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Digital phenotyping: An equal opportunity approach to reducing disparities in Alzheimer's disease and related dementia research.
Britton, Gabrielle B; Huang, Li-Kai; Villarreal, Alcibiades E; Levey, Allan; Philippakis, Anthony; Hu, Chaur-Jong; Yang, Cheng Chang; Mushi, Declare; Oviedo, Diana C; Rangel, Giselle; Ho, Jor Sam; Thompson, Louisa; Khemakhem, Mahdi; Ross, Makayla; Carreira, María B; Kim, Nicole; Joung, Philip; Albastaki, Omar; Kuo, Po Chih; Low, Spencer; Paddick, Stella-Maria; Kuan, Yi-Chun; Au, Rhoda.
Afiliação
  • Britton GB; Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP) Panamá City Panama.
  • Huang LK; Universidad Santa María La Antigua, Vía Ricardo J. Alfaro Panamá City Panama.
  • Villarreal AE; Taipei Medical University Shuang-Ho Hospital Taipei Taiwan.
  • Levey A; Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP) Panamá City Panama.
  • Philippakis A; Emory University School of Medicine Atlanta Georgia USA.
  • Hu CJ; Broad Institute at Massachusetts Institute of Technology and Harvard University Cambridge Massachusetts USA.
  • Yang CC; Taipei Medical University Shuang-Ho Hospital Taipei Taiwan.
  • Mushi D; Taipei Medical University Shuang-Ho Hospital Taipei Taiwan.
  • Oviedo DC; Kilimanjaro Christian Medical University College Moshi Tanzania.
  • Rangel G; Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP) Panamá City Panama.
  • Ho JS; Universidad Santa María La Antigua, Vía Ricardo J. Alfaro Panamá City Panama.
  • Thompson L; Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP) Panamá City Panama.
  • Khemakhem M; Davos Alzheimer's Collaborative Wayne Pennsylvania USA.
  • Ross M; Boston University School of Public Health Boston Massachusetts USA.
  • Carreira MB; Davos Alzheimer's Collaborative Wayne Pennsylvania USA.
  • Kim N; Alpert Medical School of Brown University Providence Rhode Island USA.
  • Joung P; Davos Alzheimer's Collaborative Wayne Pennsylvania USA.
  • Albastaki O; Davos Alzheimer's Collaborative Wayne Pennsylvania USA.
  • Kuo PC; Boston University School of Public Health Boston Massachusetts USA.
  • Low S; Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP) Panamá City Panama.
  • Paddick SM; Davos Alzheimer's Collaborative Wayne Pennsylvania USA.
  • Kuan YC; Davos Alzheimer's Collaborative Wayne Pennsylvania USA.
  • Au R; Davos Alzheimer's Collaborative Wayne Pennsylvania USA.
Alzheimers Dement (Amst) ; 15(4): e12495, 2023.
Article em En | MEDLINE | ID: mdl-38034851
ABSTRACT
A rapidly aging world population is fueling a concomitant increase in Alzheimer's disease (AD) and related dementias (ADRD). Scientific inquiry, however, has largely focused on White populations in Australia, the European Union, and North America. As such, there is an incomplete understanding of AD in other populations. In this perspective, we describe research efforts and challenges of cohort studies from three regions of the world Central America, East Africa, and East Asia. These cohorts are engaging with the Davos Alzheimer's Collaborative (DAC), a global partnership that brings together cohorts from around the world to advance understanding of AD. Each cohort is poised to leverage the widespread use of mobile devices to integrate digital phenotyping into current methodologies and mitigate the lack of representativeness in AD research of racial and ethnic minorities across the globe. In addition to methods that these three cohorts are already using, DAC has developed a digital phenotyping protocol that can collect ADRD-related data remotely via smartphone and/or in clinic via a tablet to generate a common data elements digital dataset that can be harmonized with additional clinical and molecular data being collected at each cohort site and when combined across cohorts and made accessible can provide a global data resource that is more racially/ethnically represented of the world population.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article