- Country: USA
- Summary: Leveraging Existing Large Databases and Cohorts to Better Understand the Risks and Benefits of Long-Term Osteoporosis Therapy and Drug Holiday (R01 Clinical Trial not Allowed)
- UST Ref No: 54267030
- Deadline: 28 Oct 2021
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: RFA-AG-22-018
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- Description:
- Tender are invited for Leveraging Existing Large Databases and Cohorts to Better Understand the Risks and Benefits of Long-Term Osteoporosis Therapy and Drug Holiday (R01 Clinical Trial Not Allowed)
CFDA Number : 93.846 -- Arthritis, Musculoskeletal and Skin Diseases Research93.866 -- Aging Research
Cost Sharing or Matching Requirement : No
Closing Date for Applications: Oct 28, 2021
Posted Date : Jun 17, 2021
Description: This Funding Opportunity Announcement (FOA) solicits secondary analyses of existing datasets to provide evidence about appropriate strategies for long-term osteoporosis therapies, including drug holidays, and to better understand their risks and benefits. - Documents:
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CLICK HERE TO LOGINLeveraging Existing Large Databases and Cohorts to Better Understand the Risks and Benefits of Long-Term Osteoporosis Therapy and Drug Holiday (R01 Clinical Trial not Allowed) - USA Tender
The NATIONAL INSTITUTES OF HEALTH, a Government sector organization in USA, has announced a new tender for Leveraging Existing Large Databases and Cohorts to Better Understand the Risks and Benefits of Long-Term Osteoporosis Therapy and Drug Holiday (R01 Clinical Trial not Allowed). This tender is published on USARFP under UST Ref No: 54267030 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2021-10-28.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
