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
"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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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
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." |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
