David Scheinker

David Scheinker, PhD, Clinical Associate Professor, Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University School of Medicine

Research Description: As of 2018, the standard of care for type 1 diabetes (T1D) is centered on quarterly clinic visits, glycated hemoglobin (HbA1c) testing, and self-monitoring of blood glucose (SMBG). This approach faces two significant barriers to the timely detection and personalized response to deteriorating glucose control, a long feedback cycle and the use of relatively little data. For example, a typical patient may check their blood glucose 4-10 times/day and receive feedback from their care team once every 3 months based on an HbA1c test. Continuous glucose monitors (CGM) record blood glucose levels once every 5 minutes. CGM use is associated with improved clinical outcomes, improved patient-reported quality of life measures, and has recently increased from 3% in 2011 to 31% in 2016 in the US pediatric T1D population. However, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress found that while CGMs offer an opportunity to use high-frequency data to identify deteriorating glucose control and tailor personalized management strategies, there are no standardized, validated methods to do so. My research group, SURF, facilitates partnerships between engineers and endocrinologists to develop a variety of analytical tools to analyze CGM data, develop personalized care targets, and deploy these tools for care for LPCH patients. The goal of this collaboration is to develop, validate, and test a suite of analytics-enabled CGM-based tools to facilitate standardized, personalized care for T1D patients. 

Selected relevant publications (SDRC members in BOLD):

  1. Prahalad P, Addala A, Scheinker D, Hood KK, Maahs DM. CGM Initiation Soon After Type 1 Diabetes Diagnosis Results in Sustained CGM Use and Wear Time. Diabetes Care. 2020 Jan;43(1):e3-e4. doi: 10.2337/dc19-1205. PMID: 31558548; PMCID: PMC7011198. [Cites P30] 

  2. Prahalad P, Yang J, Scheinker D, Desai M, Hood K, Maahs DM. Hemoglobin A1c Trajectory in Pediatric Patients with Newly Diagnosed Type 1 Diabetes. Diabetes Technol Ther. 2019 Aug;21(8):456-461. doi: 10.1089/dia.2019.0065. PMID: 31180244; PMCID: PMC7001422. [Cites P30] 

  3. Rodriguez F, Scheinker D, Harrington RA. Promise and Perils of Big Data and Artificial Intelligence in Clinical Medicine and Biomedical Research. Circ Res. 2018 Dec 7;123(12):1282-1284. doi: 10.1161/CIRCRESAHA.118.314119. PMID: 30566055.