MD, MBA, FACHE, FAAD
Dr. Usman Lashari is a US board-certified Physician & Dermatologist, licensed to practice in New York (License No. MD 332964), and a globally recognized physician leader in dermatology, healthcare innovation, and academic excellence. Educated at Oxford & Stanford, Dr. Lashari brings over 15 years of international clinical and leadership experience across the USA, UK, and UAE, including prestigious faculty appointments at Brown University.
A Fellow of the American Academy of Dermatology (FAAD) and the American College of Healthcare Executives (FACHE), Dr. Lashari is celebrated for his contributions to advancing skincare science and healthcare management. His expertise spans clini- cal dermatology, cosmetic dermatology, healthcare leadership, and digital innovation in medicine.
Through Skin Sense, Dr. Lashari brings his unparalleled clinical knowledge and research-driven insights to empower individuals to achieve healthier, radiant skin-guided by science, shaped by experience, and tailored to individual needs.
The Skin Type Assessment from SkinSense was a game changer for me! It helped me discover my true skin type and recommended products that work perfectly. My skincare routine has never been this effective!
I’ve always struggled to figure out my skin type, but SkinSense’s survey made it so easy. The recommendations were spot-on, and I’ve already noticed a visible difference in my skin!
The Skin Type Assessment was quick, easy, and incredibly accurate. SkinSense gave me a customized approach to skincare that I never knew I needed. Highly recommend it!
Thanks to the SkinSense survey, I finally understand why my old skincare routine wasn’t working. The tailored solutions have been a game-changer for my sensitive skin!
SkinSense nailed it with their Skin Type Assessment! The personalized insights and product suggestions made all the difference in achieving clearer, healthier skin.
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AI Dermatologist uses a deep machine learning algorithm (AI-algorithm). The human ability to learn from examples and experiences has been transferred to a computer. For this purpose, the neural network has been trained using a dermoscopic imaging database containing tens of thousands of examples that combined diagnosis and assessment by dermatologists.
The AI is able to distinguish between benign and malignant tumors, similar to the ABCDE rule (5 main signs of oncology: asymmetry, boundary, color, diameter, and change over time). The difference between them is that the algorithm can analyze thousands of features, but not only 5 of them. Of course, only a machine can detect that amount of evidence.
Due to the productive cooperation with doctors, the quality of the algorithm performance is constantly being improved. Based on growing experience and its own autonomous rules, the AI is able to distinguish between benign and malignant tumors, find risks of human papillomavirus, and classify different types of acne...
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The recommendations from this skincare assessment tool are based on general research and common skin patterns. This skin analysis test is not a medical diagnosis and does not treat, cure, or prevent any skin condition. It should not replace professional advice from a qualified dermatologist or healthcare provider. Results from any skin care test can vary based on individual skin type, lifestyle, and external factors. The skincare routine provided is a general guide created from your answers and may not suit everyone in the same way. Your privacy is respected at all times. Any testimonials or shared experiences may be edited or anonymized to protect identity and ensure user confidentiality.
Transform your skincare routine with SkinSense, where science meets personalization. We've meticulously divided skin into 24 unique categories, and our precise online assesment tool identifies your specific skin type. With tailored recommendations, we deliver top-quality products that align perfectly with your skin’s needs, moving beyond the generic to provide truly customized care.
