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            Blood glucose monitoring is an essential aspect of disease management for individuals with diabetes. Unfortunately, traditional methods require collecting a blood sample and thus are invasive and inconvenient. Recent developments in minimally invasive continuous glucose monitors have provided a more convenient alternative for people with diabetes to track their glucose levels 24/7. Despite this progress, many challenges remain to establish a noninvasive monitoring technique that works accurately and reliably in the wild. This review encompasses the current advancements in noninvasive glucose sensing technology in vivo, delves into the common challenges faced by these systems, and offers an insightful outlook on existing and future solutions.more » « less
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            GEISER, LUKE; LEUNG, HO MAN; BERGET, CARI; GONG, CHENGYUE; LIU, QIANG; ZHOU, XIA; FORLENZA, GREGORY P. (, Diabetes)
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            GEISER, LUKE; LEUNG, HO MAN; BERGET, CARI; GONG, CHENGYUE; LIU, QIANG; ZHOU, XIA; FORLENZA, GREGORY P. (, Diabetes)
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            Leung, Ho Man; Li, Tianxing; Prioleau, Temiloluwa; Vu, Tam; Forlenza, Gregory; Zhou, Xia. (, Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers (UbiComp/ISWC Adjunct).)
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            Forlenza, Gregory P.; Kushner, Taisa; Messer, Laurel H.; Wadwa, R. Paul; Sankaranarayanan, Sriram (, Diabetes Technology & Therapeutics)
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            Kushner, Taisa; Bequette, B. Wayne; Cameron, Fay; Forlenza, Gregory; Maahs, David; Sankaranarayanan, Sriram (, Automated Reasoning for Systems Biology And Medicine (Edited by Paulo Zuliani and Pietro Lio))
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