SOURCE-LINKED INTELLIGENCE

multI-discipliNary, multi-Sectoral and multi-national trainIng network on Digital biomarkErs for supraventricular arrHythmia charactErizAtion and Risk assessmenT

CORDIS · observation · Publication date unknown

tal biomarkers, specifically targeting the diagnosis of supraventricular arrhythmias (SVAs) and their associated potential for adverse risk assessment, via the joint combination of signal processing, artificial intelligence and non-clinical devices. This will be achieved by performing excellent research through a unique doctoral training “without walls” among field-expert academic, industrial and clinical entities. The composite nature of the INSIDE-HEART network ensures a highly qualified training and research infrastructure for the specific goal, which aims to generate a new profile of researcher with multi-sectoral expertise able to fill the existing gap, i.e., the absence of digital biomarkers for SVAs reliably estimated with non-clinical devices, taking into account basic research, clinical needs and business interests. Research and training are designed to consider relevant aspects such as public concern of private data management, gender and ethics related to SVAs, all according to Responsible Research & Innovation principles and Open Science practices. All activities in INSI

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recordType

award

status

SIGNED

region

EU

value

2667693.6

unit

EUR