Drew Cooper

ORCID: 0000-0003-3847-8416
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About
Contact & Profiles
Research Areas
  • Mobile Health and mHealth Applications
  • Diabetes Management and Research
  • Digital Mental Health Interventions
  • Pancreatic function and diabetes
  • Diabetes and associated disorders
  • Diabetes Management and Education
  • Ion Channels and Receptors
  • Empathy and Medical Education
  • Social Media in Health Education
  • Online Learning and Analytics
  • Adolescent and Pediatric Healthcare
  • Circadian rhythm and melatonin
  • Connexins and lens biology
  • Literature Analysis and Criticism

Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2021-2025

Charité - Universitätsmedizin Berlin
2018-2025

Humboldt-Universität zu Berlin
2018-2025

Freie Universität Berlin
2018-2025

This study was undertaken to determine if crosstalk among the transient receptor potential (TRP) melastatin 8 (TRPM8), TRP vanilloid 1 (TRPV1) and vascular endothelial growth factor (VEGF) triad modulates VEGF-induced Ca2+ signaling in human corneal keratocytes. Using RT-PCR, qPCR immunohistochemistry, we determined TRPV1 TRPM8 gene protein coexpression a keratocyte cell line (HCK) cross sections. Fluorescence imaging using both photomultiplier single digital system as well planar...

10.3389/fendo.2018.00670 article EN cc-by Frontiers in Endocrinology 2018-11-22

As a treatment option for people living with diabetes, automated insulin delivery (AID) systems are becoming increasingly popular. The #WeAreNotWaiting community plays crucial role in the provision and distribution of open-source AID technology. However, while large percentage children were early adopters AID, there regional differences adoption, which has prompted an investigation into barriers perceived by caregivers diabetes to creating systems.This is retrospective, cross-sectional...

10.3389/fcdhc.2022.876511 article EN cc-by Frontiers in Clinical Diabetes and Healthcare 2022-07-25

Although commercially developed automated insulin delivery (AID) systems have recently been approved and become available in a limited number of countries, they are not universally available, accessible, or affordable. Therefore, open-source AID systems, cocreated by an online community people with diabetes their families behind the hashtag #WeAreNotWaiting, increasingly popular. This study focused on examining lived experiences, physical emotional health implications following initiation...

10.2196/48406 article EN cc-by Journal of Medical Internet Research 2024-05-30

People with diabetes and their support networks have developed open-source automated insulin delivery systems to help manage therapy, as well improve quality of life glycemic outcomes. Under the hashtag #WeAreNotWaiting, a wealth knowledge real-world data been generated by users these but left largely untapped research; opportunities for such multimodal studies remain open.We aimed evaluate feasibility several aspects including challenges related management security across multiple disparate...

10.2196/33213 article EN cc-by JMIR Diabetes 2022-01-13

<sec> <title>BACKGROUND</title> Although commercially developed automated insulin delivery (AID) systems have recently been approved and become available in a limited number of countries, they are not universally available, accessible, or affordable. Therefore, open-source AID systems, cocreated by an online community people with diabetes their families behind the hashtag #WeAreNotWaiting, increasingly popular. </sec> <title>OBJECTIVE</title> This study focused on examining lived...

10.2196/preprints.48406 preprint EN 2023-04-21

Background: Open-source automated insulin delivery (OS-AID) systems combine commercially available pumps and continuous glucose monitors with open-source algorithms to automate dosing for people insulin-requiring diabetes. Two data sets (OPEN the OpenAPS Data Commons) contain anonymized OS-AID user data. Methods: We assessed glycemic variability (GV) outcomes in OPEN set characterized it alongside a comparison n = 122 version of Commons. Glucose are analyzed using an unsupervised machine...

10.1177/19322968231198871 article EN cc-by Journal of Diabetes Science and Technology 2023-09-26

Durch neue Entwicklungen in der Diabetestherapie und technologische Fortschritte soll nicht nur die Stoffwechsellage von Menschen mit Diabetes verbessert, sondern auch Komplexität des Diabetesmanagements damit psychosoziale Belastung verringert werden. Einen wichtigen neuen Therapieansatz stellen Systeme zur automatisierten Insulinabgabe (AID ["automated insulin delivery"]) dar, denen Sensoren zum kontinuierlichen Glukosemonitoring Insulinpumpen Steueralgorithmen verbunden werden, zahlreiche...

10.1007/s11428-022-00955-9 article DE Deleted Journal 2022-09-13

<sec> <title>BACKGROUND</title> People with diabetes and their support networks have developed open-source automated insulin delivery systems to help manage therapy, as well improve quality of life glycemic outcomes. Under the hashtag &lt;i&gt;#WeAreNotWaiting&lt;/i&gt;, a wealth knowledge real-world data been generated by users these but left largely untapped research; opportunities for such multimodal studies remain open. </sec> <title>OBJECTIVE</title> We aimed evaluate feasibility...

10.2196/preprints.33213 preprint EN 2021-09-28
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