INSIDE-HEART

Start date: 1 November 2023

End date: 31 October 2027

Grant agreement ID: 101119941

INSIDE-HEART brings together universities, companies and hospitals from countries (Italy, Finland, France, Israel, the Netherlands, Spain and Sweden) with the main objective of establishing a multidisciplinary network to address the design and early stage validation of digital biomarkers, specifically targeting the diagnosis of supraventricular arrhythmias (SVA) and their associated potential for adverse risk assessment, by jointly combining signal processing, artificial intelligence and non-clinical devices. This will be achieved by conducting research excellence through a unique ‘without walls’ doctoral training between academic, industrial and clinical entities with expertise in the field.

The composite nature of the INSIDE-HEART network ensures a highly qualified training and research infrastructure for the specific objective, which aims to generate a new researcher profile with multi-sectoral expertise able to fill the existing gap, i.e. the absence of digital biomarkers for VAS are reliably estimated with non-clinical devices, taking into account basic research, clinical needs and commercial interests. Research and training are designed to consider relevant aspects such as public concern for private data management, gender and ethics related to VAS, all in accordance with the principles of Responsible Research and Innovation and Open Science practices.
All INSIDE-HEART activities are designed to pursue innovation in three domains:

i) Educational domain: by implementing a new multi-sectoral PhD training paradigm to train modern professional researchers with cross-field competencies and capable of accelerating the translation from basic science to the market and clinics.
ii) Basic science mastery: producing new knowledge on digital biomarkers through a multi-sectoral approach to explore the complex issues related to VAS.
(iii) Technology domain: by developing new data- and model-based methodologies to calculate digital biomarkers and support clinical decision support.

More information here