CORDIS · iHELP
Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records
- Code
iHELP- Programme
- H2020
- Call
SC1-DTH-02-2020- Status
- CLOSED
- Period
- 2021-01-01 – 2024-06-30
Official data · CORDIS · synced 2026-10-17 10:16 · official record
Participants
| Organisations | Role | Country | Grant |
|---|---|---|---|
| UNIVERSITY OF PIRAEUS RESEARCH CENTER | coordinator | EL | 424 062 € |
| THE UNIVERSITY OF MANCHESTER | participant | UK | 911 389 € |
| INFORMATION CATALYST SL | participant | ES | 763 125 € |
| INNOVATION SPRINT | participant | BE | 578 750 € |
| FONDAZIONE POLICLINICO UNIVERSITARIO AGOSTINO GEMELLI IRCCS | participant | IT | 482 222 € |
| KODAR EOOD | participant | BG | 409 062 € |
| LEANXCALE SL | participant | ES | 372 500 € |
| ENGINEERING - INGEGNERIA INFORMATICA SPA | participant | IT | 370 625 € |
| UNIVERSIDAD POLITECNICA DE MADRID | participant | ES | 340 000 € |
| ATHENS TECHNOLOGY CENTER ANONYMI VIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS | participant | EL | 308 750 € |
| MARINA SALUD SA | participant | ES | 286 250 € |
| SIEMENS SRL | participant | RO | 271 875 € |
| KAROLINSKA INSTITUTET | participant | SE | 255 000 € |
| МЕДИЦИНСКИ УНИВЕРСИТЕТ - ПЛОВДИВ | participant | BG | 224 375 € |
| STRYPES EOOD | third party | BG | 0 € |
| DIGITAL SYSTEMS 4.0 | third party | BG | 0 € |
| INFORMATION CATALYST FOR ENTERPRISE LTD | third party | UK | 0 € |
| TAIPEI MEDICAL UNIVERSITY FOUNDATION*TMU | participant | TW | 0 € |
Description
The specific focus of iHELP is on early identification and mitigation of the risks associated with Pancreatic Cancer based on the application of advance AI-based learning and decision support techniques on the historic (primary) data of Cancer patients gathered from established data banks and cohorts. This analysis helps to (i) determine key risks associated with Pancreatic Cancer, (ii) develop predictive models for identified risks, and (iii) develop adaptive models for targeted prevention and intervention measures. Based on these developments, the project selects high-risk individuals that are invited to take part in the pilot activities or digital trials. The digital trials are carried out through user-centric mobile and wearable applications that apply proven usability principles to offer more awareness, more engaging experience for health monitoring, risk assessment and personalised decision support. Close collaboration between clinical and AI experts focus on drawing decision support against identified/predicted risks and providing personalised recommendations (e.g. lifestyle changes, behavioural nudges, screening test etc) to the participants in the digital trials. The iHELP (mobile and wearable) technology solutions help in validating iHELP solutions and raising health related awareness at individual level. The (secondary) data gathered through the mobile and wearable applications (concerning life style, behavioural, social interactions and response to targeted prevention and intervention measures) is integrated with primary data in the standardised HHR format – within a big data platform. Frugal AI-based learning techniques are developed to provide near real-time risk assessment based on the integrated and standardised HHR data. iHELP solutions are targeted at multiple stakeholders, including policymakers that will get decision support on the design of new screening programs and new guidelines for bringing improvements in clinical and lifestyle aspects.
Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).