OpportunityTitle: Application of Artificial Intelligence and Machine Learning for Advancing Environmental Health Sciences  (R43 Clinical Trial Not Allowed)
AdditionalInformationOnEligibility: Other Eligible Applicants include the following: Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply.  Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.  Foreign components, as defined in the NIH Grants Policy Statement, may be allowed.
Description: This Funding Opportunity Announcement (FOA) solicits Phase I (R43) SBIR 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. When further developed and validated, these methodologies or approaches should improve the accuracy of toxicity prediction, help in prioritizing chemicals for more relevant or targeted testing, identify and/or fill data or knowledge gaps in toxicity assessment, and promote more comprehensive understanding of human exposure effects, susceptibility and adverse health outcomes.
GrantorContactEmailDescription: If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
GrantorContactText: NIH OER Webmaster&lt;br/&gt;FBOWebmaster@OD.NIH.GOV