This issue reveals improvements in skin cancer diagnostics using artificial intelligence and highlights new biomarkers, suggesting enhanced prognostic accuracy.
The October issue of the Journal highlights key advances in oncodermatology. Artificial intelligence-enhanced dermoscopy and reflectance confocal microscopy are improving skin cancer diagnostics. New e-learning methods are making optical coherence tomography images easier to interpret. In melanoma, the neutrophil-to-lymphocyte ratio is gaining attention as an accessible biomarker. Integrated models that combine clinical, molecular, and immune data may improve prognostic accuracy. Dupilumab also shows promise as a steroid-sparing therapy for difficult cutaneous immune-related adverse events, allowing safer continuation of immunotherapy.
No takes yet. Share an insight, caveat, or question.
Lajos Kemény (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: