March 2026 in “Aging Research” This review provides a comprehensive synthesis of skin aging research, highlighting the interplay of genetic and environmental factors, cellular mechanisms, and advances in diagnostic and therapeutic strategies, while also addressing current debates and future directions in the anti-aging field.
This study identified ten key magistral dermatological formulations, such as personalized trichological preparations and Kligman’s formula, which fill critical gaps unmet by standardized products, particularly in cases like pediatric scabies or autoimmune mucosal diseases, illustrating the role of compounding in precision medicine.
5 citations
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March 2022 in “Clinical Cosmetic and Investigational Dermatology” This study proposed a model that accurately predicts skin condition using genotype information and machine learning, suggesting potential for creating customized cosmetics.
Custom skincare can be made based on genes, fewer cats in Lublin have FeLV/FIV than national average, and studies also looked at small water bodies, river pollution, guppy growth, toxins in biochars, palm oil issues, and pumpkin seed oil for hair strength.
4 citations
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May 2024 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.