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Responsiveness, Sensitivity and Clinical Utility of Timing-Related Speech Biomarkers for Remote Monitoring of ALS Disease Progression.
Kothare, Hardik; Neumann, Michael; Liscombe, Jackson; Green, Jordan; Ramanarayanan, Vikram.
Afiliação
  • Kothare H; Modality.AI, Inc., San Francisco, CA, USA.
  • Neumann M; Modality.AI, Inc., San Francisco, CA, USA.
  • Liscombe J; Modality.AI, Inc., San Francisco, CA, USA.
  • Green J; MGH Institute of Healthcare Professions, Boston, MA USA.
  • Ramanarayanan V; Modality.AI, Inc., San Francisco, CA, USA.
Interspeech ; 2023: 2323-2327, 2023 Aug.
Article em En | MEDLINE | ID: mdl-39006831
ABSTRACT
In this study, we describe the responsiveness of timing-related measures extracted from read speech in persons with ALS (pALS) collected via a remote patient monitoring platform in an effort to quantify how long it takes to detect a clinically-meaningful change associated with disease progression. We found that the timing alignment of pALS speech relative to a canonical elicitation of the same prompt is the most responsive measure, of the ones considered in this study, at detecting such change in both pALS with bulbar (n = 35) and non-bulbar onset (n = 94). We further evaluated the sensitivity of speech metrics in tracking disease progression in pALS while their ALSFRS-R speech score remained unchanged at 3 out of a total possible score of 4. We observed that timing-related speech metrics showed significant longitudinal changes even after accounting for learning effects. The findings of this study have the potential to inform disease prognosis and functional outcomes of clinical trials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Interspeech Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Interspeech Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos