WP 1. Clinical Research and Validation
Leader: Centro Cardiologico Monzino
WP1 goals are to define and implement the clinical research actions on prognostics and diagnostics for CVD using retrospective and prospective data, as well as to co-ordinate the objective validation of thePerCard AI&ML methods and of the decision support solution.
Specifically, WP1 will:
- Retrospectively harmonize and analyse the clinical data already at disposal.
- Prospectively collect clinical data to be used to validate the PerCard system.
WP2. New information discovery using AI and ML
Leader: Politecnico di Milano
WP2 objective is to develop signal processing and AI/ML methods and digital biomarkers derivation for advanced utilization of ECG and multivariable information in diagnosis and prognosis of CVD.
More specifically, WP2 will:
- Clarify the varying relationships between data (raw ECG and/or derived features) and phase of the physical activity and use them as new indexes for patient stratification.
- Analyse and derive new quantitative digital biomarkers from ECG data where features are obtained with various approaches.
- Integrate all the information above into a fully-
informative, explainable multi-factorial predictor.
WP3. Personalized CVD Decision Support in Clinical Practice
Leader: Tampere University
WP3 will implement and deploy a decision support software tool incorporating algorithms developed within WP2. The work is done in continuous tight co-operation with WP4. Emphasis is put on guaranteeing that the developed system can be deployed and evaluated in different settings, also after the formal project end.
More specifically, WP3 will:
- Define the requirements for guaranteeing a clinically useful decision support system.
- Integrate and implement selected algorithms from WP2 into software modules with technical interfaces and user interfaces.
- Integrate the modules as a package and deploy for further validation and use,
- Prepare for post-project availability.
WP4. Ethical, Legal and Societal Aspects (ELSA)
Leader: Protestant University of Applied Sciences Ludwigsburg
WP4 aims to achieve acceptability for AI-based applications in/for cardiovascular medicine in society. WP4 interacts with all other work packages throughout the project.
Specifically, WP4 will:
- Investigate ELSA aspects of PerCard. integrate the results into the project.
- Issue recommendations for future practice regarding responsible research and innovation (RRI).