Nature Communications (Oct 2021)
A scalable, secure, and interoperable platform for deep data-driven health management
- 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
Affiliations
- Amir Bahmani
- Department of Genetics, Stanford University
- Arash Alavi
- Department of Genetics, Stanford University
- Thore Buergel
- Stanford Healthcare Innovation Lab, Stanford University
- Sushil Upadhyayula
- Department of Genetics, Stanford University
- Qiwen Wang
- Department of Genetics, Stanford University
- Srinath Krishna Ananthakrishnan
- Stanford Healthcare Innovation Lab, Stanford University
- Amir Alavi
- Stanford Healthcare Innovation Lab, Stanford University
- Diego Celis
- Department of Genetics, Stanford University
- Dan Gillespie
- Stanford Healthcare Innovation Lab, Stanford University
- Gregory Young
- Department of Genetics, Stanford University
- Ziye Xing
- Department of Genetics, Stanford University
- Minh Hoang Huynh Nguyen
- Department of Genetics, Stanford University
- Audrey Haque
- Department of Genetics, Stanford University
- Ankit Mathur
- Department of Genetics, Stanford University
- Josh Payne
- Department of Genetics, Stanford University
- Ghazal Mazaheri
- Department of Genetics, Stanford University
- Jason Kenichi Li
- Department of Genetics, Stanford University
- Pramod Kotipalli
- Department of Genetics, Stanford University
- Lisa Liao
- Department of Genetics, Stanford University
- Rajat Bhasin
- Stanford Healthcare Innovation Lab, Stanford University
- Kexin Cha
- Department of Genetics, Stanford University
- Benjamin Rolnik
- Department of Genetics, Stanford University
- Alessandra Celli
- Department of Genetics, Stanford University
- Orit Dagan-Rosenfeld
- Department of Genetics, Stanford University
- Emily Higgs
- Department of Genetics, Stanford University
- Wenyu Zhou
- Department of Genetics, Stanford University
- Camille Lauren Berry
- Department of Genetics, Stanford University
- Katherine Grace Van Winkle
- Department of Genetics, Stanford University
- Kévin Contrepois
- Department of Genetics, Stanford University
- Utsab Ray
- Department of Genetics, Stanford University
- Keith Bettinger
- Department of Genetics, Stanford University
- Somalee Datta
- Technology and Digital Solutions, Stanford Medicine
- Xiao Li
- Department of Genetics, Stanford University
- Michael P. Snyder
- Department of Genetics, Stanford University
- DOI
- https://doi.org/10.1038/s41467-021-26040-1
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 11
Abstract
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 Dashboard, which provides an end-to-end solution for deep biomedical data analytics.
