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Data Analytics and AI-Driven Biomarker Interpretation

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Contract Overview

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This contract involves the application of advanced AI and machine learning techniques to analyze proteomic data with the goal of identifying protein signatures that can predict treatment responses in patients with metastatic prostate cancer. The contractor is expected to develop and deliver clinical decision-support reports based on these analyses, which will aid healthcare providers in making more informed treatment choices. The work is focused on improving biomarker interpretation through data analytics, enhancing precision medicine approaches within this specific patient population. The subcontract is issued by the Department of Veterans Affairs under the 245-NETWORK Contract Office 5 (36C245) and falls under the NAICS code 541690, which pertains to scientific and technical consulting services. The opportunity was posted on June 11, 2026, with a response deadline of June 26, 2026. The place of performance is Washington, D.C., with the ZIP code 20422. This initiative supports the integration of cutting-edge computational tools into clinical workflows to support veterans affected by metastatic prostate cancer.

General Info

Develop AI to analyze proteomic data, predict treatment, and support metastatic prostate cancer clinical decisions.

Agency

Department Of Veterans Affairs → 245-NETWORK Contract Office 5 (36C245)

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

Washington, DC, 20422, USA

Set-Aside

NONE

Documents

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → 245-NETWORK Contract Office 5 (36C245)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Veterans Affairs → 245-NETWORK Contract Office 5 (36C245)
Office AddressN/A
ContactsNo contact information available

Full Description

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Analyze proteomic data using AI and machine learning to identify protein signatures predictive of treatment response in metastatic prostate cancer and deliver clinical decision-support reports.

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