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Critical Illness and Injury in Aging (R03)

Sector: Education • Location: United States of America

Source: Grants.gov

Project
Archived

Purpose. This FOA encourages Small Research Project Grant (R03) applications proposing to study mechanisms and management of critical illness and injury in aging. Studies may be mechanistic, observational, or interventional in nature. Secondary analyses of existing datasets, such as from large observational studies or clinical trials, may be proposed. Animal studies are appropriate in cases where

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The project “Critical Illness and Injury in Aging (R03)” is an infrastructure initiative in the Education sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

Purpose. This FOA encourages Small Research Project Grant (R03) applications proposing to study mechanisms and management of critical illness and injury in aging. Studies may be mechanistic, observational, or interventional in nature. Secondary analyses of existing datasets, such as from large observational studies or clinical trials, may be proposed. Animal studies are appropriate in cases where human studies are not feasible. Mechanism of Support. This FOA will utilize the NIH Small Research grant mechanism (R03) and runs in parallel with a FOA of identical scientific scope, PA-10-042, that encourages applications under the R01 Research Project grant mechanism, and PA-10-044, that encourages applications under the R21 Exploratory/Developmental grant mechanism. This FOA also runs in parallel with an FOA of similar scientific scope, PA-10-045, which encourages applications under the R34 clinical trial planning grant mechanism. Funds Available and Anticipated Number of Awards. Because the nature and scope of the proposed research will vary from application to application, it is anticipated that the size and duration of each award will also vary. The total amount awarded and the number of awards will depend upon the mechanism numbers, quality, duration, and costs of the applications received.

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Source reliability

High

Data quality score

100%

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