Cosmetics and personal care products (PCPs) are a few of the most commonly used products across the globe with a whopping market share of approximately USD 500 billion. These products are used for cleansing purposes and for improving the quality and...
With the growing complexity of skin disorders and the challenges of traditional diagnostic methods, AI offers exciting new solutions that can enhance the accuracy and efficiency of dermatological assessments. Reflectance Confocal Microscopy (RCM) sta...
Rosacea is a common chronic inflammatory skin condition. It mainly affects the cheeks, nose, chin, and forehead, causing flushing or transient erythema, persistent erythema, phymatous changes, papules, pustules, and telangiectasias, and the eyes may...
In fair-skinned populations worldwide, skin cancer is a serious public health threat. A significant percentage of all reported occupational diseases fall back on skin cancer. Over the past few decades, there has been a rise in the frequency of skin c...
This review provides an overview of the structural and functional features of key phytosphingosine-based ceramides (CERs), notably CER[EOP], CER[NP], and CER[AP], and their role in atopic skin health. Herein, we discuss how these indispensable stratu...
Background: Artificial intelligence (AI) has emerged as a transformative tool in modern medicine, particularly in dermatology, where it supports the diagnosis and management of various skin diseases, including skin cancer. Through machine learning an...
Background/Objectives: Skin lesions, ranging from benign to malignant diseases, are a difficult dermatological condition due to their great diversity and variable severity. Their detection at an early stage and proper classification, particularly bet...
Cutaneous squamous cell carcinoma (cSCC) arises from the abnormal proliferation of keratinocytes of the epidermis, most commonly due to UV-light-induced DNA damage. Although histopathological assessment is the gold standard for diagnosing cSCC, nasce...
Artificial intelligence (AI) based on convolutional neural networks (CNNs) has recently made great advances in dermatology with respect to the classification and malignancy prediction of skin diseases. In this article, we demonstrate how we have used...
This current retrospective study, including 98 patients aged 21 to 71 years, aims to assess the safety and the efficiency of a picosecond 755 nm/532 nm laser in the removal of complex eyebrows tattoos. Patients were treated with a picosecond laser at...
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