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, US

2 Lucile Packard Children's Hospital, Stanford University , Stanford, CA, US

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

4 Stanford Diabetes Research Center, Stanford University , Stanford, CA, US

5 Department of Health Research and Policy, Stanford University , Stanford, CA, US

Corresponding Author:

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