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Artificial Intelligence and Radiomics to Predict Tender - 145319873

The HEALTH AND HUMAN SERVICES, DEPARTMENT OF | NATIONAL INSTITUTES OF HEALTH has issued a Tender notice for the procurement of a Artificial Intelligence and Radiomics to Predict Hepatocellular Carcinoma Risk in Cirrhosis Patients in the USA. This Tender notice was published on 17 Jul 2026 and is scheduled to close on 23 Jul 2026, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 145319873, while the tender notice number is 75N98026Q00779 and Registering on the platform.

Expired Tender

Procurement Summary

Country: USA

Summary: Artificial Intelligence and Radiomics to Predict Hepatocellular Carcinoma Risk in Cirrhosis Patients

Deadline: 23 Jul 2026

Posting Date: 17 Jul 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 145319873

Document Ref. No.: 75N98026Q00779

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

The mission of the National Institute of Diabetes and Digestive and Kidney Diseases is to conduct and support medical research and research training and to disseminate science-based information on diabetes and other endocrine and metabolic diseases; digestive diseases, nutritional disorders, and obesity; and kidney, urologic, and hematologic diseases to improve people-s health and quality of life.
The Liver Diseases Branch is conducting research using radiographic imaging and artificial intelligence to evaluate liver cancer risk in patients with advanced liver disease or cirrhosis. Funding for this effort was awarded through the Bench-to-Bedside and Back Award Program (Award Number 1517448). A portion of the awarded funding will be used to acquire a clinical patient cohort, associated radiographic imaging datasets, and de-identified radiology reports from the University of Pennsylvania.
The research focuses on the use of imaging data and artificial intelligence to improve prediction of liver cancer risk, evaluate liver cancer recurrence following curative therapy, and support translational research related to liver disease and liver cancer. To support these research objectives, the University of Pennsylvania will provide a clinical cohort of patients who underwent liver transplantation for hepatocellular carcinoma, together with associated magnetic resonance imaging studies, radiology reports, and related clinical data necessary for research analysis and model development.
Notice ID: 75n98026q00779

Department/Ind. Agency: health and human services, department of

Sub-tier: national institutes of health

Office: national institutes of health olao

Product Service Code: r799 - support- management: other

NAICS Code: 611310 - Colleges, Universities, and Professional Schools

Inactive Dates: aug 07, 2026

Inactive Policy: 15 days after response date

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