Endocrinology

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

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Showing 3634-3654 of 6,527 articles
Quantification of the effects of single nucleotide variants in NKX2.1 transcription factor binding sites

Transcription factors recognise and bind specific DNA sequence patterns in promoters and enhancers t...

Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound

Introduction: Deep learning-based segmentation models are increasingly integrated into clinical imag...

Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction

Clinical risk prediction models often underperform in real-world settings due to poor calibration, l...

Mobile-Ready Automated Triage of Diabetic Retinopathy Using Digital Fundus Images

Diabetic Retinopathy (DR) is a major cause of vision impairment worldwide. However, manual diagnosis...

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading

Diabetic retinopathy (DR) is one of the leading causes of vision loss worldwide, making early and ac...

XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence

Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption rema...

Development and cross-tissue validation of a methylation profile score for the cortisol response to stress

Hypothalamic-pituitary-adrenal axis (HPA axis) dysregulation is a risk factor for poor mental and ph...

Insulin resistance modifies longitudinal multi-omics responses to habitual diet

How habitual diet influences the gut microbiome and plasma metabolome across insulin resistance stat...

Multi-Model Clinical Validation of an AI-Powered Biomarker Analysis Framework: A Cross-Vendor Benchmark on 4,018 NHANES Patients

Background: Large language models (LLMs) show promise for clinical decision support, yet most valida...

The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems

Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMS...

Genomics link obesity and type 2 diabetes to Alzheimer's disease to unveil novel biological insights

Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheime...

Cellular Aging Signatures in the Plasma Proteome Record Human Health and Disease

Aging is asynchronous across cells and organs, but whether plasma proteins can capture cell type-spe...

AI-Driven Clinical Decision Support System for Enhanced Diabetes Diagnosis and Management

Identifying type 2 diabetes mellitus can be challenging, particularly for primary care physicians. C...

Towards Affordable, Non-Invasive Real-Time Hypoglycemia Detection Using Wearable Sensor Signals

Accurately detecting hypoglycemia without invasive glucose sensors remains a critical challenge in d...

SERPINA3 and NDRG1 are critical diagnostic immune genes associated with macrophages in preeclampsia

Objective: The immune system plays a role in the occurrence and progression of numerous pregnancy co...

Uncertainty-Aware Ordinal Deep Learning for cross-Dataset Diabetic Retinopathy Grading

Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycemia due to i...

Assessing extracellular vesicle proteins as predictive biomarkers for developing type 1 diabetes

Plasma extracellular vesicles (EVs) are considered excellent sources for biomarker discovery since t...

Predicting Obstetric and Non-obstetric Diagnoses Co-occurrences during Pregnancy

Pregnancy care often involves simultaneous obstetric and other medical conditions, but their co-occu...

Brainstem neurons coordinate the bladder and urethral sphincter for urination

Urination, a vital and conserved process of emptying urine from the urinary bladder in mammals, requ...

MLMarker: A machine learning framework for tissue inference and biomarker discovery

MLMarker is a machine learning tool that computes continuous tissue similarity scores for proteomics...

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