Central theme across ESCAPE-NET (cardiac arrest epidemiology), PREMEDiCARE (stem cell arrhythmia models, coordinated by AUX), and PROFID (post-myocardial infarction risk prediction).
ISTITUTO AUXOLOGICO ITALIANO
Italian clinical research institute specializing in cardiac sudden death prevention and AI-powered sleep diagnostics within large European health consortia.
Their core work
Istituto Auxologico Italiano is a Milan-based clinical research institute specializing in cardiovascular risk prevention and sleep medicine. They contribute clinical data, patient cohorts, and medical expertise to EU projects focused on sudden cardiac death prediction, hypertension monitoring, and AI-driven sleep diagnostics. Their work bridges clinical practice and digital health, applying machine learning and personalized medicine approaches to real patient populations in cardiology and sleep disorder management.
What they specialise in
SLEEP REVOLUTION applies AI, deep learning, and personalized health approaches to obstructive sleep apnea diagnosis and treatment.
HSMonitor focused on ICT-enabled hypertension monitoring, while BodyPass explored 3D personal data exchange — both involving digital health infrastructure.
SLEEP REVOLUTION and PROFID both apply machine learning and clinical decision tools to patient data, signaling a move toward AI-assisted diagnostics.
ENTWINE training network addressed informal care models and eHealth policy across Europe.
How they've shifted over time
In the early H2020 period (2017–2018), Auxologico focused on genetic epidemiology of cardiac arrest, cohort-based studies, informal care policy, and foundational digital health tools like 3D body data exchange. From 2019 onward, their work shifted decisively toward AI-powered clinical tools — machine learning for sleep diagnostics, personalized cardiac risk prediction after heart attacks, and ICT-enabled hypertension monitoring. The trajectory shows a clear move from epidemiological data collection toward applied, AI-driven precision medicine at the bedside.
Auxologico is investing in machine learning and digital diagnostics applied to cardiology and sleep medicine — expect future projects combining clinical datasets with AI prediction tools.
How they like to work
Auxologico predominantly joins consortia as a participant or third party (7 of 8 projects), contributing clinical expertise and patient data rather than leading large-scale coordination. They coordinated one MSCA fellowship (PREMEDiCARE), showing capacity for smaller-scale project leadership. With 141 unique partners across 26 countries, they are well-connected and comfortable in large multinational consortia, making them a reliable clinical partner who brings real patient access without demanding the coordination lead.
Auxologico has built a broad European network of 141 unique partners spanning 26 countries, reflecting their participation in large health-sector consortia. Their connections are spread widely across Europe rather than concentrated in any single region.
What sets them apart
Auxologico combines active clinical care (as a hospital and research institute) with EU research participation, meaning they can offer direct access to patient populations and clinical validation environments. Their dual expertise in cardiac sudden death and sleep medicine — both now incorporating AI — is unusual for a single institute. For consortium builders, they fill the critical role of a clinical partner who can recruit patients, run trials, and validate digital health tools in a real hospital setting.
Highlights from their portfolio
- ESCAPE-NETLargest funded project (EUR 665,625) building a pan-European cardiac arrest database — positions Auxologico as a key node in cardiac arrest research.
- PREMEDiCAREOnly project coordinated by Auxologico, using induced pluripotent stem cells for cardiac arrhythmia risk evaluation — shows independent research leadership in precision cardiology.
- SLEEP REVOLUTIONMost recent major project (2021–2025) applying deep learning and AI to sleep diagnostics, marking Auxologico's clearest move into AI-powered personalized medicine.