Non-Invasive Diagnostics to Improve Gynecologic Health (R43/R44 - Clinical Trial Optional)
Sector: Hospital • Location: United States of America
Source: Grants.gov
The purpose of this FOA is to encourage small businesses to collaborate with scientists and clinicians in the field of gynecologic health to develop, advance, and validate new devices and methods for non-invasive diagnosis of endometriosis, adenomyosis, and/or uterine fibroids. Projects supported will aim to shorten the time to diagnosis, decrease the invasiveness of current techniques, and/or imp
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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 | The purpose of this FOA is to encourage small businesses to collaborate with scientists and clinicians in the field of gynecologic health to develop, advance, and validate new devices and methods for non-invasive diagnosis of endometriosis, adenomyosis, and/or uterine fibroids. Projects supported will aim to shorten the time to diagnosis, decrease the invasiveness of current techniques, and/or improve accessibility, safety, convenience, and costs of diagnosis. |
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 |
