Dermatology

Integrative multi-omics and network toxicology reveal candidate molecular targets of deoxynivalenol in melanoma.

Deoxynivalenol (DON) has been reported to exhibit skin toxicity and carcinogenic potential; however, its effects on melanoma remain unclear. We integrated network toxicology, single-cell transcriptomic analysis, molecular docking, and publicly available Human Protein Atlas immunohistochemical evidence to investigate the potential toxicological effects of DON on melanoma and identify candidate mole...

AI-Assisted Automated Two-Stage Patch Test Interpretation System Using Vision Transformer.

BACKGROUND: Patch testing, the gold standard for allergic contact dermatitis (ACD) diagnosis, suffers from inter-observer variability. We developed a Vision Transformer-based automated patch test interpretation system. METHODS: This retrospective two-centre study included 424 patients (734 images) using the Korean Standard Series (25 allergens). Four model variants-3-class and 6-class classificati...

Simulating the Dedifferentiation Process of Thyroid Cancer: Insights from Mouse Models and Ultrasound Imaging.

RATIONALE AND OBJECTIVE: Anaplastic thyroid carcinoma (ATC) may arise from the progression of differentiated thyroid cancers, but the mechanisms are n...

DAPR-AM-Net: an end-to-end smart farming system powered by dual-attention progressive refinement and adaptive MixUp for explainable tomato leaf disease classification and forecasting.

Vision-based crop disease diagnosis plays a pivotal role in smart agriculture, yet challenges such as complex field backgrounds, high intra-class simi...

Plasma metabolomics combined with machine learning for postoperative prognostic stratification in hormone receptor-positive/human epidermal growth factor receptor 2-negative early breast cancer.

BACKGROUND AND AIMS: Hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) breast cancer (BC) accounts for the major...

Topology-decoupled end-to-end framework for brain tumor MRI detection: boundary-preserving feature flow and inter-channel correlation distillation.

Early and accurate detection of brain tumors is clinically valuable for improving prognosis and guiding treatment. Existing deep-learning methods for ...

Retinal vascular parameters as AI-driven biomarkers for pulse wave velocity assessment: a telemedicine strategy for cardiovascular risk assessment.

BACKGROUND: Pulse wave velocity (PWV), known as the gold standard for evaluating arterial stiffness, is limited by device dependence. This study aims ...

Deep learning in acute ischemic stroke imaging: a systematic review of CT- and MRI-based segmentation, triage, and prognostic modeling.

BACKGROUND: Acute ischemic stroke is a time-critical neurological emergency in which imaging directly influences diagnosis, treatment eligibility, tis...

A lightweight improved YOLOv11 framework for intracranial hemorrhage detection.

Timely and accurate detection of intracranial hemorrhage in CT images is essential for emergency intervention and for reducing disability and mortalit...

[Deep learning-driven high-frequency ultrasound method for skin aging assessment].

Ultraviolet radiation is a primary external factor contributing to skin photoaging, as it induces cellular deoxyribonucleic acid damage and collagen d...

[An auxiliary diagnosis system for cervical intraepithelial neoplasia based on colposcopic images].

Cervical intraepithelial neoplasia is the primary type of cervical precancerous lesion; however, manual clinical diagnosis is prone to bias and has li...

Integrating machine learning with histopathological, immunohistochemical, and PET parameters in the study of invasive breast carcinoma, no special type.

BACKGROUND: This study investigates the relationship between histopathological (HP) features, immunohistochemical (IHC) markers, 18F- FDG PET/CT param...

Evaluating Source-Based Large Language Models for Preclinical Dermatology Education: Comparative Study.

BACKGROUND: Large language models (LLMs) have gained increasing popularity in medical education, with evidence supporting their educational value when...

DGCD-3D: Difference-guided conditional diffusion model for low-field 3D MRI enhancement to assist stroke assessment.

Low-field (LF) magnetic resonance imaging (MRI) plays a crucial role in assisting clinicians with rapid stroke diagnosis. However, its inherent limita...

AI-driven discovery of GPNMB CAR T cells as a multi-cancer therapy.

Chimeric antigen receptor (CAR) T cells have demonstrated curative potential in hematologic cancers and increasing efficacy in solid tumors and non-ma...

Development of a prediction model for infant hospitalisation and death using clinical features assessed by community health workers during routine postnatal home visits in Dhaka, Bangladesh.

BACKGROUND: To improve upon the WHO 8 danger signs used to identify young infants (<2 months) requiring referral during community health worker (CHW) ...

IL4Rα blockade inhibits proliferation of malignant lymphocytes and the immunosuppressive tumor microenvironment of mycosis fungoides.

BACKGROUND: Limited therapeutic options are available for patients with advanced-stage mycosis fungoides (MF), and the 5-year survival rate is 25%. Du...

Skin microbiome signatures track uremic pruritus severity in hemodialysis patients.

Chronic kidney disease-associated pruritus (CKD-aP) is frequent in patients receiving maintenance hemodialysis and is often difficult to control. Whil...

Development and validation of an interpretable ultrasound radiomics model for benign and malignant classification of breast lesions: a multicenter large-sample study.

OBJECTIVES: To develop and validate a combined ultrasound-based radiomics-clinical model for differentiating benign and malignant breast lesions. MATE...

Few-shot skin lesion classification with Adaptive Multi-Scale Convolutional Attention Network.

Computer-aided diagnosis of skin lesions faces core challenges, including scale diversity, blurred boundaries, intra-class morphological variations, a...