Clinical Research Directory
Browse clinical research sites, groups, and studies.
Digital Pathology and AI for Liver Outcomes in MASLD (DPAILO-2)
Sponsor: PharmaNest, Inc
Summary
The aim of this multi-center, retrospective epidemiologic study is to confirm the prognostic performance of the Digital Pathology (DP) FibroNest Phenotypic Fibrosis Composite Score (Ph-FCS), derived from standard digital pathology liver biopsy images, in predicting clinical hepatic decompensation events in patients with metabolic dysfunction-associated steatohepatitis (MASH).
Official title: Epidemiologic Liver Outcomes Retrospective Study to Confirm The Prognostic Value of the FibroNest Digital Pathology Fibrosis Biomarker (Ph-FCS) in Patients With MASLD (DPAILO-2)
Key Details
Gender
All
Age Range
18 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
1519
Start Date
2025-09-01
Completion Date
2026-03-15
Last Updated
2026-08-21
Healthy Volunteers
Not specified
Interventions
Digital Pathology FibroNest Phenotypic Fibrosis Composite Score (Ph-FCS)
Biomarker name: FibroNest Phenotypic Fibrosis Composite Score Acronym: FibroNest Ph- FCS Type of Biomarker: Histologic based, Digital, Quantitative Image Analysis, Imaging modality Definition: A quantitative, normalized (no unit) and continuous composite
Locations (1)
Virginia Commonwealth University
Richmond, Virginia, United States