Stratification, Management, and Guidance of Hypertrophic Cardiomyopathy Patients using Hybrid Digital Twin Solutions
Acronym
SMASH-HCM
Description of the granted funding
Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease (prevalence 1:200 - 1:500), manifested by thickening of cardiac walls, increasing risks of arrhythmia, and sudden cardiac death. HCM affects all ages - it is the leading cause of death among young athletes. Comorbidities due to gene mutations include altered vascular control, and, caused by HCM, ischemia, stroke, dementia, or psychological and social difficulties. Multiple causal mutations and variations in cellular processes lead to highly diverse phenotypes and disease progression. However, HCM is still diagnosed as one single disease, leading to suboptimal care.
SMASH-HCM will develop a digital-twin platform to dramatically improve HCM stratification and disease management, both for clinicians and patients. Multilevel and multiorgan dynamic biophysical and data-driven models are integrated in a three-level deep phenotyping approach designed for fast uptake into the clinical workflow. SMASH-HCM unites 8 research partners, 3 hospitals, 3 SMEs, and a global health-technology corporation in collaboration with 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.
Show moreStarting year
2024
End year
2027
Granted funding
UNIVERSITE DE RENNES (FR)
574 863.75 €
Participant
INSILICOTRIALS TECHNOLOGIES S.P.A. (IT)
605 000 €
Participant
PHARMATICS LIMITED (UK)
Participant
CENTRE HOSPITALIER UNIVERSITAIRE DE RENNES (FR)
279 082.5 €
Participant
MEDTRONIC BAKKEN RESEARCH CENTER B.V. (NL)
603 750 €
Participant
AZIENDA OSPEDALIERO-UNIVERSITARIA CAREGGI (IT)
16 250 €
Third party
EMPIRICA GESELLSCHAFT FUR KOMMUNIKATIONS UND TECHNOLOGIEFORSCHUNG MBH (DE)
572 500 €
Participant
UNIVERSITAETSKLINIKUM HAMBURG-EPPENDORF (DE)
279 125 €
Participant
POLITECNICO DI MILANO (IT)
698 750 €
Participant
UNIVERSITA DEGLI STUDI DI FIRENZE (IT)
658 750 €
Participant
UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN (IE)
954 381.25 €
Participant
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD (UK)
Participant
ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA (IT)
334 213.75 €
Participant
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (FR)
33 600 €
Third party
Amount granted
8 046 366 €
Funder
European Union
Funding instrument
HORIZON Research and Innovation Actions
Framework programme
Horizon Europe (HORIZON)
Call
Programme part
Health (11673 Tools, Technologies and Digital Solutions for Health and Care, including personalised medicine (11693 )
Topic
Integrated, multi-scale computational models of patient patho-physiology (‘virtual twins’) for personalised disease management (HORIZON-HLTH-2023-TOOL-05-03Call ID
HORIZON-HLTH-2023-TOOL-05 Other information
Funding decision number
101137115
Identified topics
cardiovascular diseases