This paper is in the following e-collection/theme issue:

Glucose Tracking and Self-Monitoring of Blood Glucose (152) Telehealth and Telemonitoring (1575) Diabetes Self-Management (464) Diabetes Health Services and System Innovations (105)

Published on in Vol 7, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27284, first published .
Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice

Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice

Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice

Authors of this article:

David Scheinker1, 2, 3, 4 Author Orcid Image ;   Angela Gu3 Author Orcid Image ;   Joshua Grossman3 Author Orcid Image ;   Andrew Ward3 Author Orcid Image ;   Oseas Ayerdi3 Author Orcid Image ;   Daniel Miller3 Author Orcid Image ;   Jeannine Leverenz2 Author Orcid Image ;   Korey Hood1, 4 Author Orcid Image ;   Ming Yeh Lee2 Author Orcid Image ;   David M Maahs1, 4, 5 Author Orcid Image ;   Priya Prahalad1, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.