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Automated speech analysis reveals progressive linguistic changes associated with subsequent gray matter loss in multiple sclerosis

Year: 2026

Type: article

Study design: Observational Study

Source: Multiple Sclerosis Journal

DOI: 10.1177/13524585261477213

Authors: Martin Šubert, Tereza Tykalová, Michal Novotný, Barbora Srpová, Jiří Motýl, Jan Krásenský, Matěj Kudrna, Manuela Vaněčková, Dana Horáková, Tomáš Uher, Jan Rusz

Institutions: Czech Technical University in Prague, Charles University, General University Hospital in Prague

Language: English

Topic: Multiple Sclerosis Research Studies

Subfield: Pathology and Forensic Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Ministerstvo Školství, Mládeže a Tělovýchovy, Ministerstvo Zdravotnictví Ceské Republiky

Awards: Smart multimodal speech-based biomarkers in real-world settings for detecting disease activity in multiple sclerosis, G622239581

OpenAlex ID: W7203706467

FWCI:

Cites: 33

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