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Related Concept Videos

Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

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Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
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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.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
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Psychoneuroimmunology: Diabetes and Cancer01:19

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Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
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Diabetes Mellitus: Type 2 and Gestational01:22

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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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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: 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.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
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Digital Diabetes Congress 2018.

Fraya King1, David C Klonoff2, David Kerr3

  • 11 Diabetes Technology Society, Burlingame, CA, USA.

Journal of Diabetes Science and Technology
|November 1, 2018
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Digital health integrates internet technology with healthcare, using sensors and smartphones for personalized patient care. Widespread adoption requires robust data on safety, effectiveness, and privacy to drive investment and regulatory approval.

Keywords:
appscybersecuritydatadigital diabetesprivacy

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Area of Science:

  • Digital health
  • Healthcare technology
  • Mobile health applications

Background:

  • Healthcare is increasingly integrating internet technologies, sensors, and smartphones to deliver personalized patient care.
  • Artificial intelligence enhances individualized treatment plans, improving patient-provider communication, especially for remote populations.
  • The Digital Diabetes Congress was established to explore the benefits and components of mobile health applications for diabetes management.

Framework:

  • Digital health tools utilize wireless sensors and smartphone software for data transmission, information delivery, and treatment recommendations.
  • Simple, user-friendly designs are crucial for promoting the adoption and adherence to digital health treatments.
  • Future advancements depend on integrating artificial intelligence for personalized treatment strategies.

Implementation:

  • The 2018 Digital Diabetes Congress convened leaders in healthcare technology to discuss the current and future landscape of digital health in diabetes care.
  • The meeting focused on determining the potential benefits, success metrics, and essential components of mobile applications for diabetes.
  • Discussions highlighted the need for robust randomized controlled trials to generate safety and effectiveness data.

Implications:

  • Widespread adoption of digital health tools necessitates strong evidence of efficacy, safety, privacy, and security.
  • Demonstrating positive outcomes through rigorous research is essential for attracting investment and securing regulatory clearance.
  • Digital health innovations promise to expand access to healthcare professionals and improve treatment adherence for patients, including those in remote areas.