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The Office of Disease Prevention (ODP) and participating National Institutes of Health (NIH) Institutes, Centers, and Offices (ICs) are issuing this Notice of Special Interest (NOSI) to solicit applications proposing to strengthen the evidence base for preventive screening services where the evidence is lacking, of poor quality, conflicting, or the balance of benefits and harms cannot be determined. This NOSI encourages the development and use of innovative and rigorous methods and approaches to close high priority evidence gaps to elevate screening services to a level suitable for a definitive grade or recommendation. The specific research interests of participating NIH ICs are detailed within.

The Office of Disease Prevention (ODP) and participating National Institutes of Health (NIH) Institutes, Centers, and Offices (ICs) are issuing this Notice of Special Interest (NOSI) to encourage applications proposing to test multilevel strategies and interventions to improve the uptake of evidence-based screening services across the lifespan and in populations including, but not limited to, those experiencing health disparities and those that are underserved. Studies addressing efficacy, effectiveness, dissemination and implementation research, as well as studies seeking to understand and address barriers to screening are encouraged. The specific research interests of participating NIH ICs are detailed within.

The purpose of this Notice of Special Interest (NOSI) is to encourage the development and validation of animal models that recapitulate the phenotypic and physiologic characteristics of a defined pain type/indication and/or disease-associated pain condition and endpoints or outcome measures that can be used therein. The goal of this NOSI is to promote a significant improvement in the translational relevance of animal models and/or outcome measures that will be utilized to facilitate future development of non-addictive analgesics. Ideally, models or measures proposed for this NOSI would have the potential to provide feasible and meaningful assessments of efficacy following therapeutic intervention that would be applicable in both preclinical and clinical settings.

This Funding Opportunity Announcement (FOA) invites applications to the National Institute on Aging's (NIA) Small Business Technology Transfer Research (STTR) program. The aim of this FOA is to support research that may lead to the development of innovative products and/or services with the potential to advance progress in preventing and treating Alzheimer's disease (AD) and AD-related dementias (ADRD) and/or caring for and treating patients living with AD/ADRD.

This Funding Opportunity Announcement (FOA) invites applications to the National Institute on Aging's (NIA) Small Business Innovation Research (SBIR) program. The aim of this FOA is to support research that may lead to the development of innovative products and/or services that have the potential to advance progress in preventing and treating Alzheimer's disease (AD) and AD-related dementias (ADRD) and/or caring for and treating patients living with AD/ADRD.

This Funding Opportunity Announcement (FOA) solicits R01 grant applications that propose independent research projects that are within the scientific mission areas of the ?participating NIH Institutes or Centers. This program is intended to support New Investigators and At-Risk Investigators from diverse backgrounds, including those from groups underrepresented in the health-related sciences.Investigators from diverse backgrounds, including those from underrepresented groups (e.g., see NOT-OD-20-031, Notice of NIHs Interest in Diversity), are eligible to apply. Investigators from categories A and B are particularly encouraged to work with their institutions to apply

The NIH INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE (INCLUDE) Project seeks to improve health and quality-of-life for individuals with Down syndrome (DS). This Notice of Special Interest (NOSI) announces NIH support for administrative supplement applications for actively funded projects to meet NIH Down syndrome research objectives related to the NIH INCLUDE Project as listed below.

The National Institute of Environmental Health Science (NIEHS), in partnership with Fogarty International Center (FIC), National Institute of Minority Health and Health Disparities (NIMHD), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institute of Mental Health (NIMH), National Institute of Nursing Research (NINR), National Heart Blood and Lung Institute (NHBLI) and National Institute of Allergy and Infectious Disease (NIAID) is leading an NIH-wide Climate Change and Health Initiative (CCHI) with the goals of: reducing the health threats posed by climate change across the lifespan; improving the health of people who are at increased risk from or disparately affected by climate change impacts; and building health resilience among individuals, communities, nations around the world, thereby increasing health equity. As a part of this CCHI, this NOSI encourages applications that address the impact of climate change on health and well-being over the life course, including the health implications of climate change in the United States and globally.

This FOA will support integrated, interdisciplinary research teams that focus on examining dynamic circuit functions related to behavior, using advanced and innovative technologies. The FOA will support programs with a necessarily-synergistic, team science approach. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should incorporate overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a framework that will be developed and used in the proposed U19 project and exchanged with other BRAIN U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Programs should employ multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration. Applicants proposing to include human subjects with invasive neural recording must apply to the companion FOA, RFA-NS-XX-XXX.

This FOA will support integrated, interdisciplinary research teams from prior BRAIN technology and/or integrated approaches teams, and/or new projects from the research community that focus on examining circuit functions related to behavior, using advanced and innovative technologies. The goal will be to support programs with a team science approach that can realize meaningful outcomes within 5-plus years. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should address overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a prototype framework that will be developed and used in the proposed U19 project and exchanged with other U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Budgets should be commensurate with multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration.