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Molecular Imaging of the Lung - Phase 2 (R01)

Sector: Government • Location: United States of America

Source: Grants.gov

Project
Archived

This Funding Opportunity Announcement (FOA) invites Research Project Grant (R01) applications to develop novel in vivo imaging technologies using molecular probes that target pathways or cells involved in the pathobiology of pulmonary diseases. The long-term goal of this program is to develop novel molecular imaging entities and approaches that facilitate early detection and diagnosis of lung dise

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The project “Molecular Imaging of the Lung - Phase 2 (R01)” is an infrastructure initiative in the Government sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Description

Description

This Funding Opportunity Announcement (FOA) invites Research Project Grant (R01) applications to develop novel in vivo imaging technologies using molecular probes that target pathways or cells involved in the pathobiology of pulmonary diseases. The long-term goal of this program is to develop novel molecular imaging entities and approaches that facilitate early detection and diagnosis of lung disease, enable noninvasive monitoring of lung disease progression and prognosis, and accelerate progress of cell-specific drug delivery and therapies.The previous FOA (RFA-HL-12-036 - Phase 1) supported projects to develop and validate innovative novel imaging agents and approaches that included target selection, probe development and production, and initial characterization of the probe. Phase 2 of this initiative will support studies that advance translation of identified probes and associated imaging approaches from animal models into applicability for human lung diseases. Phase 2 studies must include work performed in vivo using appropriate animal models of lung diseaseand studies using human tissues and/or cells. Applications proposing Investigational New Drug (IND)-enabling studies of novel probes and imaging approaches are encouraged. Applicants are not required to have been funded in Phase 1 (RFA-HL-12-036) in order to submit applications for Phase 2.

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High

Data quality score

100%

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