Endocrinology

Plasma proteomic signatures of cellular aging predict human disease.

Aging is asynchronous across cells and organs. Here we tested whether plasma proteomics can be used to analyze cell type-specific aging. From analyses of over 7,000 plasma proteins measured in 60,542 individuals, we developed machine learning models to estimate the biological age of over 40 cell types spanning neuronal, immune, glial, endocrine, epithelial and musculoskeletal origins. We observed ...

Non-invasive imaging diagnostic techniques in metabolic dysfunction-associated steatotic liver disease: a roadmap for clinicians.

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed nonalcoholic fatty liver disease (NAFLD), is the most prevalent chronic liver disorder globally and is strongly associated with obesity, type 2 diabetes mellitus, and the metabolic syndrome. Accurate and timely assessment of hepatic steatosis and fibrosis is critical for risk stratification and therapeutic monitori...

Engagement with an AI- and CGM-Integrated Digital Health Platform Is Associated with Clinically Significant Weight Loss.

BACKGROUND: Obesity affects millions of U.S. adults and is linked to cardiometabolic disease. This study examined whether user engagement with the Sig...

Advances in diabetes technology: clinical implications, limitations, and future perspectives.

Diabetes technology has transformed substantially over the past two decades, becoming central to modern diabetes management. Continuous glucose monito...

Artificial Intelligence in Self-Management of Gestational Diabetes Mellitus: A Systematic Review.

The prevalence of gestational diabetes mellitus (GDM) continues to rise, necessitating reliable and effective self-management strategies to improve ma...

Molecular Landscape and Advanced Diagnostic Technologies for BRAF Mutations in Cancer: From Quantitative PCR and ddPCR to CRISPR-Based Platforms.

BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyroid carcinoma, colorectal cancer, non-small cell lu...

Multifunctional Bioengineered Scaffolds and Adjunct Therapeutic Strategies for Diabetic Foot Ulcers.

Diabetic foot ulcers (DFUs) are chronic, non-healing wounds that affect up to 34% of diabetic patients. DFUs are complicated by infection in nearly 60...

Comparison of ChatGPT and dietitians in formulating diet plans and recommendations for patients with cardiometabolic diseases.

BACKGROUND: Artificial Intelligence (AI) is transforming personalized medicine, yet its efficacy constitutes a dynamic factor in the field of health a...

Interpretable machine learning distinguishes skip from continuous metastasis in N1b papillary thyroid carcinoma.

Skip metastasis-defined as lateral lymph node metastasis(N1b) in the absence of central lymph node involvement-represents a distinct yet underrecogniz...

Gray-zone decisions in subclinical hypothyroidism: a qualitative analysis of ChatGPT responses.

BACKGROUND: The management of subclinical hypothyroidism can at times present a gray area for clinicians due to heterogeneous clinical features, varia...

Functional Imaging in Hereditary Endocrine Neoplasms: Evolving Modalities and Clinical Implications.

Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their multisystem involvement, variable penetrance, and h...

Spinal cord FDG PET uptake in healthy adults: an AI-driven segmentation study.

PURPOSE: 18F-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET)/Computerized Tomography (CT) is an important imaging modality in oncology, bu...

Exploring the ROS-Related Therapeutic Mechanism of Bushen Huoxue Decoction in Postmenopausal Osteoporosis through Transcriptomics and Network Pharmacology.

INTRODUCTION: Postmenopausal osteoporosis (PMOP) involves bone loss and fracture risk, driven by estrogen deficiency, oxidative stress, immune dysregu...

Swin-DRNet: A robust transformer framework for diabetic retinopathy screening under heterogeneous imaging conditions.

Diabetic retinopathy (DR) has been known as one of the leading preventable causes of vision impairment globally and requires automated screening syste...

Development and prospective evaluation of a real-time deep learning model for inpatient hypoglycemia prediction.

Inpatient hypoglycemia is associated with increased morbidity, mortality, length of stay, and healthcare costs, yet current management remains reactiv...

Machine learning-based prediction of mortality and hospitalization in diabetic patients with heart failure with preserved ejection fraction: the GUARDIAN-P risk score.

AIMS: Diabetes mellitus (DM) is a major contributor to adverse outcomes in patients with heart failure with preserved ejection fraction (HFpEF). We ai...

ProptoView: AI-based digital exophthalmometry using multi-view facial images in a multinational validation study.

BACKGROUND: Accurate proptosis measurement is vital for managing thyroid eye disease (TED) and other orbital conditions. However, current approaches h...

Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population.

OBJECTIVE: Comparative evaluations of commercially available artificial intelligence (AI) systems for use in diabetic retinopathy (DR) screening, part...

Identifing two distinct cortical progression subtypes of Parkinson's disease through multimodal neuroimaging.

PURPOSE: To investigate whether distinct patterns of cortical involvement exist in Parkinson's disease (PD) and to characterize their potential progre...

Identifying PLAU as a shared pathogenic gene in type 2 diabetes and bladder urothelial carcinoma through integrated transcriptomic analysis and machine learning for diagnostic and therapeutic value.

Type 2 diabetes mellitus (T2DM) and bladder urothelial carcinoma (BLCA) are two kinds of diseases that seriously threaten human health. Their pathogen...