needs of children at risk for or diagnosed with SLDs, 2) build an evidence base for the SLD community to inform policy or practice, and 3) provide project-embedded, career-enhancing research and professional development opportunities to support the next generation of transdisciplinary SLD scientists. This initiative provides opportunities to support planning and building a body of research and corresponding intellectual infrastructure to enable NExT AI investigators to compete for large research and program project opportunities in the future.This NOFO aims to integrate research topics that are of relevance to various research programs at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and align with the NICHD Strategic Plan. The NOFO intends to build cross-programmatic, transdisciplinary and cross-cutting scientific research, and critically nurture the development of early career investigators capable of conducting this research.