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This Funding Opportunity Announcement (FOA), issued by the National Institutes of Health (NIH) invites eligible United States small businesses to submit Small Business Technology Transfer (STTR) grant applications. United States small businesses that have the research capabilities and technological expertise to contribute to the R and D mission(s) of the NIH awarding components identified in this FOA are encouraged to submit STTR grant applications in response to identified topics (see PHS 2022-2 SBIR/STTR Program Descriptions and Research Topics for NIH, CDC, and FDA). This Parent Funding Opportunity Announcement does not accept clinical trials.

The National Institute on Aging (NIA) is issuing this Notice of Special Interest (NOSI) to invite Administrative Supplement applications to existing awards in response to the urgent need for research infrastructure that addresses the role of diverse physical, chemical, social, psychological, and economic exposures across multiple levels and across the life course in the etiology and social disparities of Alzheimer’s disease (AD) and AD-related dementias (ADRD).

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.

The NIH Helping to End Addiction Long TermSM (HEAL) Initiative NIH aims to improve our understanding, management and treatment of pain by funding high quality scientific research in this relatively understudied area of medicine. For the HEAL Initiative and NIH to meet their long-term goals of providing effective non-opioid options for the treatment of pain conditions and innovative approaches for treating opioid use disorders, it will be necessary to train a new generation of clinical pain researchers. Leveraging HEAL Initiative clinical research programs to train novice researchers and investigators new to pain research in the mechanics, techniques, and best practices of clinical pain research will maximize the impact of HEAL funding for both current and future research endeavors. Increasing the number of individuals trained in high quality clinical pain research is a critical step toward ensuring the highest impact of HEAL, with studies that encompass a broad range of pain conditions and have the potential to include, address the needs of, and positively impact diverse and traditionally underserved patient populations.

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 development of Academic Research Enhancement Award (AREA) and Research Enhancement Award Program (REAP) applications for Health Professional Schools and Graduate Schools to support small scale basic and translational research grants that meet programmatic objectives of the INCLUDE project at institutions that do not receive substantial funding from the NIH, with an emphasis on providing biomedical research experiences primarily for undergraduate and/or graduate students and enhancing the research environment at applicant institutions. Eligible institutions must award NIH-relevant baccalaureate or advanced degrees in health professions and have received less than $6 million per year of NIH support (total costs) in 4 of the last 7 fiscal years. In this FOA, a college is a stand-alone entity and not a component of a university system. The goal of this NOSI is also to build a pathway of meritorious undergraduate and graduate students engaged in Down syndrome research. A REAP application may include other investigators, such as collaborators or consultants, or other trainees such as high school students, post baccalaureate participants, postdoctoral fellows, or clinical fellows. However, involvement of such individuals does not fulfill the goal to expose undergraduate and/or graduate students in eligible environments to research.

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 research project grant (R01) applications that are focused on Down syndrome and that meet programmatic objectives for the INCLUDE Project.

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.

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 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 focus on 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 aim to understand these 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 and experimental design guided by specified theoretical constructs, are encouraged to employ quantitative, mechanistic and predictive models where appropriate. 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. 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.

The purpose of this funding opportunity announcement (FOA) is to invite applications for Phase II SBIR applications to test promising cerebrovascular interventions in the NINDS Stroke Preclinical Assessment Network (SPAN). SPAN will facilitate the testing of up to 8 promising cerebroprotective drugs or interventions to be given prior to or at the time of reperfusion in experimental models of ischemic stroke (e.g., transient middle cerebral artery occlusion (tMCAo)). The PIs of the awarded interventions will become part of the network and will collaborate with the SPAN Coordinating Center (RFA-NS-22-004), testing laboratories (RFA-NS-22-003), and other intervention contributors (RFA-NS-22-066, RFA-NS-22-067) to facilitate the parallel testing of multiple cerebroprotective interventions in experimental models of ischemic stroke. Applicants must propose a research project involving a promising cerebroprotective intervention, supported by rigorous and extensive preliminary data, to be tested in SPAN. If successful, this network will accelerate the identification of the most promising cerebroprotective therapies for future pivotal clinical trials and span the gap between small businesses, preclinical testing laboratories, and a pipeline to clinical testing, in a cost-and time-effective fashion.