 This paper presents a novel methodology for identifying phenotypic characteristics of type 1 diabetes based on glucose curves obtained through continuous glucose monitoring. By analyzing the longitudinal patterns of glucose levels over time, the authors are able to identify distinct phenotypes of type 1 diabetes, which can then be used to develop personalized treatment plans for each individual patient. Additionally, the authors have developed a model that can accurately predict future glucose levels and the risk of hyper and hypoglycemia. This model could potentially be used to monitor and manage type 1 diabetes more effectively, leading to improved health outcomes for patients. This article was authored by Emra Jesilai, Rui Huang, Jane Sikui, and others.