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
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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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