• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

Search on the site

  • About us
    • Governance
    • Team of Facilities
  • How to find us
  • Contact us
  • For you patient
  • EN
  • IT
gemelli generator logo

GemelliGenerator

  • Facilities
    • Epidemiology & Biostatistics
    • Data Collection
    • Bioinformatics
    • Real World Data
  • Services
  • Research
    • Projects
    • Network Projects
    • Publications
  • Opportunity
    • Work with us
    • Courses
  • Network & Partners
  • News & Events
Home / Projects / iHelp

iHelp - Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records

iHELP - H2020 project

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.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017441

Budget: € 482.222,50 Duration: 01/01/2021 – 31/12/2023

Website: www.ihelp-project.eu

Primary Sidebar

Search

Our facilities

  • Epidemiology & Biostatistics
  • Data Collection
  • Bioinformatics
  • Real World Data

Latest from Gemelli Generator

  • 26/07/2022
    Azimuth, un percorso di digital health integrato per i pazienti con insufficienza cardiaca
  • 29/11/2021Events
    IL RUOLO DELLA BIOINFORMATICA NELLA RICERCA CLINICA: EVIDENZE E NUOVE PROSPETTIVE.
  • News
    25/10/2021Research
    L'intelligenza artificiale e la bellezza della guarigione
  • News
    09/09/2021Video
    Sanità. L'uso dell'Intelligenza artificiale nei servizi sanitari. Intervista al Prof. Vincenzo Valentini

Courses

Discover our courses

Need help?

Please use the form below based on your specific needs

Contact Us

Footer

  • Facilities
    • Epidemiology & Biostatistics
    • Data Collection
    • Bioinformatics
    • Real World Data
  • Services
  • Research
    • Projects
    • Network Projects
    • Publications
  • Opportunity
    • Work with us
    • Courses
  • Network & Partners
  • News & Events
  • About us
    • Governance
    • Team of Facilities
  • How to find us
  • Contact us
  • For you patient

Privacy information

Cookie Policy

Note

Usage conditions


Support us
gemelli generator footer
logo facebook
logo twitter
logo youtube
logo linkedin
logo policlinico gemelli
logo cattolica

© 2020 Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Codice Fiscale e P.IVA n. 13109681000

 

Sede Legale Largo Francesco Vito 1, 00168 Roma
Sede Operativa Largo Agostino Gemelli 8, 00168 Roma
Tutti i diritti riservati / All Rights Reserved – Credits