CLinical impact through AI-assisted MS care

Informations projet

CLAIMS

N° de convention de subvention: 101112153

DOI

10.3030/101112153

Date de signature de la CE 15 Mai 2023

Date de début 1 Juin 2023

Date de fin 31 Mai 2027

Financé au titre de

• Health

Coût total

€ 9 633 843,75

Contribution de l’UE

€ 4 783 843,75

Coordonné par

CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Demonstrators, pilots, prototypes (2)

Integration of test battery for cognition and fine motor skills into icompanion app

Test battery is fully integrated into the medical device icompanion together with quality control measures for at-home-testing.

First version platform

Initial version of the platform that can be installed with the clinical partners to allow data transfer and field tests

Documents, reports (2)

Plan for dissemination and exploitation of the results, including communication activities

A plan for dissemination that includes the communication objectives stakeholders activities to be carried out and tools that will support their implementation and how these parts are interlinked and dependant This document will also include an initial roadmap for the exploitation of the results and in particular the commercial adoption of the companion diagnostic tools and platform

Project governance report

Report describing the design and setup of the project governance framework and governing bodies

Publications

Other (3)

icognition: a smartphone-based cognitive screening battery

Auteurs: Stijn Denissen; Delphine Van Laethem; Johan Baijot; Lars Costers; Annabel Descamps; Ann Van Remoortel; Annick Van Merhaegen-Wieleman; Marie B D’hooghe; Miguel D’Haeseleer; Dirk Smeets; Diana Maria Sima; Jeroen Van Schependom; Guy Nagels
Publié dans: MedRxiv, 2023
Éditeur: MedRxiv
DOI: 10.1101/2023.07.19.23292824

Clinical Impact Through AI-assisted MS Care - A Prospective Multi-center Study (PROCLAIM)

Auteurs: icometrix, Charite, Ruhr University of Bochum, Technische Universität Dresden, Casa di Cura IGEA, ASST Papa Giovanni XXIII Bergamo, General University Hospital Prague
Publié dans: Clinical Trial Gov, 2025
Éditeur: Clinical Trial Gov

Clinical Impact Through AI-assisted MS Care - A Retrospective Multi-center Observational Study. (RECLAIM)

Auteurs: icometrix, Charite, Ruhr University of Bochum, Technische Universität Dresden, ASST Papa Giovanni XXIII Bergamo, General University Hospital Prague, Hoffmann-La Roche, Bristol-Myers Squibb, AB Scienc
Publié dans: Clinical Trial Gov, 2024
Éditeur: Clinical Trial Gov

Peer reviewed articles (5)

A future of AI-driven personalized care for people with multiple sclerosis

Auteurs: Jelle Praet, Lina Anderhalten, Giancarlo Comi, Dana Horakova, Tjalf Ziemssen, Patrick Vermersch, Carsten Lukas, Koen van Leemput, Marjan Steppe, Cristina Aguilera, Ella Maria Kadas, Alexis Bertrand, J
Publié dans: Frontiers in Immunology, Numéro 15, 2024, ISSN 1664-3224
Éditeur: Frontiers Media SA
DOI: 10.3389/FIMMU.2024.1446748

A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study

Auteurs: Stijn Denissen, Delphine Van Laethem, Johan Baijot, Lars Costers, Annabel Descamps, Ann Van Remoortel, Annick Van Merhaegen-Wieleman, Marie D’hooghe, Miguel D'Haeseleer, Dirk Smeets, Diana M Sima, J
Publié dans: Journal of Medical Internet Research, Numéro 27, 2025, ISSN 1438-8871
Éditeur: JMIR Publications Inc.
DOI: 10.2196/53503

Depicting multiple sclerosis disease course using lesion parenchymal fraction: a quantified expression of the topographical model of multiple sclerosis

Auteurs: Stephen Krieger, Thibo Billiet, Nuno Pedrosa de Barros, Thanh Vân Phan, Wim Van Hecke, Annemie Ribbens, Karin Cook, Tim Wang, Kain Kyle, Linda Ly, Justin Garber, Michael Barnett
Publié dans: Brain Communications, Numéro 7, 2025, ISSN 2632-1297
Éditeur: Oxford University Press (OUP)
DOI: 10.1093/BRAINCOMMS/FCAF280

RECLAIM—A retrospective, multicenter observational study aimed at enabling the development of artificial intelligence-driven prognostic models for disease progression in multiple sclerosis

Auteurs: Jelle Praet, Lina Anderhalten, Giancarlo Comi, Dana Horakova, Tjalf Ziemssen, Patrick Vermersch, Carsten Lukas, Koen Van Leemput, Marjan Steppe, Noemí Manero, Ella Kadas, Alexis Bernard, Jean van Ram
Publié dans: Frontiers in Neurology, Numéro 16, 2025, ISSN 1664-2295
Éditeur: Frontiers Media SA
DOI: 10.3389/FNEUR.2025.1557947

The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment

Auteurs: Delphine Van Laethem; Stijn Denissen; Lars Costers; Annabel Descamps; Johan Baijot; Ann Van Remoortel; Annick Van Merhaegen-Wieleman; Marie B D’hooghe; Miguel D’Haeseleer; Dirk Smeets; Diana M Sima; Jeroen Van Schependom; Guy Nagels
Publié dans: Multiple Sclerosis Journal - Sage Journal, 2023, ISSN 1352-4585
Éditeur: Sage Journals
DOI: 10.1177/13524585231216007