Neuro-Glia Computational Mechanisms Governing Complex Behaviors
Purpose
Background and Rationale
Purpose
Background and Rationale
The purpose of this Notice of Special Interest (NOSI) is to encourage grant applications to support the evaluation of the utility and validity of digital health and artificial intelligence (AI) tools and technologies in epidemiological, clinical, and intervention research. The intent is to support the addition of new measurement modalities to evaluate existing and recently developed but not yet validated digital health and AI tools such as sensor technologies, smartphone applications, software as a medical device (SaMD), and AI algorithms.
NIH would like to understand how damage-associated molecules from different joint tissues activate pain neurons. Please consider helping by responding to this RFI.
The purpose of the Funding Opportunity Announcement (FOA) is to support research that employs systems biology approaches to human pathogens. The approach will generate and integrate large datasets into models that guide in vitro, in vivo and clinical studies, with the goals of predicting disease severity, predicting responses to vaccines and therapeutics, and identifying candidate targets for interventions.
This Notice is a Request for Information (RFI) inviting feedback on the approaches NIH can take to advance racial equity, diversity, and inclusion within all facets of the biomedical research workforce, and expand research to eliminate or lessen health disparities and inequities.
Review of this entire RFI notice is encouraged to ensure a comprehensive response is prepared and to have a full understanding of how your response will be utilized.
Dear Colleagues,
A new program solicitation (RFA-AI-21-021) is now available:
Dear Colleagues,
A new program solicitation (RFA-AI-21-020) is now available:
Dear Colleagues,
A new program solicitation (RFA-AI-21-035) is now available:
These Funding Opportunity Announcements (FOA) solicits Phase I (R43) SBIR and Phase I (R41) STTR grant applications from small business concerns (SBCs) to develop promising methodologies using Artificial Intelligence (AI) and Machine Learning (ML) approaches to advance environmental health research and decisions.