Stratification, Management, and Guidance of Hypertrophic Cardiomyopathy Patients Using Hybrid Digital Twin Solutions
NCT07131371 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 2500
Last updated 2025-08-27
Summary
The goal of SMASH-HCM is to develop a digital twin or virtual model of the heart and vascular system with sympathetic nerve control that integrates multi-scale and multi-organ spatiotemporal biophysical data from a multitude of sources. SMASH-HCM's digital twin powered platform will dramatically improve hypertrophic cardiomyopathy (HCM) patient stratification and disease management through stepwise deep phenotyping integrated in clinical and patient-guided workflows.
Conditions
- HCM - Hypertrophic Cardiomyopathy
Sponsors & Collaborators
-
University of Bologna
collaborator OTHER -
Universita Degli Studi di Firenze
collaborator UNKNOWN -
Rennes University Hospital
collaborator OTHER -
University of Milan
collaborator OTHER -
University College Dublin
collaborator OTHER -
Universitätsklinikum Hamburg-Eppendorf
collaborator OTHER -
Medtronic Bakken Research
collaborator INDUSTRY -
Pharmatics Limited
collaborator UNKNOWN -
University of Oxford
collaborator OTHER -
University of Rennes 2
collaborator OTHER -
Tampere University
lead OTHER
Principal Investigators
-
Jari Hyttinen, Professor · Professor
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-01-15
- Primary Completion
- 2026-12-31
- Completion
- 2028-12-31
Countries
- Finland
Study Locations
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