Solicitation · ARPA-H-SOL-26-163
Systems for Phenotypic Evaluation, Clinical Trajectories, Response, and Agency (SPECTRA)
National Institutes of Health · Washington, DC
- Agency
- National Institutes of Health FederalAdvanced Research Projects Agency for Health (Arpa-H)
- Place
- Washington, DC
- Offers due
- December 2, 2026, 3:00 PM (ET) closes in 22 days
- Estimated value
- not stated
- Notice type
- Solicitation
- Category
- Consulting and research
- Product service code (PSC)
- AN13
- Posted
- November 9, 2026
- Solicitation number
- ARPA-H-SOL-26-163
Opens the notice on SAM.gov, with its attachments and how to respond.
Source: SAM.gov Contract Opportunities, the U.S. government's official list of federal contract opportunities.
Description
Amendment 3 (11/09/2026): ISO updates to Part II - Technical Areas & Requirements: TA1: Edits to the "Target" language for the Retrospective Data Access metric. Amendment 2 (10/29/2026): Numerous changes including, but not limited to,: ISO updates in Parts I, II, III and VI; TA1 clarifications; TA2 updates; TA4 updates; Q&A link added Provides Attachment B1 for TA4 Proposal Requirements and Proposal Volume Templates. Provides Attachment A2 for TA1 Solution Summary Requirements and Attachment A3 for TA2 Solution Summary Requirements. Amendment 1 (10/14/2026): Update due dates and/or times of all TAs SPECTRA will identify and act on autism trajectories, the evolving developmental paths individuals follow across the lifespan from the prenatal period through aging, spanning autism characteristics, co-occurring conditions, and functional outcomes together with the genetic, biological, behavioral, iatrogenic (medical influences), environmental factors and their nonlinear interactions. Rather than examining these factors in isolation, SPECTRA will examine how they combine and interact, including their nonlinear interactions, to produce autism and its co-occurring conditions over time. SPECTRA will also develop technologies that serve two purposes at once: extending reliable assessment beyond the clinic while improving everyday communication, function, and quality of life. The same tools people use to live more fully will also generate the data that drive measurement and personalized care.
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