PREPARE

Personalize Rehabilitation vial novel AI patient stratification strategies
Project ID
Funding Organization:
Funding Programme:
HORIZON-HLTH-2022-TOOL
Funding Instrument:
Research & Innovation Action
Start Date:
01/06/2023
Duration:
48 months
Total Budget:
5,774,112 EUR
ITI Budget:
221,875 EUR
Scientific Responsible:

PREPARE aims at advancing rehabilitation care for patients with chronic non-communicable diseases. As rehabilitation is a complex, multifaceted, and highly personal process, we currently lack reliable patient stratification and outcome prediction tools. While big data approaches provide a path forward, existing data sets pose numerous challenges. These challenges can be overcome by combining advances in clinical research, socio-behavioral and public health research, data science, and advanced statistical and AI learning methods.

We will apply machine learning techniques on our large-scale patient data sets including key sociodemographic, living conditions, and behavioral information to stratify patients based on expected outcomes. A subsequent analysis will consider all potential predictors for rehabilitation outcome. Baseline strata and modifiers will be used to develop a comprehensive model of each clinical situation to increase management quality, improve outcomes, and reduce costs.

As proof of principle we will develop a platform for sharing model results, exploiting the open-science EHDEN platform, and showcase the novel approach through pilot cases of nine pathologies which constitute the most dominant causes for rehabilitation worldwide: hand disorders, hip and knee prosthesis, intermittent claudication, lower limb loss, Parkinson’s disease/Parkinsonisms, scoliosis, spine disorders, temporo-mandibular articulation, and hypertension. We will also develop a certification roadmap.

PREPARE will result in innovative, robust, personalized, and validated data-driven computational prediction and stratification tools to support healthcare professionals and patients in selecting the optimal therapy strategy.

Consortium

ARISTOTELIO PANEPISTIMIO THESSALONIKIS, Greece
KIKLO GEOSPATIAL INFORMATION TECHNOLOGIES P.C., Greece
ISICO ISICO SRL, Italy
IOG ISTITUTO ORTOPEDICO GALEAZZI SPA, Italy
EMC ERASMUS MC – UNIVERSITY MEDICAL CENTER ROTTERDAM, Netherlands
HAN STICHTING HOGESCHOOL VAN ARNHEM EN NIJMEGEN, Netherlands
UNIVPM UNIVERSITA POLITECNICA DELLE MARCHE, Italy
CERTH ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS, Greece
JSI INSTITUT JOZEF STEFAN, Slovenia
URI UNIVERZITETNI REHABILITACIJSKI INSTITUT REPUBLIKE SLOVENIJE, Slovenia
CEL CELLOCK LTD, Cyprus
RAD RADBOUD UNIVERSITY MEDICAL CENTRE, Netherlands
UMIL UNIVERSITA DEGLI STUDI DI MILANO, Italy
NAALA NAALA B.V., Netherlands
TRI TRILATERAL RESEARCH LIMITED, Ireland
TRI TRILATERAL RESEARCH LTD (Affiliated), United Kingdom
LIU LINKÖPINGS UNIVERSITET, Sweden

Associate Partners

UEMS-PRM Union Européenne des Mediciens Spécialistes-Physical & Rehabitation Medicine, Cyprus
ESPRM European Society of Physical & Rehabilitation Medicine, Netherlands
ES EUROSPINE, the Spine Society of Europe, Switzerland

Contact

Dr. Ioannis Kompatsiaris
(Scientific Responsible)
Building A - Office 2.9

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257774
Fax: +30 2310 474128
Email: ikom@iti.gr
Url: http://mklab.iti.gr


Dr. Spiridon Nikolopoulos
(Contact)
Building A - Office 0.7

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257752
Fax: +30 2310 474128
Email: nikolopo@iti.gr

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