CLinical impact through AI-assisted MS care

Project Information

CLAIMS

Grant agreement ID: 101112153

DOI

10.3030/101112153

EC signature date 15 May 2023

Start date 1 June 2023

End date 31 May 2027

Funded under

• Health

Total cost

€ 9 633 843,75

EU contribution

€ 4 783 843,75

Coordinated by

CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Author(s): 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
Published in: MedRxiv, 2023
Publisher: MedRxiv
DOI: 10.1101/2023.07.19.23292824

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

Author(s): icometrix, Charite, Ruhr University of Bochum, Technische Universität Dresden, Casa di Cura IGEA, ASST Papa Giovanni XXIII Bergamo, General University Hospital Prague
Published in: Clinical Trial Gov, 2025
Publisher: Clinical Trial Gov

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

Author(s): 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
Published in: Clinical Trial Gov, 2024
Publisher: Clinical Trial Gov

Peer reviewed articles (5)

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

Author(s): 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
Published in: Frontiers in Immunology, Issue 15, 2024, ISSN 1664-3224
Publisher: Frontiers Media SA
DOI: 10.3389/FIMMU.2024.1446748

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

Author(s): 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
Published in: Journal of Medical Internet Research, Issue 27, 2025, ISSN 1438-8871
Publisher: 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

Author(s): 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
Published in: Brain Communications, Issue 7, 2025, ISSN 2632-1297
Publisher: 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

Author(s): 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
Published in: Frontiers in Neurology, Issue 16, 2025, ISSN 1664-2295
Publisher: Frontiers Media SA
DOI: 10.3389/FNEUR.2025.1557947

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

Author(s): 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
Published in: Multiple Sclerosis Journal - Sage Journal, 2023, ISSN 1352-4585
Publisher: Sage Journals
DOI: 10.1177/13524585231216007