Application of Artificial Intelligence and Machine Learning for Advancing Environmental Health Sciences

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. 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.

  • RFA-ES-21-002 – Application of Artificial Intelligence and Machine Learning for Advancing Environmental Health Sciences (R43 Clinical Trial Not Allowed) and
  • RFA-ES-21-003 – Application of Artificial Intelligence and Machine Learning for Advancing Environmental Health Sciences (R41 Clinical Trial Not Allowed)
  • Letter of Intent due date: February 28, 2021
  • Application due date: March 29, 2021 • 5:00 p.m., local time of applicant organization

National Institute of Environmental Health Sciences (NIEHS) intends to commit $2M to fund 6-8 SBIR Phase I (R43) awards and $1M to fund 3-4 STTR Phase I (R41) awards.

Activity Code (e.g., RO1, U01)
R41 and R43
Funding Announcement Number
RFA-ES-21-002 and RFA-ES-21-003
Posted Date
Expiration Date
Letter of Intent Due Date
Application Due Date <br> (You may list multiple Application Due Dates)
Participating Organizations
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