Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01)
Sector: Commercial • Location: United States of America
Source: Grants.gov
Purpose. This funding opportunity announcement (FOA) is designed to promote research on quantitative imaging of tumor response to cancer therapies in clinical trial settings, with the overall goal of facilitating clinical decision making.Proposed projects should include the appropriate development and adaptation/implementation of quantitative imaging methods, protocols and software solutions/tools
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
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 | Purpose. This funding opportunity announcement (FOA) is designed to promote research on quantitative imaging of tumor response to cancer therapies in clinical trial settings, with the overall goal of facilitating clinical decision making.Proposed projects should include the appropriate development and adaptation/implementation of quantitative imaging methods, protocols and software solutions/tools (using existing commercial imaging platforms and instrumentation), and their application in current and planned Phase 1-2 clinical therapy trials.No support for the clinical trials, as such, will be provided under this FOA.The proposed projects must focus on imaging-derived quantitative measurements of responses to drugs and/or radiation therapy, and/or image-guided interventions.It is anticipated that these research goals will require multidisciplinary efforts. Therefore, this FOA solicits applications from multi-disciplinary teams to include oncologists as well as clinical and basic imaging scientists.The involvement of industrial partners in the development of the quantitative imaging methods is not required, but is strongly encouraged.Awardees will form a Quantitative Imaging Network (QIN) to share ideas and approaches to validate and standardize imaging data and related imaging metadata for quantitative measurements of responses to cancer therapies. |
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 |
