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).

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.

NCT Number	NCT07430501
Lead Sponsor	Hospital Universitari Vall d'Hebron Research Institute Collaborators: Matical Innovation SL, Assistance Publique - Hôpitaux de Paris, Jena University Hospital, Institut National de Recherche en Informatique et en Automatique, German Cancer Research Center, MEDEX, EUROPEAN LIVER PATIENTS ASSOCIATION, Betthera s.r.o., Bournemouth University, University Hospital Heidelberg, Fundacion Para La Investigacion Hospital La Fe, University of Roma La Sapienza, Charite University, Berlin, Germany, Medical University of Vienna, Saint-Luc University Hospital, University of Freiburg, University of Leipzig, Sheba Medical Center, Imperial College London
Conditions	Metabolic Dysfunction-Associated Steatotic Liver Disease
Enrollment	7,720 participants
Start Date	2026-02-23
Primary Completion	2026-06-02 (estimated)
Study Completion	2027-09-02 (estimated)
Updated on ClinicalTrials.gov	2026-02-24