AN12--Machine Learning Analytics for Total Brain Diagnostics Project
Closed Special Notice Posted
- Solicitation number
- 36C24E26Q0093
- Agency
-
Veterans Integrated Service Network 4
Veterans Health Administration, Department of Veterans Affairs
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- 541720 Research and Development in the Social Sciences and Humanities
- Points of contact
Notice details come from SAM.gov. Updated .
About this opportunity
The Department of Veterans Affairs issued a pre-solicitation notice on August 11, 2026, announcing its intent to award a sole-source contract to Oregon Health & Science University (OHSU) Research & Development for machine learning and large language model services supporting the VA Portland Healthcare System's Total Brain Diagnostics research project, with a response deadline of August 17, 2026. The one-year contract will be awarded without competitive solicitation under 38 U.S.C. 8153, which authorizes sole-source awards for research conducted with VA academic affiliates.
OHSU's Center for AI-enabled Learning Health Science (CAILHS), located at 3181 S.W. Sam Jackson Park Road, Portland, Oregon, is identified as the only center in Oregon with the capacity to conduct the required work. The scope encompasses advanced machine learning algorithm development, validation of analytic decisions, physiologic and biometric machine learning expertise, and development of interactive and static data visualizations for impact dashboards. Work will be performed in close collaboration with VA operations partners.
The inability to procure these services from CAILHS would be detrimental in both cost and performance. OHSU is the primary academic affiliate of the VA Portland Healthcare System. The applicable NAICS code is 541720 (Scientific Research and Development Services) with a $28 million size standard; PSC is AN12. No solicitation will be posted to SAM.gov. Interested parties may contact Ann Marie Stewart, Contracting Officer, at annmarie.stewart@va.gov. The determination to conduct a competitive procurement based on responses to this notice remains solely within the Contracting Officer's discretion.
Notice text
Pre-Solicitation Notice for notice of intent to award a sole source contract. This is not a solicitation. The Department of Veterans Affairs intends to negotiate a sole source contract for one (1) year to the Oregon Health & Science University (OHSU), Research & Development located at 3181 S.W. Sam Jackson Park Rd., Portland, OR 97239 to provide Machine Learning (ML) and Large Language Model (LLM) services to the VA Portland Healthcare System for Total Brain Diagnostics research. This acquisition requires advanced machine learning algorithm development, validation of analytic decisions, physiologic and biometric machine learning expertise, and development of interactive and static data visualizations for impact and data dashboards through close collaboration with operations partners.
The newly established Center for AI-enabled Learning Health Science (CAILHS) is the only center in Oregon that has the capacity to conduct this work. The inability to use the unique services that only CAILHS at OHSU can provide would be detrimental in terms of cost and ability to perform Total Brain Diagnostics research. OHSU is the primary academic affiliate of the VA Portland Healthcare System. 38 U.S.C. 8153 allows for sole source awards related to research with VA academic affiliates.
Since the intent is to procure this on a sole source basis, no solicitation will be posted to Contract Opportunities on SAM.gov. The applicable NAICS code is 541720 with a $28 MIL size standard. The PSC is AN12. The authority for this action is RFO 6.103.5 Authorized or Required by Statute. Interested persons may contact the Contracting Officer via email at annmarie.stewart@va.gov regarding this procurement. The determination to conduct a competitive procurement based on responses to this notice is solely within the discretion of the Contracting Officer.
Files
| File | Type | Posted |
|---|---|---|
| 36C24E26Q0093.docx | DOCX document |
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