Endocrinology

Machine learning-based prediction of central lymph node metastasis in unifocal papillary thyroid microcarcinoma.

OBJECTIVE: This study aims to develop a machine learning (ML) model to predict the risk of central lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC) using a combination of clinical and ultrasound features. METHODS: Multiple ML models were integrated, with least absolute shrinkage and selection operator regression applied for feature selection and a LightGBM mode...

MYO1C is a urinary extracellular vesicle biomarker and mediator of podocyte injury in diabetic nephropathy.

Type 2 diabetic nephropathy (T2DN) is a major complication of type 2 diabetes and a leading cause of chronic kidney disease. This study aimed to explore MYO1C as both a candidate biomarker and elucidate its role as a mechanistic mediator of podocyte injury in T2DN. Using urinary extracellular vesicle RNA biomarkers identified from a training and validation cohort of 33 type 2 diabetes and 40 T2DN ...

Sleep deprivation and epiretinal membrane risk: Machine learning findings from a nation-wide survey.

PURPOSE: This cross-sectional study explored the association between sleep deprivation and epiretinal membrane (ERM) using machine learning applied to...

How do chronic diseases affect personal and household income? A double debiased machine learning analysis of the China health and retirement longitudinal study (CHARLS) in older adults.

OBJECTIVES: This study aimed to investigate the impacts of chronic diseases such as hypertension, dyslipidaemia and diabetes on personal and household...

ProteoAutoNet: high-throughput co-eluted protein analysis with robotics and machine learning.

Co-fractionation mass spectrometry (CF-MS) enables large-scale profiling of endogenous protein-protein interactions, yet CF-MS data generation is of l...

The discordance of remnant cholesterol and low-density lipoprotein cholesterol as a predictor of diabetes, diabetic microvascular diseases, and cardiovascular disease.

BACKGROUND: The impact of discordance between remnant cholesterol (RC) and low-density lipoprotein cholesterol (LDL-c) on diabetes, diabetic kidney di...

Molecular networking, conformal predictions and revised fingerprint-based models for discovering endocrine disruptors in mixtures.

Prioritizing high-risk features is a key step to reduce workload in non-targeted screening (NTS) when identifying environmental contaminants. Machine ...

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes.

Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to blood glucose fluctuations ranging from hypoglycemia...

Deep learning architectures for modeling and forecasting stroke cases in Ghana.

INTRODUCTION: Stroke remains a leading cause of global morbidity and mortality, ranking second in deaths and third in disability-adjusted life years (...

Artificial Intelligence Applications in Thyroid Cancer Care.

CONTEXT: Artificial intelligence (AI) has created tremendous opportunities to improve thyroid cancer care. EVIDENCE ACQUISITION: We used the "artifici...

Cooking and eating quality of ethnic Bora rice (Oryza sativa L.): machine learning-based prediction of resistant starch content in ready-to-eat products.

BACKGROUND: Assamese glutinous Bora rice (Oryza sativa L.) is widely used for various ethnic food preparations. However, its resistant starch (RS) con...

Insights and Advances in Physical Activity Research on Youth with Type 1 Diabetes.

PURPOSE OF REVIEW: Most youth with type 1 diabetes (T1D) do not meet the guidelines for physical activity engagement, thereby diminishing potential be...

The Role of Chemical Engineers in the Pharmaceutical Industry.

Chemical engineers have played a vital role in the pharmaceutical industry for more than a century, bridging the gap between scientific discovery and ...

Annotation-free 3D reconstruction and quantification of retinal microvasculature by RADAR.

Three-dimensional mapping of retinal microvasculature is essential for monitoring systemic vascular health. Existing methods rely heavily on manual an...

Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening.

Diabetic Retinopathy (DR) is a critical source of blindness that can be prevented globally, and accurate analysis of retinal fundus images enables ear...

[Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning].

OBJECTIVES: To develop and validate a multimodal radiomics model based on machine learning for predicting central lymph node metastasis (CLNM) in pati...

An online interpretable machine learning model for predicting cardiometabolic multimorbidity risk in patients with type 2 diabetes mellitus.

Cardiometabolic multimorbidity (CMM), a major complication in type 2 diabetes mellitus (T2DM), increases mortality and healthcare burden. Early identi...

The role of artificial intelligence in obstetrics and gynecology: Innovations, challenges, and opportunities explored through a bibliometric analysis.

OBJECTIVE: Artificial intelligence (AI) applications have garnered increasing interest in obstetrics and gynecology. This study aims to analyze the ev...

Combined effects of persistent organic pollutants and endocrine-disrupting chemicals on thyroid disease risk: A WQS-XGBoost analysis of US population data.

To assess the combined effects of mixed persistent organic pollutants and endocrine-disrupting chemicals on thyroid disease risk, we analyzed data fro...

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging.

Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and...