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NOT YET RECRUITING
NCT07430501

Using Digital Twin Technology and Clinical Decision Support Systems to Improve the Early Detection, Personalised Treatment, and Long-term Monitoring of Patients Across the Full Spectrum of Metabolic-associated Fatty Liver Disease (MAFLD).

Sponsor: Hospital Universitari Vall d'Hebron Research Institute

View on ClinicalTrials.gov

Summary

The goal of this observational study is to create a detailed virtual model to better understand how Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) develops. This model will also help predict heart problem at different stage of the disease.

Official title: AcceleRating the Translation of Virtual Twins Towards a pErsonalised Management of Steatotic Liver Patients

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

7720

Start Date

2026-02-23

Completion Date

2027-09-02

Last Updated

2026-02-24

Healthy Volunteers

Yes

Interventions

OTHER

Data recollection

Only data recollection for their use in the training, testing and early validation of computational models (but no other intervention) will be performed.

Locations (1)

Vall d´Hebron Institute de Recerca (VHIR)

Barcelona, Barcelona, Spain