Endocrinology

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

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Showing 337-357 of 6,468 articles
Integrated multi-omics analysis suggests a potential mechanism of DEHP-induced monocyte infiltration in MASH via the FOS-CCL3/4 axis.

OBJECTIVE: Di-(2-ethylhexyl) phthalate (DEHP) is a widespread environmental obesogen; however, its i...

(2)
Jul 2026 42501686
A bibliometric analysis of global trends in AI-driven digital health technologies for diabetes management.

BACKGROUND: Digital health technologies are increasingly applied in diabetes care, enabling continuo...

Jul 2026 42499048
Noninvasive diabetes mellitus classification based on HbA1c using the mel-frequency cepstral coefficients from the photoplethysmographic signal.

Diabetes mellitus (DM) is a metabolic condition with improper regulation of blood sugar levels a...

Jul 2026 42497900
Evaluating the Intermediate Suspicion Category in Thyroid Nodules with AI Assistance: A Comparative Analysis of C-TIRADS, ACR-TIRADS, and ATA Guidelines.

OBJECTIVE: To compare diagnostic performance and fine-needle aspiration (FNA) decision-making for th...

Jul 2026 42498197
The Value of Deep Learning in Differentiating Thyroid Adenomatoid Nodules on Ultrasound: A Dual-Center Study.

RATIONALE AND OBJECTIVES: Follicular neoplasms are difficult to classify by ultrasound, as they ofte...

Jul 2026 42493350
Integration of hierarchical clustering in hematologic biomarkers prediction for endocrine toxicity during immunotherapy in lung cancer patients.

Immune check-point inhibitors (ICIs) have outstandingly changed the treatment for lung cancer patien...

(1)
Jul 2026 42493517
Classifying Diabetic and Healthy β-Cells in Type 2 Diabetes Using Machine Learning on Single-Cell RNA Sequencing Data.

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impai...

(1)
Jul 2026 42500329
The mediating role of genes in the influence of intestinal flora on type 2 diabetes and the screening of diagnostic markers.

INTRODUCTION: The composition of intestinal flora affects the occurrence and development of type 2 d...

Jul 2026 42489317
Model-Guided Optimization of a Low-Serum Medium for Madin-Darby Canine Kidney Cells Using a Kolmogorov-Arnold Network and Bayesian Optimization.

Madin-Darby canine kidney (MDCK) cells are important hosts for cell culture-based viral vaccine prod...

(2)
Jul 2026 42490010
Optimized Metabolic Conditions Reveal the Adipogenic Competence of Wharton's Jelly MSCs: Insight from Literature Review and Experimental Validation.

Mesenchymal stromal/stem cells (MSCs) derived from distinct tissue niches exhibit marked functional ...

Jul 2026 42490019
The transcriptional landscape in thyroid cancer: current status of circulating biomarkers and liquid biopsy approaches.

INTRODUCTION: Thyroid cancer is the most common endocrine malignancy, and despite advances in unders...

Jul 2026 42490163
Digital phenotyping of CGM engagement reveals distinct glycemic outcomes.

Benefits from continuous glucose monitors (CGMs) may depend on how devices are used over time-not on...

Jul 2026 42490562
Luteolin reduces glucose uptake and malignant phenotypes in pancreatic ductal adenocarcinoma cells: an integrated bioinformatics and in vitro study.

Pancreatic ductal adenocarcinoma (PDAC) exhibits marked metabolic plasticity, but the effects of lut...

Jul 2026 42503269
E-DCNNBAE: design of a novel segmentation and classification approach for brain tumour prediction.

Context: Health plays an essential role in human life, particularly brain health, which supports vit...

Jul 2026 42483885
Effect of cataracts on systemic factor prediction from fundus images.

OBJECTIVE: To evaluate the effect of cataracts on systemic factor predictions from fundus images by ...

(3)
Jul 2026 42484678
Deep Learning-Driven Anticancer Drug Discovery: Emodepside as a Potential Therapeutic Candidate for Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with a poor prognosis. T...

(2)
Jul 2026 42486779
VN1K is a pangenome-informed multi-omics and phenomics resource for the Vietnamese population.

The population of Vietnam remains underrepresented in global genomic databases. Here, we present VN1...

Jul 2026 42486871
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