Multilevel modelling for decision support in hypertrophic cardiomyopathy in the SMASH-HCM project

• Hoofdauteurs: Alpo Olavi Värri (Auteur), Mark van Gils (Auteur), Jari Hyttinen (Auteur)
• Formaat: Boek
• Gepubliceerd in: Finnish Social and Health Informatics Association, 2024-05-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.
• Notes: 1798-0798
• Keywords: hypertrophic cardiomyopathy; modelling; artificial intelligence; decision support; Computer applications to medicine. Medical informatics; R858-859.7; Public aspects of medicine; RA1-1270
• Source: Finnish Journal of eHealth and eWelfare, Vol 16, Iss 2 (2024)

Hypertrophic cardiomyopathy (HCM) is the most common inherited genetic heart disease, and its most feared outcome is a sudden death even in a young otherwise healthy adult. The EU-funded project SMASH-HCM aims at dramatically improving HCM stratification and disease management, both for clinicians and patients. The project combines data from the patients at multiple levels, from genetic and molecular data to in-silico physiological and family history data and creates in-vitro and computational models of the disease at these various levels. A digital twin of the patient will be formed based on these data modelling tasks. Modelling approaches, data-driven artificial intelligence and knowledge existing in literature will complement each other to provide decision support for the clinicians to optimize interventions, and actionable information about the disease status and development will be offered to the patient.