Endocrinology

Pathway to precision: machine learning and bioinformatics in diabetes gene expression studies.

BACKGROUND: Diabetes mellitus is a metabolic disorder; understanding the pathogenic mechanisms underlying diabetes is crucial. Analyzing biomarkers, supported by machine learning and bioinformatics, is crucial for identifying the molecular causes of diabetes. OBJECTIVE: This study summarizes the current advances in diabetes research, highlighting significant progress in bioinformatics, gene expres...

The efficacy of CGM driven machine learning algorithms in predicting hypoglycemia in patients with T1DM: a systematic review and meta-analysis.

PURPOSE: An important function of continuous glucose monitoring (CGM) is to alert individuals with type one diabetes mellitus (T1DM) to impending hypoglycemia, however, it lacks the ability to predict episodes beyond 30 min. Machine learning (ML) algorithms incorporating other contextual data can be used to overcome this deficiency. This study aims to quantitatively evaluate the diagnostic accurac...

BRAIN-META: A reproducible CNN-vision transformer meta-ensemble pipeline for explainable brain tumor classification.

This study presents BRAIN-META, a reproducible deep learning methodology designed for multi-class brain tumor classification using structural MRI. The...

Endocrinology in maternal-fetal synchronization and developmental origins of susceptibility to metabolic diseases.

The biological clock enables organisms to align their intrinsic rhythms with daily environmental cycles thereby maintaining homeostasis and imparting ...

AI in Reproductive Medicine: Hope or Hype?

Artificial intelligence (AI) is increasingly used in reproductive endocrinology and infertility (REI), influencing nearly all aspects of assisted repr...

CAI Score for the Diagnosis of Central Adrenal Insufficiency.

BACKGROUND: Diagnosing central adrenal insufficiency (CAI) is challenging in patients with inconclusive morning cortisol (4-18 µg/dL). Dynamic tests l...

Cellular and molecular determinants of lymph node metastasis in papillary thyroid carcinoma: Integrated multi-omics profiling and machine learning models.

The mechanisms underlying lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remain elusive. This study integrated single-cell RNA seque...

Synergistic impact of insulin resistance and hepatic fibrosis on cardiovascular events in patients with coronary artery disease: A machine learning subtyping and interaction analysis.

BACKGROUND AND AIMS: Insulin resistance (IR) and hepatic fibrosis are significant yet underexplored synergistic risk factors for cardiovascular events...

A novel multimodal diagnostic framework integrating hyperspectral imaging and deep learning for predicting RET gene mutations in medullary thyroid carcinoma.

BACKGROUND AND OBJECTIVE: Medullary thyroid carcinoma (MTC) is an aggressive malignancy driven predominantly by activating mutations in the RET proto-...

A case-control study of volumetric segmentation of extraocular muscles from MRI images in thyroid eye disease.

PurposeThis study aimed to develop a reproducible manual segmentation method using a computer-assisted technique and to (1) compare extraocular muscle...

Advances in endometrial cancer screening: a comprehensive review of current methods and emerging technologies.

Endometrial cancer represents a major global health concern, with rising incidence particularly in developed countries despite declining mortality rat...

Urinary steroid metabolome shows adrenal, gonadal, and neuroactive steroid dysregulation in adolescents with depressive symptoms.

BACKGROUND: Steroid hormone profiles in affective disorders suggest hypothalamic-pituitary-adrenal (HPA) axis dysregulation and may reveal novel thera...

Current applications of artificial intelligence in assisted reproductive technologies.

INTRODUCTION: Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, optimizing treatment plans, and improving patient o...

AI-powered literature mining reveals the therapeutic significance of GLP-1 receptor: Simulation of natural agonist candidates based on molecular dynamics.

Glucagon-like peptide-1 (GLP-1), a pivotal incretin hormone modulating glycemic homeostasis, has emerged as a clinically validated target for the trea...

Toxicophore-informed machine learning integrating Tox21 assay readouts for organ system-specific carcinogenicity prediction.

Accurate identification of carcinogenic hazards is essential for public health protection, yet traditional animal-based assays are time-consuming, exp...

Machine Learning for diagnosis of malignant thyroid nodules based on thyroid ultrasound: Systematic review and meta-analysis of studies with external datasets.

INTRODUCTION: Optimizing the diagnostic approach to thyroid nodules remains a crucial challenge. Ultrasound-based risk stratification systems such as ...

Explainable machine learning-driven predictive modelling of incident cognitive impairment in individuals with early-stage cardiovascular-kidney-metabolic syndrome: Insights from a longitudinal CHARLS cohort study.

AIMS: While cardiovascular-kidney-metabolic (CKM) syndrome has been recognised as a continuum of interconnected metabolic, renal, and cardiovascular d...

Detection of Acromegaly From Facial Images Using Machine Learning: A Comparison With Clinical Experts.

CONTEXT: Substantial diagnostic delay in acromegaly contributes to increased morbidity and mortality. Screening attempts in high-risk groups have yiel...

Machine learning-based binary classification of elevated HbA1c (≥6.5 %) for risk assessment.

OBJECTIVE: One of the most important biomarkers for evaluating long-term glycemic management and estimating the risk of diabetes is glycated hemoglobi...

Prediction model for the risk of vitreous haemorrhage after vitrectomy combined with intraocular injection for the treatment of proliferative diabetic retinopathy.

OBJECTIVE: The purpose of this study was to develop a lightweight multimodal deep learning model for accurately predicting the risk of postoperative v...