Endocrinology

Clustering beyond the binary: Stable machine-learning phenotypes of metabolic syndrome.

BACKGROUND AND OBJECTIVES: Metabolic syndrome (MetS) is defined by binary thresholds on waist circum...

A Comparative Cross-sectional Study Assessing the Readability of ChatGPT and UpToDate Content on Multiple Endocrine Neoplasia Syndromes.

BACKGROUND: With growing reliance on digital health tools, the readability of online medical content...

Can Machine Learning Transform the Diagnostic Approach to Congenital Disorders of Adrenal Steroidogenesis?

Using machine learning to discriminate non-classical 21-hydroxylase deficiency from polycystic ovary syndrome: an external validation study.

INTRODUCTION: Nonclassical 21-hydroxylase deficiency (NC21OHD) is a rare autosomal recessive disorde...

Heterogeneity, longitudinal decline, and metabolic risk in MRI-based quantification of 20 individual hip and thigh muscles.

Quantifying muscle health at scale has been limited by the difficulty of segmenting individual muscl...

A comparative and interpretable machine learning framework for reliable diabetes risk prediction.

Diabetes mellitus is a common type of metabolic illness that is very common worldwide, and in most c...

Construction and validation of a machine learning model for predicting early pregnancy in patients with polycystic ovary syndrome: a retrospective cohort study.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a leading cause of female infertility, and early preg...

Seamless human electronics interfacing through advanced skin attachable and implantable sensor technologies.

The transition from episodic clinical assessment to continuous physiological monitoring represents a...

Hearing Loss in Older Adults: Consistent Determinants Across Two Community-Based Cohorts in Southern China.

BACKGROUND: Hearing loss (HL) is common in older adults and is associated with substantial functiona...

A multicenter study on the prediction model for chronic low back pain after lumbar decompression surgery in patients with diabetes mellitus: integration of metabolic and paraspinal muscle features.

OBJECTIVE: Based on multicenter clinical data, this study aimed to develop and validate a predictive...

Modeling Dyadic Interdependence in Endocrine Functioning: A Multilevel Machine Learning Study of Adults with Cancer and Their Caregivers.

OBJECTIVE: This study evaluated dyadic endocrine interdependence among cancer patients and their spo...

Identifying critical period of type 2 diabetes in Chinese population with leading molecules based on dynamic network biomarkers.

Diabetes has become a significant global public health challenge, and prediabetes (preD), as the ear...

Identification of candidate genes and metabolites associated with lactation performance in Kazakh mares using blood multi-omics and machine learning.

BACKGROUND: The Kazakh mare, an indigenous breed of Xinjiang, exhibits strong adaptability to arid a...

Comprehensive and low-cost machine learning models for predicting MASLD prevalence: cross-sectional evidence from the amol cohort study (AmolCS).

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a growing global health ...

The reliability-clarity paradox in vascular digital health: A nurse-led evaluation of ChatGPT-4's accuracy in diabetic foot ulcer management.

BACKGROUND: Diabetic foot ulcers remain a leading cause of non-traumatic amputations worldwide, nece...

A Unified Molecular Graph and Protein Language Model Framework for Predicting Human Drug-Hormone Receptor Interactions with Structure-Aware Validation.

Hormones regulate many essential biological processes by interacting with specific receptors that co...

Interpretable deep learning to predict one year glycemic control in type 1 diabetes using real world data.

Type 1 diabetes (T1D) involves long-term health risks and challenges in individualizing therapeutic ...

PCOSFusion: a hybrid HOG-LBP feature-based approach for PCOS classification using StackPCOS and StackBoostPCOS.

Polycystic Ovary Syndrome (PCOS) is a prevalent condition affecting female reproductive health, wher...

Association between glucose-to-platelet ratio and all-cause mortality in critically ill patients with acute myocardial infarction: a retrospective cohort study.

BACKGROUND: Acute myocardial infarction (AMI) in critically ill patients is associated with high mor...

Multi-omics integration identifies macrophage senescence driven by the RUNX1-P53 axis as a key mechanism in diabetic foot ulcer.

Diabetic foot ulcer (DFU) is a severe complication of diabetes, characterized by chronic inflammatio...

Perioperative prediction of adnexal malignancy by an interpretable machine learning model for guiding ovarian preservation in premenopausal endometrial cancer.

BACKGROUND: Ovarian preservation in premenopausal patients with endometrial cancer remains challengi...