Endocrinology

Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma Using a Deep Learning Radiomics Model Based on SAM3 Automatic Segmentation of Ultrasound Images: A Multicenter Cohort Study.

RATIONALE AND OBJECTIVES: We aimed to establish a Segment Anything Model 3 (SAM3) based on ultrasound images for automatic papillary thyroid microcarcinoma (PTMC) segmentation and develop and validate a deep learning radiomics (DLR) model based on ultrasound images for noninvasive prediction of central lymph node metastasis (CLNM) in PTMC. MATERIALS AND METHODS: We retrospectively collected data f...

Autonomous Ultrasound Systems: Are We Approaching the Era of Self-Directed Imaging?

BACKGROUND: Ultrasound remains one of the most widely used imaging modalities in clinical practice; however, its effectiveness is highly dependent on operator expertise. Recent advances in artificial intelligence (AI), robotics, computer vision and machine learning have accelerated the development of autonomous ultrasound systems capable of performing imaging tasks with minimal human intervention....

Predictive Modelling of 3-Month Glycemic Target Achievement in Type 2 Diabetes Mellitus Using Artificial Intelligence and Continuous Glucose Monitoring: A Retrospective Cohort Study.

AIMS: To develop and validate a machine learning model incorporating continuous glucose monitoring (CGM) metrics to predict 3-month glycemic target ac...

Accelerated Brain Aging in Type 1 Diabetes Across Painful and Painless Peripheral Neuropathy: MRI-Based Brain Age Estimates From Deep Learning.

Accelerated brain aging has been reported in diabetes, but its links with diabetic peripheral neuropathy (DPN) and neuropathic pain remain unclear. We...

Trace Aqueous Humor Proteome via Macroporous MOF Platform Reveals High-Resolution Molecular Phenotypes of Diabetic Macular Edema.

Diabetic macular edema (DME) is a leading cause of vision impairment worldwide. While aqueous humor (AH) proteomics holds promise for uncovering disea...

The Great Escape: Systems Biology of Endocrine Resistance and Lineage Plasticity.

Endocrine therapies initially enforce lineage identity in hormone-driven cancers, yet sustained hormonal suppression often triggers a coordinated syst...

Behavioral Mechanisms of a Digital Health Intervention for Self-Management in Type 2 Diabetes Mellitus: Prospective Longitudinal Cohort Study.

BACKGROUND: Sustaining self-management is critical for optimizing clinical outcomes in individuals with type 2 diabetes mellitus (T2DM). Although digi...

Deep Learning Algorithm-Guided Raman Spectroscopy for Real-Time Correlation of Critical Process Parameters and Titers in Lentiviral Vector.

Manufacturing scalability and cost efficiency of Lentiviral vector (LV) production for gene therapy are hampered by slow offline detection of critical...

[Clinical and preprocedural factors influencing in vitro fertilization outcomes: a machine learning-based analysis].

Infertility affects 15-20% of the reproductive-age population, and assisted reproductive technologies, particularly in vitro fertilization (IVF), play...

Insulin like growth factor and cytokine signalling predict future cognitive impairment in Parkinson's disease.

Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). However, the onset and severity of cognitive impair...

Bone age estimation from chest radiographs using deep neural networks: a proof-of-concept study.

BACKGROUND: Bone age (BA) is the gold standard for skeletal maturity assessment but is not routinely incorporated into pediatric growth evaluation wor...

Tissue-specific metabolite profiling reveals diverse metabolic response under N deficiency and high temperature stress in soybean.

INTRODUCTION: Climate change has increased the incidence of compound stresses, including the co-occurrence of nitrogen deficiency (-N) and high temper...

A three-metabolite microbiota-associated signature for early risk stratification of gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and long-term metabolic and cardiovascular risk. However...

CAMI-DM: Development and validation of a multi-algorithm model for in-hospital mortality risk prediction in diabetic patients with acute myocardial infarction - The China acute myocardial infarction registry.

Patients with diabetes constitute a substantial proportion of those with acute myocardial infarction (AMI) and exhibit distinct pathophysiological cha...

Integrative multi-omics analysis identifies VCAN and ESM1 as candidate cell-type-associated biomarkers of NET-related glomerular injury in diabetic kidney disease.

Diabetic kidney disease (DKD) involves complex inflammatory and microvascular injury, but cell-specific molecular signatures linked to neutrophil extr...

Prediction of Incident Atrial Fibrillation and Association With Outcomes Using Routine Electronic Health Records in a Western Pacific Population.

BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. P...

A study on risk factors for the progression from T2DM to end-stage renal disease based on Mendelian randomization and logistic regression analysis.

Using two-sample Mendelian randomization (MR) based on GWAS data from the IEU OpenGWAS project and a retrospective clinical cohort, this study investi...

A polyline searching-driven evolutionary AI for disease detection of medical imaging data.

Objective Accurate Ultrasound (US) prostate cancer (PCa) segmentation images hold significant value for organ interventional guidance and clinical...

Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies.

This scoping review synthesized clinical validation evidence of artificial intelligence (AI) algorithms for diabetes-related foot ulcer (DRFU) detecti...

Radiomics Model Predicts Efficacy of First-Line CDK4/6 Inhibitor Combined with Endocrine Therapy in HR+/HER2- Advanced Breast Cancer.

INTRODUCTION: The combination of CDK4/6 inhibitors and endocrine therapy is the first-line standard regimen for advanced HR⁺/HER₂⁻ breast cancer. Howe...