CLinical impact through AI-assisted MS care

Projektinformationen

CLAIMS

ID Finanzhilfevereinbarung: 101112153

DOI

10.3030/101112153

EK-Unterschriftsdatum 15 Mai 2023

Startdatum 1 Juni 2023

Enddatum 31 Mai 2027

Finanziert unter

• Health

Gesamtkosten

€ 9 633 843,75

EU-Beitrag

€ 4 783 843,75

Koordiniert durch

CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (5)

Report on synergies with other related initiatives

Report on all activities performed and the outcomes related to collaborating with other EU/international projects and initiatives.

Initial Report on dissemination activities

Detailed overview of the dissemination activities performed by partners after the initial 2 years of the project. This deliverable will also include an overview of the activities performed and still planned until the end of the project with other projects, infrastructures and initiatives identified in Task 6.3.

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

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

This will be an update of deliverable D6.1

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

Other (2)

Characterisation of MS lesions on MRI

Publication on the methodology and performance of the automatic software for MS lesion classification into stable, active, or smouldering.

Spinal cord atrophy quantification

Publication on the methodology and performance of the automatic software for spinal cord atrophy.

Veröffentlichungen

Peer reviewed articles (5)

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

Autoren: 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
Veröffentlicht in: Frontiers in Immunology, Ausgabe 15, 2024, ISSN 1664-3224
Herausgeber: Frontiers Media SA
DOI: 10.3389/FIMMU.2024.1446748

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

Autoren: 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
Veröffentlicht in: Journal of Medical Internet Research, Ausgabe 27, 2025, ISSN 1438-8871
Herausgeber: 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

Autoren: 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
Veröffentlicht in: Brain Communications, Ausgabe 7, 2025, ISSN 2632-1297
Herausgeber: 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

Autoren: 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
Veröffentlicht in: Frontiers in Neurology, Ausgabe 16, 2025, ISSN 1664-2295
Herausgeber: Frontiers Media SA
DOI: 10.3389/FNEUR.2025.1557947

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

Autoren: 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
Veröffentlicht in: Multiple Sclerosis Journal - Sage Journal, 2023, ISSN 1352-4585
Herausgeber: Sage Journals
DOI: 10.1177/13524585231216007

Other (2)

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

Autoren: icometrix, Charite, Ruhr University of Bochum, Technische Universität Dresden, Casa di Cura IGEA, ASST Papa Giovanni XXIII Bergamo, General University Hospital Prague
Veröffentlicht in: Clinical Trial Gov, 2025
Herausgeber: Clinical Trial Gov

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

Autoren: 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
Veröffentlicht in: Clinical Trial Gov, 2024
Herausgeber: Clinical Trial Gov