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Accelerating Risk-of-Bias (RoB) Assessment in Environmental Health Studies Using Large Language Models

Award Number: R43ES037589
ORGANIZATION: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 06/02/2025
PERIOD OF PERFORMANCE END DATE: 05/31/2027

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Accelerating Risk-of-Bias (RoB) Assessment in Environmental Health Studies Using Large Language Models - Grant No: 1R43ES037589-01 PI Name : Agai, Eitan Project Summary PICO Portal, Inc. proposes the development and rigorous evaluation of advanced AI-driven tools to automate, increase efficiency, and reduce the costs of conducting Risk-of-Bias (RoB) assessments in environmental health systematic reviews (SRs). SRs are the Gold Standard for synthesizing evidence to inform decision-making in environmental health, healthcare, health policy, and social science. However, these reviews are resource-intensive, requiring significant investments of time, expertise, and financial resources, particularly for tasks such as RoB assessments and data extraction. This project aims to utilize the capabilities of large language models (LLMs), such as Meta AI's LLaMA, OpenAI’s GPT, and Anthropic’s Claude, to address these challenges. Specifically, we will focus on developing, fine-tuning, and validating LLM-based workflows to accurately identify and extract critical text passages from studies related to per- and polyfluoroalkyl substances (PFAS). We aim to refine the model through iterative testing and optimization until its performance closely mirrors that of human experts. Achieving a high level of agreement between AI-extracted passages and those identified by trained professionals is crucial to ensuring that the model is not only accurate but also reliable and effective in real-world applications. The successful implementation of this project will increase efficiency and reduce costs for conducting SRs in environmental health. Furthermore, this innovation could extend beyond environmental health to other fields such as healthcare, health policy, and social science. It could also benefit any review process, including scoping the literature, identifying research gaps for funding agencies, and conducting competitive intelligence for the private sector.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $0 )
2026	2025	PICO PORTAL, INC.	136 4TH ST N	SAINT PETERSBURG	FL	33701	PINELLAS	USA	Environmental Health	000	1	3/5/2026	NEW	$0
														Subtotal = $0

Issue Date FY: 2025 ( Subtotal = $306,872 )
2025	2025	PICO PORTAL, INC.	136 4TH ST N	SAINT PETERSBURG	FL	33701	PINELLAS	USA	Environmental Health	000	1	6/2/2025	NEW	$306,872
														Subtotal = $306,872

Grand Total All Awards = $306,872

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Accelerating Risk-of-Bias (RoB) Assessment in Environmental Health Studies Using Large Language Models

Award Number: R43ES037589

ORGANIZATION: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 06/02/2025

PERIOD OF PERFORMANCE END DATE: 05/31/2027

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