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Endocrinology Subcategories: Diabetes Menopause Osteoporosis Steroids Thyroid

Showing 1324-1344 of 2,607 articles

Deep learning-based detection and stage grading for optimising diagnosis of diabetic retinopathy.

AIMS: To establish an automated method for identifying referable diabetic retinopathy (DR), defined ...

Mar 2021 PMID: 33713564

A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes.

Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent ...

Mar 2021 PMID: 33712626

A novel artificial intelligence protocol to investigate potential leads for diabetes mellitus.

Dipeptidyl peptidase-4 (DPP4) is highly participated in regulating diabetes mellitus (DM), and inhib...

Mar 2021 PMID: 33687591

Screening of a novel free fatty acid receptor 1 (FFAR1) agonist peptide by phage display and machine learning based-amino acid substitution.

Free fatty acid receptor 1 (FFAR1 or GPR40) has attracted attention for the treatment of type 2 diab...

Mar 2021 PMID: 33706101

The effect of diabetes on major robotic hepatectomy.

Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are co...

Mar 2021 PMID: 33682066

Deep Learning-Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model.

The diabetic retinopathy accounts in the deterioration of retinal blood vessels leading to a serious...

Mar 2021 PMID: 33686525

Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.

To describe a database of longitudinally graded telemedicine retinal images to be used as a comparat...

Mar 2021 PMID: 33686091

GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images.

The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and end...

Mar 2021 PMID: 33674784

Artificial intelligence in health data analysis: The Darwinian evolution theory suggests an extremely simple and zero-cost large-scale screening tool for prediabetes and type 2 diabetes.

AIMS: The effective identification of individuals with early dysglycemia status is key to reduce the...

Feb 2021 PMID: 33647331

Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images.

We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to di...

Feb 2021 PMID: 33638189

Protein glycation - biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine.

Protein glycation provides a biomarker in widespread clinical use, glycated hemoglobin HbA (A1C). It...

Feb 2021 PMID: 33707127

A review on current advances in machine learning based diabetes prediction.

Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged period i...

Feb 2021 PMID: 33642253

Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort.

BACKGROUND: Previously developed prediction models for type 2 diabetes mellitus (T2DM) have limited ...

Feb 2021 PMID: 33631067

Assessment of Thoracic Pain Using Machine Learning: A Case Study from Baja California, Mexico.

Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders,...

Feb 2021 PMID: 33672112

Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.

BACKGROUND: Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics withou...

Feb 2021 PMID: 33647600

Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2.

A new original procedure based on k-means clustering is designed to find the most appropriate clinic...

Feb 2021 PMID: 33671157

The Use of Machine Learning Techniques to Determine the Predictive Value of Inflammatory Biomarkers in the Development of Type 2 Diabetes Mellitus.

Certain inflammatory biomarkers, such as interleukin-6, interleukin-1, C-reactive protein (CRP), an...

Feb 2021 PMID: 33596118

Endocrinology

Browse Categories

Deep learning-based detection and stage grading for optimising diagnosis of diabetic retinopathy.

A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes.

A novel artificial intelligence protocol to investigate potential leads for diabetes mellitus.

Screening of a novel free fatty acid receptor 1 (FFAR1) agonist peptide by phage display and machine learning based-amino acid substitution.

The effect of diabetes on major robotic hepatectomy.

Deep Learning-Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model.

Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.

GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images.

Artificial intelligence in health data analysis: The Darwinian evolution theory suggests an extremely simple and zero-cost large-scale screening tool for prediabetes and type 2 diabetes.

Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images.

Protein glycation - biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine.

A review on current advances in machine learning based diabetes prediction.

Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort.

Assessment of Thoracic Pain Using Machine Learning: A Case Study from Baja California, Mexico.

Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.

Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2.

The Use of Machine Learning Techniques to Determine the Predictive Value of Inflammatory Biomarkers in the Development of Type 2 Diabetes Mellitus.

Diabetes detection using deep learning techniques with oversampling and feature augmentation.

Deep learning for the classification of medical kidney disease: a pilot study for electron microscopy.

The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.

GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models.

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