AIMC Topic: Diabetes Mellitus, Type 1
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A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes.
Nature communications
Mar 12, 2021
Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent alleles, which is one of the factors that reduce the reliability of trans-ethnic major histocompatibility complex (MHC) fine-mapping due to inter-ethn...
Intelligent automated drug administration and therapy: future of healthcare.
Drug delivery and translational research
Jan 14, 2021
In the twenty-first century, the collaboration of control engineering and the healthcare sector has matured to some extent; however, the future will have promising opportunities, vast applications, and some challenges. Due to advancements in processi...
Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges.
Sensors (Basel, Switzerland)
Jan 14, 2021
(1) Background: the use of machine learning techniques for the purpose of anticipating hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in blood glucose below critical levels in diabetic patients. This may cause...
Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas.
The American journal of pathology
Dec 8, 2020
Emerging data suggest that type 1 diabetes affects not only the β-cell-containing islets of Langerhans, but also the surrounding exocrine compartment. Using digital pathology, machine learning algorithms were applied to high-resolution, whole-slide i...
Data-Driven Robust Control for a Closed-Loop Artificial Pancreas.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2020
We present a fully closed-loop design for an artificial pancreas (AP) that regulates the delivery of insulin for the control of Type I diabetes. Our AP controller operates in a fully automated fashion, without requiring any manual interaction with th...
Multi-Hour Blood Glucose Prediction in Type 1 Diabetes: A Patient-Specific Approach Using Shallow Neural Network Models.
Diabetes technology & therapeutics
Oct 13, 2020
Considering current insulin action profiles and the nature of glycemic responses to insulin, there is an acute need for longer term, accurate, blood glucose predictions to inform insulin dosing schedules and enable effective decision support for the...
Latest Advancements in Artificial Intelligence-Enabled Technologies in Treating Type 1 Diabetes.
Journal of diabetes science and technology
Aug 25, 2020
Humanoid robot-assisted interventions among children with diabetes: A systematic scoping review.
International journal of nursing studies
Aug 18, 2020
BACKGROUND: Although the humanoid robot is highly engaging for children, whether humanoid robot-assisted interventions could help in diabetes management is still unclear.
A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism.
Journal of medical Internet research
Aug 12, 2020
BACKGROUND: Semisupervised and unsupervised anomaly detection methods have been widely used in various applications to detect anomalous objects from a given data set. Specifically, these methods are popular in the medical domain because of their suit...
Deep Physiological Model for Blood Glucose Prediction in T1DM Patients.
Sensors (Basel, Switzerland)
Jul 13, 2020
Accurate estimations for the near future levels of blood glucose are crucial for Type 1 Diabetes Mellitus (T1DM) patients in order to be able to react on time and avoid hypo and hyper-glycemic episodes. Accurate predictions for blood glucose are the ...
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