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Development and Validation of Models for Alzheimers Disease-Related Dementias (ADRD) (R61/R33 - Clinical Trial Not Allowed)

Sector: Hospital • Location: United States of America

Source: Grants.gov

Project
Closed

"This FOA would support development and validation of clinically relevant models of AD/ADRD including post-TBI dementias. Models could include small animals, larger animals, ex vivo models, human iPSCs, or other in vitro models. Validation includes internal, face, construct, and predictive (to the extent possible) validation. Such validations could include looking at underlying mechanism/pathways,

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The project “Development and Validation of Models for Alzheimers Disease-Related Dementias (ADRD) (R61/R33 - Clinical Trial Not Allowed)” is an infrastructure initiative in the Hospital sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Participants

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closed

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Description

Description

"This FOA would support development and validation of clinically relevant models of AD/ADRD including post-TBI dementias. Models could include small animals, larger animals, ex vivo models, human iPSCs, or other in vitro models. Validation includes internal, face, construct, and predictive (to the extent possible) validation. Such validations could include looking at underlying mechanism/pathways, functional imaging, behavior, and other cognitive readouts. Independent replication is also encouraged. These models can be developed/validated with the goal of supporting therapy development or better understanding of human disease mechanisms and mechanisms that uncover predisposition to developing neurodegenerative dementias. Either way, it is essential that models reflect the human condition as much as possible. Novel models of complex pathology or comorbid conditions are encouraged. Such models could include multiple manipulations (genetics, environment, lifestyle, age, etc.) to better reflect the complex interaction of risk factors in patients. New models need to be innovative and address a gap in the currently available models."

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Source reliability

High

Data quality score

100%

Source

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URL

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