Stratification, Management, and Guidance of Hypertrophic Cardiomyopathy Patients using Hybrid Digital Twin Solutions

Información del proyecto

SMASH-HCM

Identificador del acuerdo de subvención: 101137115

DOI

10.3030/101137115

Fecha de la firma de la CE 8 Diciembre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Diciembre 2027

Financiado con arreglo a

• Health

Coste total

€ 8 546 366,25

Aportación de la UE

€ 8 546 366,25

Coordinado por

TAMPEREEN KORKEAKOULUSAATIO SR
Finland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (15)

Quality assurance plan

Documents standards, processes and ways of working

Risk assessment reports

Risk and quality assessment

Requirements for disease patients' self-management

Requirements spec. for patient view of disease self-management

SMASH-HCM solution as research tool requirements

Technical and non-technical specification for the tool in a continued research setting

Dissemination, communication and exploitation plan

Strategy documents

Ethical approval of the whole SMASH-HCM study

Approval distributed to centers collecting clinical data

Initial Data-driven models

Data-driven models and biomarkers available

Design specifications of an API for DSS algorithms

API’s functionality is specified

Initial Evidence-based models and biomarkers

Evidence-based models and biomarkers available

VASC Submission package

Ethical approval and EU clinical trials registration

Libraries of HCM populations of cellular electromechanical models
Requirements SMASH-HCM solution in clinical practice – initial

Technical and non-technical requirements for the SMASH-HCM solution

PILOT Submission package

Approvals by all clinical partners

Governance report

Specifies decision-making processes and project-related bodies’ members

Requirements SMASH-HCM predictive/clustering tool

Requirement specifications for predictive/clustering tool for HCM patient stratification

Websites, patent fillings, videos etc. (1)

Project Website

Published project website.

Other (1)

Contact with regulatory agencies FIMEA, DEKRA

Discussions with FIMEA and DEKRA representatives performed

Data Management Plan (1)

Project Data Management Plan (P-DMP)

Documents management of project (non-research) data.

Publicaciones

Peer reviewed articles (6)

Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing

Autores: Julia Camps, Zhinuo Jenny Wang, Ruben Doste, Lucas Arantes Berg, Maxx Holmes, Brodie Lawson, Jakub Tomek, Kevin Burrage, Alfonso Bueno-Orovio, Blanca Rodriguez
Publicado en: Medical Image Analysis, Edición 100, 2024, ISSN 1361-8415
Editor: Elsevier BV
DOI: 10.1016/J.MEDIA.2024.103361

Artificial intelligence applications in hypertrophic cardiomyopathy: turns and loopholes

Autores: Giorgia Panichella, Manuel Garofalo, Laura Sasso, Alessandra Milazzo, Alessandra Fornaro, Josè Manuel Pioner, Alfonso Bueno-Orovio, Mark van Gils, Annariina Koivu, Luca Mainardi, Virginie Le Rolle, Felix Agakov, Maurizio Pieroni, Katriina Aalto-Setälä, Jari Hyttinen, Iacopo Olivotto, Annamaria Del Franco
Publicado en: European Heart Journal - Digital Health, 2025, ISSN 2634-3916
Editor: Oxford University Press (OUP)
DOI: 10.1093/EHJDH/ZTAF086

Digitaalisen kaksosteknologian hyödyntäminen terveydenhuollossa: Hyödyt ja vaikutukset hypertrofisen kardiomyopatian tapaustutkimuksen valossa

Autores: Annariina Koivu, Mark Van Gils, Antti Ahola, Katriina Aalto-Setälä, Jari Hyttinen
Publicado en: Finnish Journal of eHealth and eWelfare, Edición 17, 2025, ISSN 1798-0798
Editor: Finnish Journal of eHealth and eWelfare
DOI: 10.23996/FJHW.154831

An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach

Autores: Marion Taconné; Valentina D.A. Corino; Luca Mainardi
Publicado en: IEEE Open Journal of Engineering in Medicine and Biology, 2024, ISSN 2644-1276
Editor: IEEE
DOI: 10.1109/OJEMB.2024.3509379

Defining functional requirements for a self-management solution for Hypertrophic Cardiomyopathy patients – a multi-stakeholder multi-framework approach

Autores: Kati Auranen, Dipak Kalra, Malte Von Tottleben, Shahan Tariq, Mark Van Gils
Publicado en: Finnish Journal of eHealth and eWelfare, Edición 17, 2025, ISSN 1798-0798
Editor: Finnish Journal of eHealth and eWelfare
DOI: 10.23996/FJHW.154635

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

Autores: Alpo Olavi Värri; Mark Van Gils; Jari Hyttinen
Publicado en: Finnish Journal of eHealth and eWelfare, 2024, ISSN 1798-0798
Editor: Finnish Social and Health Informatics Association
DOI: 10.23996/FJHW.143516

Book chapters (1)

Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI

Autores: Claas Thesing, Alfonso Bueno-Orovio, Abhirup Banerjee
Publicado en: Lecture Notes in Computer Science, Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers., 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-87756-8_22

Conference proceedings (2)

Automatic Right Ventricular Hypertrophic Detection Integrating Electrocardiography-based QRS Biomarkers with Machine Learning

Autores: Marion Taconne, Valentina Corino, Luca Mainardi
Publicado en: Computing in Cardiology Conference (CinC), 2024 Computing in Cardiology Conference (CinC), Edición 51, 2024
Editor: Computing in Cardiology
DOI: 10.22489/CINC.2024.085

Model-based Analysis of Myocardial Strains in Obstructive and Non-obstructive Hypertrophic Cardiomyopathy

Autores: Francesca Menna, Joan Duprez, Marion Taconne, Adrien AL WAZZAN, Eleonore SERRANO, Lotfi Senhadji, erwan donal, Jari A. Hyttinen, Alfredo Hernandez, Virginie Le Rolle
Publicado en: Computing in Cardiology Conference (CinC), 2024 Computing in Cardiology Conference (CinC), Edición 51, 2024
Editor: Computing in Cardiology
DOI: 10.22489/CINC.2024.240

Thesis and dissertations (1)

Integrated Requirements Engineering for Digital Health: Enhancing Self-Care in Hypertrophic Cardiomyopathy Management

Autores: Kati Auranen
Publicado en: 2024
Editor: Tampere University