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The purpose of thisNotice of Funding Opportunity (NOFO)is to invite applicationsfocused on theneurological and neuropsychiatric manifestationsof COVID-19 (neuro-COVID) andPost-Acute Sequelae of SARS-CoV-2 Infection (neuro-PASC) and on the effect of COVID-19 on pre-infection neurologic conditions. Applications investigating the pathophysiology and mechanisms of neuro-COVID and neuro-PASC and neurologically-focused human subjects research, as well as those proposing studies of scientifically compelling pathways to prevent the development of neuro-PASC or to accelerate the development of effective treatments forPASC-related neurological complications are of particular interest for this NOFO.

The purpose of this Notice of Funding Opportunity (NOFO) is to invite exploratory and innovative research applications focused on theneurological and neuropsychiatric manifestationsof COVID-19 (neuro-COVID) andPost-Acute Sequelae of SARS-CoV-2 Infection (neuro-PASC) and on the effect of COVID-19 on pre-infection neurologic conditions. Applications investigating the pathophysiology and mechanisms of neuro-COVID and neuro-PASC and neurologically-focused human subjects research, as well as those proposing studies of scientifically compelling pathways to prevent the development of neuro-PASC or to accelerate the development of effective treatments forPASC-related neurological complications are of particular interest for this NOFO.

The purpose of this Notice of Special Interest (NOSI) is to provide an opportunity for funded researchers to pursue supplemental funding to conduct research that can help to elucidate the unique trajectories and needs of late talking children.

The purpose of this FOA is to provide support for institutional research training programs in Alzheimers Disease/Alzheimers Disease-Related Dementias (AD/ADRD). These institutional research training programs should produce well-trained neuroscientists who leave the program with the research skills and scientific knowledge to make a significant contribution to research on AD/ADRD cognitive impairment and dementia. Programs should be designed to enhance the breadth and depth of training across the spectrum AD/ADRD research areas (e.g. AD, Vascular Contributions to Cognitive Impairment and Dementia (VCID), Lewy Body Dementia (LBD), Fronto-temporal Dementia (FTD) and mixed dementias) by incorporating didactic, research and career development components within this theme into a program that fosters exceptional research skills and knowledge. Programs may support basic, clinical and/or translational research. Programs supported by this FOA must include formal components to ensure a thorough understanding of experimental design, statistical principles and methodological approaches, analytical skills, and skills for communicating science, both orally and in writing, to a wide variety of audiences. All programs are expected to design and/or provide opportunities and activities that will foster the development of quantitative literacy and the application of quantitative approaches to the trainees' research. These training programs are intended to be 2 years in duration and support training of one or more of the following groups: dissertation stage predoctoral students in their 3rd and/or 4th year of graduate school, postdoctoral fellows and fellowship-stage clinicians. (NINDS does not support first or second year graduate students under this FOA).

This initiative is designed to promote discovery of cellular and molecular mechanisms that underlie brain blood vessels responses to passive anti-beta-amyloid immunotherapy that result in amyloid-related imaging abnormalities (ARIA). The goal is to establish an understanding of molecular mechanisms that can be targeted to protect the blood brain barrier (BBB), and thus the brain blood vessels, during therapeutic interventions that target beta-amyloid.

This Funding Opportunity Announcement (FOA) invites applications for the Alzheimers Disease (AD) and Alzheimers Disease-Related Dementias (ADRD) Real-World Data (RWD) Platform initiative. This Platform aims to transform the AD/ADRD research enterprise by serving as a central hub of research access that aims to: 1) improve applicability and generalizability of findings through larger datasets that include more diverse populations; 2) capture more complete information through linking a variety of data sources; 3) increase the speed at which scientific questions can be answered; and 4) improve researchers ability to answer questions that cannot be feasibly or readily answered via clinical trial.

The goal of this Notice of Special Interest (NOSI) is to enhance the sustainability and impact of research software tools by enabling the use of best practices and design principles in software development and leverage advances in computing in a modern data ecosystem. The supplements are intended to support and encourage collaborations between scientists and software engineers to update, refactor and enhance the design, implementation, and cloud-readiness of research software and build new communities for open science.

This Notice announces the availability of supplements to active grants which are intended to support collaborations that bring together expertise in biomedicine, data management, and artificial intelligence and machine learning (AI/ML) to make NIH-supported data useful and usable for AI/ML analytics. This initiative is aligned with the NIH Strategic Plan for Data Science, which describes actions aimed at modernizing the biomedical research data ecosystem and making data FAIR (Findable, Accessible, Interoperable, and Reusable) with high impact for open science. For the purposes of this Notice, AI/ML is inclusive of machine learning (ML), deep learning (DL), and neural networks (NN).

The purpose of this Funding Opportunity Announcement (FOA) is to solicit P20 planning grant applications for Climate Change and Health Research Centers (CCHRCs). This program will support the development of a transdisciplinary research environment to sustain a program of fundamental and applied research to examine the impacts of climate change on health and to develop action-oriented solutions to protect the health of individuals, communities, and nations from the hazards posed by climate change. This opportunity will allow development of new research teams collaborating with communities and other partners to develop projects that generate data that will build or expand research capacity across a range of thematic scientific areas in support of the four core tenets of the NIHs Initiative in climate heath research: health effects research, health equity, intervention research, and training and capacity building (https://www.nih.gov/sites/default/files/research-training/initiatives/c…).

The purpose of this Funding Opportunity Announcement (FOA) is to promote the discovery of strong candidate biomarkers or biomarker signatures for pain that can be used to facilitate the testing of non-opioid pain therapeutics in Phase II clinical trials.The biomarkers or biomarker signature will be developed through clinical research specifically focused on the identification of pain biomarkers or biosignatures that predict and/or monitor response to pain therapeutics. The resulting biomarkers or biomarker signatures may be focused on a single pain condition or on several pain conditions with common underlying pathophysiology. Applications to identify biomarkers or biomarker signatures that predict or monitor a therapeutic response across several related pain conditions should feature Multiple Principal Investigator (MPI)-led teams that represent each of the related pain conditions and associated clinical networks. The MPI-led teams are expected to decide upon a single set of measures or biomarker modalities (i.e., combination of omics, QST, actigraphy, EEG, digital measures, etc.) as components of the biosignature for all pain conditions represented in the application. Applications should feature centralized resource groups that will coordinate clinical trials and standardize all sample or data collection methods, technology development, statistical analysis and algorithm development across the pain conditions under investigation. Applications seeking to develop biomarkers or biomarker signatures that will be used to predict and/or monitor a therapeutic response for a single pain condition must also feature MPI-led teams that represent the cross functional expertise necessary for biomarker and/or signature development, along with the same types of centralized resource groups that coordinate clinical trials and standardize sample or data collection methods, technology development and statistical analysis.