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NIH funding notice RFA-DA-24-008

Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R01 Clinical Trials Not Allowed)

Closed on August 10, 2023.

Posted
February 23, 2023
Close date
August 10, 2023
Activity codes
Not stated on the notice page
Institutes taking part
Not stated on the notice page

Read the notice on Grants.gov · NIH Guide page

The notices it replaced

Its page was not saved, so the notices it replaced are not known.

Who won it before

1 competing award (new and renewals) from FY2014 to FY2025 under this notice and the notices it replaced: $508,201 in first-year total cost, median $508,201.

Most frequent study sections

  1. Special Emphasis Panel[ZLM1 AS-C (01)]1

Most frequent institutions

  1. CEDARS-SINAI MEDICAL CENTER1
Competing awards under RFA-DA-24-008 and the notices it replaced
FYProjectPIsInstitutionFirst-year costStudy section
2024Knowledge-guided automated machine learning methods for modeling the interaction of HIV with addictive drugs1R01LM014572-01MOORE, JASON H.CEDARS-SINAI MEDICAL CENTER, CA$508,201ZLM1

Data: Grants.gov's daily extract and NIH's notice pages and award files, in ScienceGraph release conductgrants-2026-11-09-0.1.0. An award is listed only where NIH's own record names the notice, and a PI only by NIH's profile ID. Grants.gov and NIH do not endorse ScienceDex.

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RFA-DA-24-008: Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R01 Clinical Trials Not Allowed) | ScienceDex | ConductScience