Patient-led development of digital endpoints and the use of computer vision analysis in assessment of motor function in rare diseases.

Ferrer-Mallol, Elisa; Matthews, Clare; Stoodley, Madeline; Gaeta, Alessandra; George, Elinor; Reuben, Emily; Johnson, Alex; Davies, Elin Haf

Ferrer-Mallol, Elisa; Matthews, Clare; Stoodley, Madeline; Gaeta, Alessandra; George, Elinor; Reuben, Emily; Johnson, Alex; Davies, Elin Haf.

Afiliação

Ferrer-Mallol E; Aparito Ltd, Wrexham, United Kingdom.
Matthews C; Aparito Ltd, Wrexham, United Kingdom.
Stoodley M; Aparito Ltd, Wrexham, United Kingdom.
Gaeta A; Duchenne UK, London, United Kingdom.
George E; Duchenne UK, London, United Kingdom.
Reuben E; Duchenne UK, London, United Kingdom.
Johnson A; Duchenne UK, London, United Kingdom.
Davies EH; Aparito Ltd, Wrexham, United Kingdom.

Front Pharmacol ; 13: 916714, 2022.

Article em En | MEDLINE | ID: mdl-36172196

Palavras-chave

Duchenne muscular dystrophy; computer vision analysis; digital biomarkers; digital endpoints; rare diseases; video

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Suíça

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