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This Award Notice opportunity from Florida was posted on June 3, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Integrative Real-World Data and AI for Identifying Alzheimer

Awarded
26A11State & Local

Contract Overview

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This financial assistance contract, identified as solicitation 26A11, is an agreement between the Florida Department of Health and the University of Florida Board of Trustees to support the Ed and Ethel Moore Alzheimer’s Disease Research Program. The project, titled Integrative Real-World Data and AI for Identifying Alzheimer’s Disease Progression Rate-based Sub-phenotypes and Associated Risk Factors, is led by Principal Investigator Yonghui Wu, PhD. The research focuses on utilizing artificial intelligence and real-world data to better understand the progression rates and risk factors associated with Alzheimer's disease. The contract provides total funding in the amount of 349,897.00 dollars. The established performance period for the project begins on July 1, 2026, and concludes on December 31, 2028. This award was issued under the guidelines of the Alzheimer’s Disease Research Grant Advisory Board Grant Program, which establishes priority research areas and eligibility requirements for funding aimed at advancing Alzheimer's disease research.

General Info

Florida Health funds UF $349,897 for AI Alzheimer's research from 2026 to 2028.

Contract Value

$349,897

NAICS

N/A

Place of Performance

FL, USA

Set-Aside

NONE

Award Issued Date

Documents

2
PDF, High priority: read this firstrfp
High
PDF, High priority: read this firstcontract-document
High

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Timeline

PhaseAwarded
Posted

Award Notice

Awarded

Contract was awarded

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Organization & Contact Information

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AgencyFlorida → Department Of Health
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Ed and Ethel Moore Alzheimer’s Disease Research Program. PROJECT TITLE: Integrative Real-World Data and AI for Identifying Alzheimer’s Disease Progression Rate-based Sub-phenotypes and Associated Risk Factors. PRINCIPAL INVESTIGATOR: Yonghui Wu, PhD

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