AI in Dermatology & Cosmetology plays a pivotal role in revolutionizing how skin conditions are diagnosed, monitored, and treated. Deep learning tools are now capable of differentiating between benign and malignant lesions with accuracy rivaling dermatologists, while real-time skin analysis supports faster intervention. In cosmetology, AI enhances treatment personalization by evaluating skin type, tone, and texture to recommend tailored regimens and procedures. With AI’s ability to process thousands of dermatoscopic images and patient histories, it significantly reduces diagnostic errors and streamlines clinical workflows. AI in Dermatology & Cosmetology also supports the development of advanced cosmetic products by predicting individual skin responses to ingredients, thus improving safety and efficacy. As these technologies continue to evolve, they are reshaping both clinical and cosmetic landscapes, leading to more accessible and precise care.
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Title : Personalized and precision dermatology through the view of biodesign-inspired translational & data-driven applications: Revolutionary skin treatments for every concern in clinical dermatology integrating skin care experts and consumers
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Modern non-invasive methods for in vivo assessment of skin
Georgios N Stamatas, SGS, France
Title : Paraneoplastic autoimmune multiorgan syndrome or PAMS: Paraneoplastic pemphigus revisited
Sergei A Grando, University of California Irvine, United States
Title : The next generation of threads: Lifting, volumization, and biostimulation in one powerful triple action.
George Sulamanidze, Plastic Surgeon at Clinic of Plastic and Aesthetic Surgery and Cosmetology TOTALCharm, Georgia
Title : Personalized and precision medicine as a unique avenue to have the healthcare model renewed to secure the national biosafety: Advanced skincare solutions in individualized cosmetology, reconstructive plastic surgery and the modern beauty
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Integrating personalized and precision medicine into dermatology clinical practice securing its potential to get skin diseases cured and to revolutionize dermatooncology
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Antifungal resistance in dermatophytes: A growing concern
Jannatul Sharmin Joarder, Dhaka Medical College Hospital, Bangladesh
Title : An analysis of alopecia areata incognita following mRNA COVID-19 vaccination in perimenopausal women
Lynn Priscilla Fadel, California Health Sciences University, United States
Title : 1D Fractal signatures computer-aided diagnosis methodologies for skin lesion classification
Selene Solorza Calderon, Universidad Autonoma de Baja California, Mexico
Title : Café au lait spot is a marker for pheochromocytoma in hypertensive crisis with a wide-differential diagnosis: A case report
Yasser Mohammed Hassanain Elsayed, Egyptian Ministry of Health, Egypt