A scalable, secure, and interoperable platform for deep data-driven health management

A scalable, secure, and interoperable platform for deep data-driven health management

The increasing scale and scope of biomedical data is generating tremendous opportunities for improving health outcomes, but also raises new challenges ranging from data acquisition and storage to data analysis and utilization. To meet these challenges, the authors develop the Personal Health Dashboa...

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Autores principales: Amir Bahmani, Arash Alavi, Thore Buergel, Sushil Upadhyayula, Qiwen Wang, Srinath Krishna Ananthakrishnan, Amir Alavi, Diego Celis, Dan Gillespie, Gregory Young, Ziye Xing, Minh Hoang Huynh Nguyen, Audrey Haque, Ankit Mathur, Josh Payne, Ghazal Mazaheri, Jason Kenichi Li, Pramod Kotipalli, Lisa Liao, Rajat Bhasin, Kexin Cha, Benjamin Rolnik, Alessandra Celli, Orit Dagan-Rosenfeld, Emily Higgs, Wenyu Zhou, Camille Lauren Berry, Katherine Grace Van Winkle, Kévin Contrepois, Utsab Ray, Keith Bettinger, Somalee Datta, Xiao Li, Michael P. Snyder
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Science
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Acceso en línea:https://doaj.org/article/efec0ed4138f45909723a38c944bd3eb
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https://doaj.org/article/efec0ed4138f45909723a38c944bd3eb

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