Analysis of wearable time series data in endocrine and metabolic research.

Grant, Azure D; Upton, Thomas J; Terry, John R; Smarr, Benjamin L; Zavala, Eder

Grant, Azure D; Upton, Thomas J; Terry, John R; Smarr, Benjamin L; Zavala, Eder.

Afiliación

Grant AD; Helen Wills Neuroscience Institute, University of California, Berkeley, 94720, United States of America.
Upton TJ; Laboratories for Integrative Neuroscience and Endocrinology, University of Bristol, Bristol, BS1 3NY, United Kingdom.
Terry JR; Centre for Systems Modelling & Quantitative Biomedicine, University of Birmingham, Edgbaston, B15 2TT, United Kingdom.
Smarr BL; Department of Bioengineering, University of California, San Diego, 92093, United States of America.
Zavala E; Halicioglu Data Science Institute, University of California, San Diego, 92093, United States of America.

Curr Opin Endocr Metab Res ; 25: 100380, 2022 Aug.

Article en En | MEDLINE | ID: mdl-36632470

Palabras clave

Computer algorithms; Hormone dynamics; Personalised medicine; Precision medicine; Time series analysis; Wearables

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Curr Opin Endocr Metab Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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