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

David Scheinker   1, 2, 3, 4 , PhD ;   Angela Gu   3 , MS ;   Joshua Grossman   3 , MS ;   Andrew Ward   3 , PhD ;   Oseas Ayerdi   3 , MS ;   Daniel Miller   3 , PhD ;   Jeannine Leverenz   2 , MS, RN, CDCES ;   Korey Hood   1, 4 , PhD ;   Ming Yeh Lee   2 , MD, PhD ;   David M Maahs   1, 4, 5 , MD, PhD ;   Priya Prahalad   1, 4 , MD, PhD

1 Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States

2 Lucile Packard Children's Hospital, Stanford University, Stanford, CA, United States

3 Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA, United States

4 Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States

5 Department of Health Research and Policy, Stanford University, Stanford, CA, United States

Corresponding Author:

  • Priya Prahalad, MD, PhD
  • Department of Pediatrics, Division of Pediatric Endocrinology
  • Stanford University
  • 300 Pasteur Dr.
  • Room G313
  • Stanford, CA, 94025
  • United States
  • Phone: 1 6507211811
  • Fax: 1 6507258375
  • Email: prahalad@stanford.edu