Endocrinology

An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification.

Diabetic retinopathy (DR) is one kind of eye disease that is caused by overtime diabetes. Lots of pa...

Artificial intelligence in diabetic retinopathy: A natural step to the future.

Use of artificial intelligence in medicine in an evolving technology which holds promise for mass sc...

Use of Artificial Intelligence to Improve Diabetes Outcomes in Patients Using Multiple Daily Injections Therapy.

A novel machine learning-derived decision tree including uPA/PAI-1 for breast cancer care.

Background uPA and PAI-1 are breast cancer biomarkers that evaluate the benefit of chemotherapy (CT)...

Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery.

OBJECTIVES: Laparoscopic metabolic surgery (MxS) can lead to remission of type 2 diabetes (T2D); how...

An outcome model approach to transporting a randomized controlled trial results to a target population.

OBJECTIVE: Participants enrolled into randomized controlled trials (RCTs) often do not reflect real-...

Machine learning approaches to decipher hormone and HER2 receptor status phenotypes in breast cancer.

Breast cancer prognosis and administration of therapies are aided by knowledge of hormonal and HER2 ...

[Down-regulated PTTG1 expression promotes the senescence of human prostate cancer LNCaP-AI].

OBJECTIVE: To investigate the effect of the down-regulated expression of pituitary tumor-transformin...

Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks.

For patients undergoing surgical cancer resection of squamous cell carcinoma (SCCa), cancer-free sur...

Deep convolutional neural network models for the diagnosis of thyroid cancer - Authors' reply.

Deep convolutional neural network models for the diagnosis of thyroid cancer.

Deep convolutional neural network models for the diagnosis of thyroid cancer.

Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm...

Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomog...

Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks.

PURPOSE: Many studies have proposed predictive models for type 2 diabetes mellitus (T2DM). However, ...

ADRENAL INCIDENTALOMA, BREAST CANCER AND UNRECOGNIZED MULTIPLE ENDOCRINE NEOPLASIA TYPE 1.

BACKGROUND: The incidence of adrenal incidentaloma has been increasing proportional to the use of ra...

Designing an Engineered Construct Gene Sensitive to Carbohydrate In-vitro and Candidate for Human Insulin Gene Therapy In-vivo.

Diabetes is a common disorder worldwide, and exhaustive efforts have been made to cure this disease....

DOES THE 25-OH-VITAMIN D LEVEL AFFECT THE INSULIN RESISTANCE IN THE PATIENTS WITH NON-DIABETIC CHRONIC KIDNEY DISEASE?

INTRODUCTION: The aim of this study was to investigate the effects of vitamin D deficiency on insuli...

Endometriosis Knowledgebase: a gene-based resource on endometriosis.

Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~...

Fuzzy logic based risk assessment system giving individualized advice for metabolic syndrome and fatal cardiovascular diseases.

In 2005, global cardiovascular diseases caused 30% of deaths in Europe, which is 46% of total deaths...

News and Views: A Roundup of some new developments in diabetes.