Simpler Grants.gov #RFA-AI-28-014

NIH Forecast: Precision Systems Biology Research on Chronic and Infectious Disease Links

This opportunity is a forecasted research funding announcement from the National Institutes of Health (NIH), specifically the National Institute of Allergy and Infectious Diseases (NIAID): - Government Buyer: - National Institutes of Health (NIH) - National Institute of Allergy and Infectious Diseases (NIAID) - Purpose: - Support multidisciplinary, consortium-based research projects - Focus on precision systems biology to study links between chronic illnesses, infectious diseases, and microbiomes - Technologies and Approaches: - Use of multi-omics, computational modeling, artificial intelligence (AI), and organoid-based validation systems - Integration of real-world data, including digital health records and clinical informatics tools - Funding Details: - Estimated total program funding: $17,500,000 - Approximately 10 awards expected - Eligibility: - Open to government entities, educational institutions, nonprofits, businesses, and non-U.S. organizations - Notable Requirements: - No specific OEMs or vendors named; this is a research grant, not a product procurement - Projects must be consortium-based and multidisciplinary - Emphasis on advanced, integrative technologies and real-world data - Assistance Listings: - 93.855 (Allergy and Infectious Diseases Research) - 93.866 (Aging Research)

Description

The National Institute of Allergy and Infectious Diseases (NIAID) is seeking to support multidisciplinary, consortium-based research using precision systems biology approaches to uncover links among chronic illnesses, infectious diseases, and microbiomes. The research aims to understand pathways by which infections lead to chronic health issues or how long-term illnesses might affect acute infections. The project will utilize cutting-edge technologies such as multi-omics, computational modeling, artificial intelligence, and organoid-based validation systems, along with longitudinal patient cohorts and biobank data. The goal is to generate insights into disease progression and host-pathogen interactions to advance prevention and treatment strategies.

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