Dermatology

Integrating multi-source data and machine learning to Decipher the psoriasis-COPD comorbidity.

Hybrid vision transformer and graph neural network model with region-adaptive attention for enhanced skin cancer prediction.

A well-known and potentially lethal skin cancer requires prompt detection and diagnosis. Complex spa...

Low resource federated learning for classification of nail disease by deploying cross-silo and heterogeneously dataset distributions.

Nail diseases, including such common conditions as fungus, and more serious issues like melanoma, ma...

DermaGPT a federated multimodal framework with a meta learned trust function for interpretable dermatology diagnostics.

Advances in generative and federated artificial intelligence enable privacy-aware diagnostic systems...

Multi-omics profiling of chronic immune-mediated skin diseases: SKINERGY protocol and strategic evaluation.

BACKGROUND: The Dutch flagship project Next Generation ImmunoDermatology (NGID) aims to profile five...

A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba.

Accurate delineation of skin lesions in images is important for skin cancer detection. Existing meth...

Network for Real-time Laryngeal Lesions Video Object Detection.

Early and accurate diagnosis of nasopharyngeal-laryngeal tumors is critical for improving patient pr...

TrkA abundance is increased in cutaneous nerves in bortezomib-induced neuropathy.

Tropomyosin receptor kinase A (TrkA), a high-affinity receptor for nerve growth factor (NGF), is imp...

Comprehensive segmentation of focal cortical dysplasia by combining surface-based and whole-brain MRI deep learning algorithms: a proof-of-concept study.

Introduction.Focal cortical dysplasia type II (FCD II) is a significant cause of drug-resistant epil...

Enhancing nail disease diagnosis: a capsule network with SE attention and dual backbone models.

Nail diseases, including fungal infections and malignancies, pose significant health risks and may l...

Identification of common genes and biomarkers between Dermatomyositis and rheumatoid arthritis through integrated bioinformatics.

BACKGROUND: Dermatomyositis (DM) and rheumatoid arthritis (RA) share immuno-inflammatory features, y...

Phenotyping of Patients with Age-Related Macular Degeneration Using Artificial Intelligence-Driven Biomarker Patterns in OCT.

PURPOSE: To leverage artificial intelligence-based OCT analysis to classify age-related macular dege...

Applications of the Non-invasive Skin Imaging Techniques and Image-based Artificial Intelligence in Rosacea: A Narrative Review.

BACKGROUND: Rosacea is a common chronic inflammatory dermatosis with complex pathophysiology and het...

Beyond the dose: a clearance-enabled in vitro platform for evaluating local therapies.

Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential ...

Noninvasive skin imaging of melanocytic and nonmelanocytic tumours: recent findings.

PURPOSE OF REVIEW: Early diagnosis of skin cancer is essential for patient care. Noninvasive skin im...

Instance-level quantitative saliency in multiple sclerosis lesion segmentation.

In recent years, explainable methods for artificial intelligence (XAI) have tried to reveal and desc...

SH3BP5L triggers the RAB11A-regulated integrin recycling network implicated in breast cancer metastasis.

Metastatic progression in aggressive breast cancer (BC) depends on a tightly controlled vesicular re...

Advancements in psoriasis classification using custom transfer learning algorithms.

Psoriasis is a skin disorder which mainly occurs as a rash, scaly areas and an itchy skin. The sympt...

Overcoming Resistance in EGFR-Mutant Cancers: A Comprehensive Review of Inhibitor Evolution and SAR-Based Design.

The epidermal growth factor receptor (EGFR) is a key target in cancer therapy, mainly in non-small c...

Image reconstruction and elongation artifact reduction for a dual-panel dedicated prostate PET scanner.

BACKGROUND: The development of PET scanners dedicated to high temporal and spatial resolution organ-...

Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer: A Scoping Review.

BACKGROUND: Artificial intelligence, particularly machine learning, has great potential to improve h...