Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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Glutathione peroxidase-1 gene (GPX1) variants, oxidative stress and risk of kidney complications in people with type 1 diabetes.

BACKGROUND AND AIM: Glutathione peroxidase (GPX) is a class of antioxidant enzymes that catalyze the...

A linear functional strategy for regularized ranking.

Regularization schemes are frequently used for performing ranking tasks. This topic has been intensi...

Ginsenoside Rg1 Improves In vitro-produced Embryo Quality by Increasing Glucose Uptake in Porcine Blastocysts.

Ginsenoside Rg1 is a natural compound with various efficacies and functions. It has beneficial effec...

Pharmacokinetic and bioavailability study of angeloylgomisin H in rat plasma by UPLC-MS/MS.

Angeloylgomisin H, as a major lignin in the fruits, was reported to have the potential to improve in...

Bioequivalence and comparative pharmacodynamics of insulin lispro 200 U/mL relative to insulin lispro (Humalog®) 100 U/mL.

Insulin lispro 200 U/mL (IL200) is a new strength formulation of insulin lispro (Humalog®, IL100), d...

Creation of a new longitudinal corpus of clinical narratives.

The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured a new longitudinal cor...

A context-aware approach for progression tracking of medical concepts in electronic medical records.

Electronic medical records (EMRs) for diabetic patients contain information about heart disease risk...

Robotically assisted percutaneous coronary intervention: benefits to the patient and the cardiologist.

Robotic percutaneous interventional systems represent the future of interventional cardiology. Robot...

Stress Testing of an Artificial Pancreas System With Pizza and Exercise Leads to Improvements in the System's Fuzzy Logic Controller.

BACKGROUND: Under controlled conditions, the Dose Safety artificial pancreas (AP) system controller,...

Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.

The second track of the 2014 i2b2 challenge asked participants to automatically identify risk factor...

Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors...

Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk fac...

Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

We present the design, and analyze the performance of a multi-stage natural language processing syst...

Pathology Image of the Month:Cough and Shortness of Breath in a Noncompliant Patient with HIV/AIDS.

A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) w...

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

OBJECTIVE: Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to inte...

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

OBJECTIVE: To develop an expandable knowledge base of reusable knowledge related to self-management ...

Knowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data.

Cell signaling underlies transcription/epigenetic control of a vast majority of cell-fate decisions....

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