Project: HeartMed: an ICT platform combining pre-clinical and clinical information for patient-specific modelling in cardiovascular medicine to improve diagnosis and help clinical decision-making

Acronym	HeartMed (Reference Number: ERAPERMED2019-237)
Duration	01/04/2020 - 31/03/2023
Project Topic	Background: Heart failure is the number one reason for death in the EU. It is a progressive disorder with multiple aetiologies (e.g. volume-pressure overload, ischemic heart disease), subforms (HFpEF, HFrEF) and severities. Patients can be asymptomatic and go undetected and undertreated for years increasing the risk of adverse outcome. Mechanistic physiology-based models have matured to clinical application enabling personalized assessment of the underlying pathophysiological processes. While availability of multidimensional bio-medical data on individual patients (imaging, sensors, omics) has increased dramatically in recent years allowing a progressively fine-granular classification of patients by data-driven models, mechanistic models rely on very specific high quality data that is not always available in the clinic (missing data). Main objective: The main objective is to enable patient-specific modelling for improved diagnosis and clinical decision-making in cardiovascular medicine. Methods: We propose a novel concept (the HeartMed platform) that combines data-driven and mechanistic modelling in a step-wise approach. # Deep-phenomapping will be done for selected animal models and human patients using data from imaging, omics, and sensors # Heart failure subclasses assessing conformities and differences between the pre- and clinical phenotypes will be defined # Based on the phenomapping classification, we will combine pre-/clinical information to impute missing data and enable the application of physiology-based mechanistic models of myocardial metabolism and circulation for patient-specific modelling # Patient-specific models will be used for the assessment of patient-individualized cardiac functionality to improve diagnosis and help clinical decision-making # In a clinical proof-of-concept study of patients with heart failure, we will use HeartMed to compare model-driven patient classification, diagnostics and treatment with current clinical procedures
Network	ERA PerMed
Call	2nd Joint Transnational Call for Proposals (2019)

Project partner

Number	Name	Role	Country
1	Charité - Universitätsmedizin Berlin	Coordinator	Germany
2	Max Delbrück Center for Molecular Medicine in the Helmholtz Association	Partner	Germany
3	University of Luxemburg	Partner	Luxembourg
4	Siemens SRL	Partner	Romania