[HTML][HTML] Artificial intelligence for diabetes management and decision support: literature review

I Contreras, J Vehi - Journal of medical Internet research, 2018 - jmir.org
Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …

[HTML][HTML] Machine learning and data mining methods in diabetes research

I Kavakiotis, O Tsave, A Salifoglou… - Computational and …, 2017 - Elsevier
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 …

Machine learning towards intelligent systems: applications, challenges, and opportunities

MN Injadat, A Moubayed, AB Nassif… - Artificial Intelligence …, 2021 - Springer
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 …

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 …

[HTML][HTML] Wearable continuous glucose monitoring sensors: a revolution in diabetes treatment

G Cappon, G Acciaroli, M Vettoretti, A Facchinetti… - Electronics, 2017 - mdpi.com
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 …

An artificial intelligence decision support system for the management of type 1 diabetes

NS Tyler, CM Mosquera-Lopez, LM Wilson… - Nature …, 2020 - nature.com
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 …

[HTML][HTML] Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors

M Vettoretti, G Cappon, A Facchinetti, G Sparacino - Sensors, 2020 - mdpi.com
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 …

Soft robot–mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery

R Beatty, KL Mendez, LHJ Schreiber, R Tarpey… - Science Robotics, 2023 - science.org
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 …

[HTML][HTML] Artificial intelligence in decision support systems for type 1 diabetes

NS Tyler, PG Jacobs - Sensors, 2020 - mdpi.com
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 …

[HTML][HTML] An insulin bolus advisor for type 1 diabetes using deep reinforcement learning

T Zhu, K Li, L Kuang, P Herrero, P Georgiou - Sensors, 2020 - mdpi.com
(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 …