Reinforcement learning in healthcare: A survey

C Yu, J Liu, S Nemati, G Yin - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
As a subfield of machine learning, reinforcement learning (RL) aims at optimizing decision
making by using interaction samples of an agent with its environment and the potentially …

The discovery of insulin: an important milestone in the history of medicine

I Vecchio, C Tornali, NL Bragazzi… - Frontiers in …, 2018 - frontiersin.org
The discovery of insulin represents an authentic breakthrough, characterized, at the same
time, by contrasts, controversies and disputes among scholars, as well as by great …

In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities

N Kazemi, M Abdolrazzaghi, PE Light… - Biosensors and …, 2023 - Elsevier
Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance
to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a …

Soft implantable drug delivery device integrated wirelessly with wearable devices to treat fatal seizures

H Joo, Y Lee, J Kim, JS Yoo, S Yoo, S Kim, AK Arya… - Science …, 2021 - science.org
Personalized biomedical devices have enormous potential to solve clinical challenges in
urgent medical situations. Despite this potential, a device for in situ treatment of fatal …

Non-invasive continuous-time glucose monitoring system using a chipless printable sensor based on split ring microwave resonators

M Baghelani, Z Abbasi, M Daneshmand, PE Light - Scientific Reports, 2020 - nature.com
This paper reports a highly sensitive, non-invasive sensor for real-time glucose monitoring
from interstitial fluid. The structure is comprised of a chip-less tag sensor which may be …

Evolution of insulin delivery devices: from syringes, pens, and pumps to DIY artificial pancreas

J Kesavadev, B Saboo, MB Krishna, G Krishnan - Diabetes Therapy, 2020 - Springer
The year 2021 will mark 100 years since the discovery of insulin. Insulin, the first medication
to be discovered for diabetes, is still the safest and most potent glucose-lowering therapy …

Type 1 diabetes

MA Atkinson, GS Eisenbarth, AW Michels - The lancet, 2014 - thelancet.com
Over the past decade, knowledge of the pathogenesis and natural history of type 1 diabetes
has grown substantially, particularly with regard to disease prediction and heterogeneity …

The UVA/PADOVA type 1 diabetes simulator: new features

CD Man, F Micheletto, D Lv, M Breton… - Journal of diabetes …, 2014 - journals.sagepub.com
Objective: Recent studies have provided new insights into nonlinearities of insulin action in
the hypoglycemic range and into glucagon kinetics as it relates to response to …

Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction

MF Rabby, Y Tu, MI Hossen, I Lee, AS Maida… - BMC Medical Informatics …, 2021 - Springer
Background Blood glucose (BG) management is crucial for type-1 diabetes patients
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …

Current and emerging technology for continuous glucose monitoring

C Chen, XL Zhao, ZH Li, ZG Zhu, SH Qian, AJ Flewitt - Sensors, 2017 - mdpi.com
Diabetes has become a leading cause of death worldwide. Although there is no cure for
diabetes, blood glucose monitoring combined with appropriate medication can enhance …