Endocrinology

The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen, progesterone, and HER2 receptors, leading to limited treatment options and poor prognosis. This review synthesizes current research on the tumor microenvironment (TME) and immune cell crosstalk in TNBC to identify emerging therapeutic opportunities. The TME in TNBC is a complex ecosystem comprising...

Multi-omics analysis unveils dysregulation of the tumor immune microenvironment and development of a machine learning-based multi-gene classifier for predicting lateral lymph node metastasis in papillary thyroid carcinoma.

PURPOSE: Lateral lymph node metastasis (LNM) critically influences surgical decision-making in papillary thyroid carcinoma (PTC). However, the sensitivity of preoperative imageological examination in detecting LNM remains suboptimal, necessitating the development of more accurate diagnostic and predictive tools. This study aims to identify multi-omics biomarkers and construct a predictive model fo...

Barriers and Enablers Influencing the Implementation of Artificial Intelligence for Diabetic Retinopathy Screening in Clinical Practice: A Scoping Review.

BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness worldwide. Meanwhile, artificial intelligence is rapidly growing in clini...

Identification of stemness subtypes and prognostic modeling in thyroid cancer: the critical role of DPYSL3 in tumor progression and immune microenvironment.

PURPOSE: The objective of this study was to develop and evaluate a novel classifier and prognostic model based on the stemness characteristics of thyr...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people projected to be affected by the year 2045. T2DM sign...

Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis.

BACKGROUND: Endometriosis and breast cancer are significant global health burdens affecting women worldwide. Both conditions share notable characteris...

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study.

BACKGROUND: Diabetic foot problems are among the most debilitating complications of diabetes mellitus. Diabetes prevalence and complications, notably ...

Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women that requires self-management to improve mental and physical healt...

Micropore array-based SERS sensor assisted by convolutional neural networks for subsurface biotoxic-free detection of interstitial fluid in bioassays.

Accurate and sensitive detection of small-molecule metabolites such as uric acid, glucose, and lactic acid is critical in biomedical diagnostics and c...

Adipose-Derived Mesenchymal Stem Cells Accelerate Diabetic Foot Ulcer Healing by Promoting Macrophage M2 Polarization Through Downregulation of and .

PURPOSE: Macrophage polarization plays a critical role in the chronic wound healing of diabetic foot ulcers (DFU). Recent studies have shown that adip...

Direct-to-Consumer Testing: Relevance for Diabetes Therapy.

The performance of laboratory measurements by the people with diabetes (PwD) themselves ("direct-to-consumer testing"; DTCT) is conceptually not new f...

Preventive and therapeutic strategies via health care delivery system to minimize sight-threatening diabetic retinopathy: a narrative review.

PURPOSE OF REVIEW: To highlight various preventive and therapeutic strategies via health care delivery system to minimize sight-threatening diabetic r...

A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach.

Non-adherence to medications is a critical concern since nearly half of patients with chronic illnesses do not follow their prescribed medication regi...

Fully Wearable Devices for Real-Time Health Monitoring and Multimodal Sensing in Nanomedicine Using Multiplexed Green Biofuels.

Fully wearable devices are crucial for real-time health monitoring, but existing devices often lack stable power, on-site signal processing, and multi...

Identification of macrophage-associated diagnostic biomarkers and molecular subtypes in gestational diabetes mellitus based on machine learning.

Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, involving multiple immune and inflammatory factors. Macrophages p...

Machine learning method based on radiomics help differentiate posterior pituitary tumors from pituitary neuroendocrine tumors and craniopharyngioma.

Posterior pituitary tumors (PPTs) are rare neoplasms, but easily misdiagnosed as pituitary neuroendocrine tumor (PitNET) and craniopharyngioma. This s...

Association of urinary metal elements with sarcopenia and glucose metabolism abnormalities: Insights from NHANES data using machine learning approaches.

BACKGROUND: Sarcopenia, a condition marked by the decline of skeletal muscle mass and function, is prevalent in the elderly and closely linked to abno...

Preoperative Identification of Papillary Thyroid Carcinoma Subtypes and Lymph Node Metastasis via Deep Learning-Assisted Surface-Enhanced Raman Spectroscopy.

Accurate preoperative diagnosis of papillary thyroid carcinoma (PTC) histological subtypes and lymph node metastasis is essential for formulating pers...

Prediction and accuracy improvement of insulin pump in-fusion deviation based on LSTM and PID.

In order to further improve the injection precision of the PH300 insulin pump, this paper optimizes and improves the mechanical structure and control ...

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Machine learning is increasingly used to predict lifestyle-related disease onset using health and medical data. However, its predictive accuracy for u...