Endocrinology

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

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TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.

BACKGROUND: Insulin resistance is an early-stage deterioration of Type 2 diabetes. Identification an...

(1)
Jul 2019 31336327
A curated knowledgebase on endocrine disrupting chemicals and their biological systems-level perturbations.

Human well-being can be affected by exposure to several chemicals in the environment. One such group...

Jul 2019 31349169
Analysis of crystallization phenomenon in Indian honey using molecular dynamics simulations and artificial neural network.

Molecular dynamics simulation was performed on sugar profile and moisture content-based mixture syst...

Jul 2019 31326678
Development of "Predict ME," an online classifier to aid in differentiating diabetic macular edema from pseudophakic macular edema.

PURPOSE: Differentiating the underlying pathology of macular edema in patients with diabetic retinop...

Jul 2019 31290338
Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.

BackgroundManagement of thyroid nodules may be inconsistent between different observers and time con...

(1)
Jul 2019 31287391
A new method for automatic counting of ovarian follicles on whole slide histological images based on convolutional neural network.

The ovary is a complex endocrine organ that shows significant structural and functional changes in t...

Jul 2019 31330319
Deep learning driven QSAR model for environmental toxicology: Effects of endocrine disrupting chemicals on human health.

Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which ...

Jul 2019 31302400
[Maturity Onset Diabetes of the Young: case report].

BACKGROUND: Maturity Onset Diabetes of the Young (MODY) is a type of diabetes that results from muta...

Jul 2019 32242650
Brain tumor classification using deep CNN features via transfer learning.

Brain tumor classification is an important problem in computer-aided diagnosis (CAD) for medical app...

Jun 2019 31279167
Analysis of the Deleterious Single Nucleotide Polymorphisms Impact on Estrogen Receptor Alpha-p53 Interaction: A Machine Learning Approach.

Breast cancer is a leading cancer type and one of the major health issues faced by women around the ...

Jun 2019 31216622
Mitochondrial Psychobiology: Foundations and Applications.

Mitochondrial psychobiology is the study of the interactions between psychological states and the bi...

Jun 2019 32637466
Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.

BACKGROUND: Diabetes mellitus is a chronic disease that impacts an increasing percentage of people e...

Jun 2019 31185988
HTR2C Gene Variant and Salivary Cortisol Levels after Endurance Physical Activity: A Pilot Study.

INTRODUCTION: The 5-hydroxytryptamine 2C receptor (HTR2C) rs6318 polymorphism has been associated wi...

Jun 2019 31167199
SOCIETY FOR ENDOCRINOLOGY EMERGENCY ENDOCRINE GUIDANCE: Emergency management of acute hypocalcaemia in adult patients.

In this addendum to the above paper, the Society for Endocrinology Clinical Committee and the origin...

Jun 2019 32022081
Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques.

Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...

May 2019 31112000
Assessment of risk based on variant pathways and establishment of an artificial neural network model of thyroid cancer.

BACKGROUND: This study aimed to establish an artificial neural network (ANN) model based on variant ...

(2)
May 2019 31138213
Surgical Approaches to the Adrenal Gland.

Adrenalectomy can be performed open, endoscopically or robotically, utilizing a transabdominal or re...

May 2019 31255206
Lessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning.

The Design-Build-Test-Learn (DBTL) cycle, facilitated by exponentially improving capabilities in syn...

(3)
May 2019 31072100
Instant White Rice with Pigmented Giant Embryonic Rice Improves Glucose Metabolism and Inhibits Oxidative Stress in High-Fat Diet-Fed Mice.

The effects of instant cooked rice made from a combination of white rice and pigmented giant embryon...

May 2019 31124742
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