SOURCE-LINKED INTELLIGENCE
Stratification, Management, and Guidance of Hypertrophic Cardiomyopathy Patients using Hybrid Digital Twin Solutions
th patients to advance the state of the art in human digital-twins: including in-vitro tools, in-silico from molecular to systemic level models, structured and unstructured data analysis, explainable artificial intelligence - all integrated into a decision support solution for both healthcare professionals and patients. SMASH-HCM delivers new insights into HCM, improved patient care and guidance, validated preclinical tools, and above all, a first HCM stratification and management strategy, validated in a pilot clinical trial, and tested with end users. Thus providing a cost efficient and effective solution for this complex disease. SMASH-HCM develops a strategy towards fast regulatory approval. In reaching its goals, SMASH-HCM serves as a basis for future digital-twin platforms for other cardiac diseases integrating models and data from various scales and sources. Hypertrophic Cardiomyopathy, Machine Learning, Artificial Intelligence, In-silico Models, Precision Medicine, Data-driven
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 8546366.25
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.