Precision and Systems Biology to Uncover the Link Between Chronic and Infectious Diseases
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The National Institute of Allergy and Infectious Diseases seeks to support multidisciplinary, consortium-based research utilizing precision systems biology to explore the relationships between chronic illnesses, infectious diseases, and microbiomes. The primary objective is to understand how infections contribute to lifelong health issues and how chronic conditions influence susceptibility to acute infections. This initiative aims to leverage longitudinal patient cohorts and biobank data to analyze genetic, environmental, and lifestyle factors, ultimately improving prevention and treatment strategies. To achieve these goals, the program will employ advanced technologies including multi-omics, artificial intelligence, computational modeling, and organoid-based validation systems. The project also emphasizes the integration of real-world data, digital health records, and clinical informatics to gain insights into host-pathogen interactions and disease progression. This forecast is issued by the National Institutes of Health under the Department of Health and Human Services, with the NIAID OGAT serving as the primary point of contact.
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Full Description
The National Institute of Allergy and Infectious Diseases (NIAID) seeks to advance its mission by supporting multidisciplinary, consortium-based research using precision systems biology approaches to uncover links among chronic illnesses, infectious diseases and microbiomes. There is an urgent scientific and clinical need to understand the pathways by which infections lead to chronic lifelong health issues or alternatively, how long-term illnesses might predispose or exacerbate acute infections. The objective is to harness cutting-edge technologies along with longitudinal patient cohorts and biobank data for comprehensive analysis of genetic, environmental, and lifestyle factors leading to advances in prevention and treatment strategies for both chronic and infectious diseases. The cutting-edge technologies may include multi-omics, computational modeling, artificial intelligence, organoid-based validation systems, and integration of real-world data, alongside improved access to digital health records and advanced clinical informatics tools. The goal is to generate meaningful insights into disease progression and host-pathogen interactions. Grant authorities that allow NIAID to forecast this opportunity are as follows: Sections 301 and 405 of the Public Health Service Act as amended (42 USC 241 and 284) and under Federal Regulations 42 CFR Part 52 and 2 CFR Part 200.
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