NSF award 2530226 · University of Minnesota-Twin Cities

CISE-ANR: IIS: Small: Federated Learning for AI-driven Rare Disease Recognition for Ciliopathies

Final report due

31 May 2029

in 956 days · The award ends on 31 January 2029.

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Decide about an extension3 Oct 2028in 716 days
award ending 2029-01-31 · Research.gov
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Extension request17 Dec 2028in 791 days
award ending 2029-01-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jan 2029in 826 days
award ending 2029-01-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due31 May 2029in 956 days
award ending 2029-01-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due31 May 2029in 956 days
award ending 2029-01-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out31 May 2029in 956 days
award ending 2029-01-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 January 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 31 May 2029.

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Award card

Award number: 2530226
Period of support: 1 Feb 2026 – 31 Jan 2029
Amount: $600,000
Awardee: University of Minnesota-Twin Cities, Minneapolis, MN
Program: Info Integration & Informatics
Directorate: CSE

Abstract

Rare diseases are individually rare, yet collectively affect millions of individuals worldwide. They pose persistent diagnostic challenges due to variability in clinical presentations, limited clinical expertise outside specialized centers, and fragmented patient data. These challenges are further compounded by small and geographically dispersed patient cohorts and strict privacy and regulatory constraints that…

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