Endocrinology

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

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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ...

Circulating Levels of Soluble Klotho and Fibroblast Growth Factor 23 in Diabetic Patients and Its Association with Early Nephropathy.

INTRODUCTION: Diabetic nephropathy is a leading cause of chronic kidney disease (CKD). In diabetes, ...

Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling.

PPAR-δ agonists are known to enhance fatty acid metabolism, preserving glucose and physical enduranc...

Analysis of Endonasal Endoscopic Transsphenoidal (EET) surgery pathway and workspace for path guiding robot design.

BACKGROUND: Endoscopic Endonasal Transsphenoidal Surgery (EETS) is the standard method to treat pitu...

Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican popu...

The Importance of G-protein Coupled Estrogen Receptor in Patients With Fibromyalgia.

OBJECTIVES: This study aims to analyze the G-protein coupled estrogen receptor (GPER/GPR30) activity...

Fluorescent silicon nanoparticles inhibit the amyloid fibrillation of insulin.

Amyloid fibrillation of proteins is likely a key factor leading to the development of amyloidosis-as...

Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.

BACKGROUND: Fear of exercise related hypoglycemia is a major reason why people with type 1 diabetes ...

Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization.

Thyroid disease has now become the second largest disease in the endocrine field; SPECT imaging is p...

Artificial neural networks in the selection of shoe lasts for people with mild diabetes.

This research addressed the selection of shoe lasts for footwear design to help relieve the pain ass...

Sleep Duration and Diabetic Kidney Disease.

Abnormally short or long durations of sleep have been proposed as a risk factors for diabetes and i...

Developmental Dioxin Exposure Alters the Methylome of Adult Male Zebrafish Gonads.

2,3,7,8-Tetrachlorodibenzo--dioxin (TCDD) is a persistent environmental toxicant and endocrine disru...

Prediction of Recurrence after Transsphenoidal Surgery for Cushing's Disease: The Use of Machine Learning Algorithms.

BACKGROUND: There are no reliable predictive models for recurrence after transsphenoidal surgery (TS...

Machine learning models for predicting endocrine disruption potential of environmental chemicals.

We introduce here ML4Tox, a framework offering Deep Learning and Support Vector Machine models to pr...

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.

Accurate and automatic organ segmentation is critical for computer-aided analysis towards clinical d...

Elevated Serum Growth Differentiation Factor 15 Levels in Hyperthyroid Patients.

Recent studies have shown that growth differentiation factor 15 (GDF15), a member of the transformi...

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.

BACKGROUND: In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules ...

Quantitation of serum 25(OH)D2 and 25(OH)D3 concentrations by liquid chromatography tandem mass spectrometry in patients with diabetes mellitus.

Vitamin D has been considered to regulate calcium and phosphorus homeostasis and to preserve skeleta...

Effects of Progesterone and 17β-Estradiol under Presence or Absence of FBS on Plasminogen Activators Activity in Porcine Uterine Epithelial Cells.

The present study was conducted to investigate the regulatory mechanism of plasminogen activators (P...

Ultrasonic pretreatment of food waste to accelerate enzymatic hydrolysis for glucose production.

Recovering valuable materials from food waste by applying the concept of a bio-refinery is attractin...

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