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[HTML][HTML] Artificial intelligence for diabetes management and decision support: literature review
Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …
including medical devices, mobile computing, and sensor technologies, have the potential to …
[HTML][HTML] Machine learning and data mining methods in diabetes research
The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …
production of data, such as high throughput genetic data and clinical information, generated …
Machine learning towards intelligent systems: applications, challenges, and opportunities
The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …
resulted in the generation of large amounts of data that can be made available for analyses …
Transforming diabetes care through artificial intelligence: the future is here
I Dankwa-Mullan, M Rivo, M Sepulveda… - Population health …, 2019 - liebertpub.com
An estimated 425 million people globally have diabetes, accounting for 12% of the world's
health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated …
health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated …
[HTML][HTML] Wearable continuous glucose monitoring sensors: a revolution in diabetes treatment
Worldwide, the number of people affected by diabetes is rapidly increasing due to aging
populations and sedentary lifestyles, with the prospect of exceeding 500 million cases in …
populations and sedentary lifestyles, with the prospect of exceeding 500 million cases in …
An artificial intelligence decision support system for the management of type 1 diabetes
Abstract Type 1 diabetes (T1D) is characterized by pancreatic beta cell dysfunction and
insulin depletion. Over 40% of people with T1D manage their glucose through multiple …
insulin depletion. Over 40% of people with T1D manage their glucose through multiple …
[HTML][HTML] Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors
Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of
type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood …
type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood …
Soft robot–mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery
The foreign body response impedes the function and longevity of implantable drug delivery
devices. As a dense fibrotic capsule forms, integration of the device with the host tissue …
devices. As a dense fibrotic capsule forms, integration of the device with the host tissue …
[HTML][HTML] Artificial intelligence in decision support systems for type 1 diabetes
Type 1 diabetes (T1D) is a chronic health condition resulting from pancreatic beta cell
dysfunction and insulin depletion. While automated insulin delivery systems are now …
dysfunction and insulin depletion. While automated insulin delivery systems are now …
[HTML][HTML] An insulin bolus advisor for type 1 diabetes using deep reinforcement learning
(1) Background: People living with type 1 diabetes (T1D) require self-management to
maintain blood glucose (BG) levels in a therapeutic range through the delivery of exogenous …
maintain blood glucose (BG) levels in a therapeutic range through the delivery of exogenous …