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  4. ›Viral INfections in the Young Lung- The VINYL Clinical…

U.S. National Institutes of Health·United States of America

Viral INfections in the Young Lung- The VINYL Clinical Consortium- Data Analytics and Coordinating Center (DACC)(U24 Clinical Trial Optional)

Closes 11/10/2025$5M – $20MGrants Notice
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Description

The National Heart, Lung and Blood Institute (NHLBI) seeks to advance its mission by supporting a consortium to phenotype 0-2 year old children with severe viral lower respiratory tract infections (LRTI) with follow up until pre-school age for pulmonary sequelae. The consortium will include a Data and Analytics Coordinating Center (DACC), a Clinical Coordinating Center (CCC), a Biorepository, and four Clinical Centers (CCs). The objective of this program is to create a comprehensive understanding of the condition, predict its severity, and understand the reasons for hospitalization. Key aspects of the job include: • Phenotyping 0-2 year old children with severe viral LRTI • Follow-up until pre-school age for pulmonary sequelae • Understanding the immature host respiratory immune response to viral infection • Understanding the heterogeneity in response to different viruses • Current interventions and significant practice variation in diagnosis and management • Subsequent impact on lung health

Attached files

Contact

[email protected]

Key dates

Opened
7/8/2025
Closes
11/10/2025
Projected award
5/1/2026

Last updated

Details

Type
Grants Notice
Industry
Healthcare and Medical Services
NAICS
541710
Solicitation №
RFA-HL-26-008

Budget estimate

$5,000,000 – $20,000,000

The estimated budget for this opportunity is difficult to determine, but based on the scope of the project, which includes a consortium of clinical sites, a data analytics and coordinating center, and follow-up until pre-school age, the estimated cost could be in the range of $5 million to $20 million. This estimate is based on the assumption that the project will require significant resources, including personnel, equipment, and facilities, to achieve its objectives. Factors that may influence the likely payment range include the number of clinical sites, the complexity of the research, and the duration of the follow-up period.

AI estimate from the solicitation

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