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Diabetes: Management and Pharmacotherapy01:15

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The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
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Diabetes mellitus consists of chronic metabolic disorders characterized by persistent hyperglycemia. This elevated blood glucose results from defects in insulin secretion, impaired insulin action, or both. Insulin, produced by pancreatic β-cells, is essential for maintaining glucose homeostasis by facilitating cellular glucose uptake for energy or storage. Disruptions in insulin production or function lead to glucose accumulation in the bloodstream, causing the clinical features and...
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Diabetes: Symptoms, Diagnosis, and Complications01:15

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycemia due to insulin deficiency, resistance, or both. Prolonged hyperglycemia disrupts metabolic homeostasis and leads to acute and chronic complications.Acute ComplicationsAcute complications result from sudden metabolic imbalance.Diabetic ketoacidosis (DKA) mainly appears in type 1 diabetes but may also develop in type 2 diabetes, particularly under extreme stress. It arises from severe insulin deficiency,...
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Type I Diabetes I: Introduction01:12

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Type 1 diabetes mellitus is a chronic metabolic disorder characterized by an absolute deficiency of insulin resulting from the autoimmune destruction of pancreatic β-cells. Although it can occur at any age, it is most commonly diagnosed in childhood, adolescence, or early adulthood. The loss of insulin production impairs cellular glucose uptake, resulting in persistent hyperglycemia and necessitating lifelong insulin therapy.Autoimmune Destruction of β-CellsThe hallmark of type 1...
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Diabetes Mellitus: Overview and Type I Subtype01:22

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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
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Technology in Diabetes: A Year in Review.

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Summary

Recent advancements in diabetes technology, including continuous glucose monitoring and automated insulin delivery systems, are personalizing diabetes care. However, challenges like access and data privacy persist, emphasizing that technology alone is not a complete solution.

Keywords:
Artificial intelligenceAutomated insulin deliveryContinuous glucose monitoring systemDiabetes technologyDigital therapeuticsSmart insulin pen

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Area of Science:

  • Endocrinology and Metabolic Diseases
  • Medical Technology and Devices
  • Digital Health

Background:

  • Diabetes management is rapidly evolving with technological innovations.
  • Continuous Glucose Monitoring (CGM) and Automated Insulin Delivery (AID) systems are key areas of development.
  • The integration of digital therapeutics and AI is transforming patient support and decision-making.

Purpose of the Study:

  • To review significant diabetes technology developments from 2025.
  • To highlight recent clinical trial evidence and regulatory updates.
  • To discuss the implications of these advancements for clinical practice and future research.

Main Methods:

  • Literature review of recent publications and regulatory actions in diabetes technology.
  • Analysis of trends in monitoring, insulin delivery, analytics, and patient support.
  • Synthesis of evidence on the effectiveness and challenges of new technologies.

Main Results:

  • Significant improvements in CGM accuracy and wear-time.
  • Expanded use and regulatory approval of AID systems.
  • Growth in connected insulin pens, digital therapeutics, and AI-driven decision support tools.
  • Continued challenges in device safety, affordability, access, data interoperability, and privacy.

Conclusions:

  • Diabetes care is shifting towards more personalized, remote, and tightly controlled models due to technological advancements.
  • Technology alone cannot solve all challenges in diabetes management.
  • Addressing access, affordability, safety, and data privacy is crucial for equitable and effective implementation of diabetes technologies.