Skin Cancer: Advances in Early Diagnosis and Treatment

Dear Colleagues,

Skin cancer represents a global health challenge, with incidence rates steadily rising. While an early diagnosis remains critical, successful treatment following diagnosis is equally essential to improving patient outcomes and survival rates. Despite advances in therapies, the prognosis of skin cancer relies on early detection, effective treatment, and tailored approaches. Many cases are still diagnosed at advanced stages due to limited access to specialists, variability in clinical assessments, and the low awareness of the public.

This Special Issue addresses the urgent need for research and innovation to enhance the early diagnosis and treatment of skin cancer. From a multidisciplinary perspective, we aim to advance the understanding of diagnostic techniques, refine criteria, and explore novel approaches to reducing diagnostic delays and improving therapeutic options. Contributions examining new biomarkers, screening models, and targeted treatments for improved clinical outcomes are highly encouraged.

A promising line of research focuses on integrating new technologies, particularly artificial intelligence (AI) and machine learning, into skin cancer diagnostics and treatment planning. Recent advances demonstrate that AI may support diagnosis and treatment decisions. Other key areas of interest include the development of bedside diagnostic devices, predictive models of cancer progression, and public health initiatives to raise awareness and encourage self-examinations. With this Special Issue, we aim to present cutting-edge research that not only deepens our understanding of skin cancer but also fosters practical applications for improved early diagnosis, effective treatment, and better patient outcomes.

We invite researchers to submit findings, reviews, and innovative perspectives that contribute to a comprehensive resource for advancing both diagnosis and treatment in skin cancer care.

Dr. Jose Juan Pereyra Rodriguez
Prof. Dr. Azahara Rodríguez-Luna
Guest Editors

Dr. Juan Carlos Hernández-Rodríguez
Guest Editor Assistant

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