Endocrinology

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

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Inflammation-mediated diabetes-liver disease cross-organ crosstalk: From molecular mechanisms to precision therapeutic strategies.

The rising global prevalence of diabetes mellitus and its liver complications presents a significant...

Jun 2026 42342070
Elucidating the therapeutic targets and multi-target mechanisms of salvianolic acid A for diabetic nephropathy.

Diabetic nephropathy (DN) is a leading cause of chronic kidney disease. Salvianolic acid A (SAA) has...

Jun 2026 42342966
Metabolomic signatures of brain aging: A multimodal and genetic study.

Accelerated brain aging is increasingly recognized as a transdiagnostic risk factor for neuropsychia...

Jun 2026 42337012
Frailty index and type 2 diabetes with renal complications: insights from Mendelian randomization and retrospective observational study.

OBJECTIVES: To investigate the relationship between frailty and diabetic kidney disease (DKD)-relate...

Jun 2026 42336394
Recent advances in point-of-care colorimetric biosensors for detecting small molecule metabolites.

In the context of the growing need for decentralized diagnostics, the colorimetric method emerges as...

Jun 2026 42300433
Precision Nutrition and Chronic Disease: Integrating Genomics, Microbiome, and Digital Health for Personalized Dietary Interventions.

Chronic non-communicable diseases (NCDs), including cardiovascular disease, type 2 diabetes, obesity...

Jun 2026 42336239
Privacy-aware diabetic retinopathy grading and visual lesion-focused interpretability through mixture-of-experts federated deep learning with explainable AI.

Diabetic Retinopathy (DR) is still a major cause of vision loss that can be avoided. This means that...

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Jun 2026 42336935
An interpretable machine learning model for diabetic foot risk classification in patients with diabetes.

Diabetic foot is a severe chronic complication of diabetes, mainly resulting from peripheral neuropa...

Jun 2026 42336969
Cardiometabolic multimorbidity and atrial fibrillation: insights from traditional statistical and artificial intelligence approaches.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is increasingly prevalent among patients with atria...

Jun 2026 42332627
Integrating neurobiological markers to prospectively predict adolescent non-suicidal self-injury and suicide attempts: a machine learning approach.

BACKGROUND: Suicide attempts (SA) and non-suicidal self-injury (NSSI) are closely related phenomena,...

Jun 2026 42332814
The Value of a Predictive Model Based on Multimodal Ultrasound Imaging Biomarkers Combined with Clinical Features in the Diagnosis of Thyroid Nodules.

INTRODUCTION: This study aimed to develop and validate diagnostic models for distinguishing benign a...

Jun 2026 42333842
Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy.

BACKGROUND International guidelines recommend early screening based on targeted risk factors to iden...

Jun 2026 42324747
Multi-Omics Analyses Reveal BPA Accelerates Glioma Progression via Cell Cycle Dysregulation.

Bisphenol A (BPA), a pervasive environmental endocrine disruptor, its role in glioma progression is ...

Jun 2026 42331244
An intelligent MRI-based all-in-one diagnostic strategy for axillary lymph node status in breast cancer.

An integrated diagnostic strategy of preoperative identification of sentinel lymph node (SLN) metast...

Jun 2026 42331837
Transcriptomic identification of key genes influencing m7G modification in thyroid carcinoma and experimental validation.

BACKGROUND: N7-methylguanosine (m7G) modification plays a critical role in RNA metabolism and is inc...

Jun 2026 42332284
Case study application of high-throughput new approach methodologies for exposure to the interpretation of matched biomarker and indoor media measurements.

BACKGROUND: The U.S. Environmental Protection Agency, under its exposure forecasting (ExpoCast) proj...

Jun 2026 42323470
Precision neuroprotection in cardiac surgery: a structured narrative review of multimodal, data-driven perioperative care.

Neurological injury remains a major contributor to morbidity, mortality, and long-term cognitive dec...

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Jun 2026 42324480
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