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

Canonical: https://abierto.us/opportunities/75n98026q00779

- Solicitation number: 75N98026Q00779
- Notice type: Presolicitation
- Status: Closed. Deadline was July 23, 2026 at 9:00 AM EDT
- Department: Department of Health and Human Services
- Agency: National Institutes of Health
- Contracting office: National Institutes of Health Olao (75N980)
- NAICS: 611310 Colleges, Universities, and Professional Schools
- Product or service code: R799 Other Management Support Services
- Place of performance: Bethesda, Maryland
- First posted: July 13, 2026
- Last posted: July 13, 2026
- SAM.gov: https://sam.gov/workspace/contract/opp/b100bda4efeb4d2c85041452b46f76b4/view

## Description

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.

## Publications

- July 13, 2026: Presolicitation, due July 23, 2026 at 9:00 AM EDT. Notice b100bda4efeb4d2c85041452b46f76b4. https://sam.gov/workspace/contract/opp/b100bda4efeb4d2c85041452b46f76b4/view

## Points of contact

- LAW, JAMES B, james.law@nih.gov

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