Firm fixed price award towards ML-powered, efficient and robust inference of average and individual treatment effects for novel clinical trials in rare diseases contracting officer representative:…

Active Definitive Contract Awarded Last action

Contract number
75F40126C00181
Awardee
Awarding agency
Obligated
$1,256,810

Award facts

Contract value 100% obligated
$1,256,810.00 Current and potential, with all options
Completion date 1% complete
Current and potential, with all options
Contracting staff
Set-aside
No set-aside
Competition
Full and Open Competition · 1 offer Basic Research
Pricing
Firm Fixed Price
Place of performance
Silver Spring, MD 20993, USA
Legislative mandates

Award details come from SAM.gov/FPDS.

About this award

The Food and Drug Administration awarded a $1.256 million definitive contract to Duke University for machine learning-powered inference of average and individual treatment effects for novel clinical trials in rare diseases on September 30, 2026.

The contract is firm fixed price with no set-aside. Work is performed in Silver Spring, MD, with an ultimate completion date of September 29, 2030. The originating solicitation describes development of ML-driven statistical methods to support treatment effect estimation in rare disease clinical trial design and analysis, advancing FDA's regulatory science capabilities for expedited drug development pathways in orphan indications.

Description

Firm fixed price award towards ML-powered, efficient and robust inference of average and individual treatment effects for novel clinical trials in rare diseases contracting officer representative: deborah elliott telephone: (240) 397-3022 debo

Quick answers

Who was awarded contract 75F40126C00181?

75F40126C00181 was awarded to Duke University by Food and Drug Administration (Department of Health and Human Services) on September 30, 2026.

How much is contract 75F40126C00181 worth?

The government has obligated $1,256,810 on 75F40126C00181.

Was contract 75F40126C00181 competed?

The extent of competition for 75F40126C00181 was full and open competition. The government received 1 offer.

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