AI Illness Detection

About Us

We are a pioneering healthcare technology project dedicated to revolutionizing illness detection through artificial intelligence. Our mission is to enhance healthcare accessibility and efficiency by providing swift, accurate assessments through advanced image analysis.

By harnessing cutting-edge AI technology, we empower users with preliminary health insights, facilitating informed decisions about seeking medical care. Our commitment lies in improving global health outcomes through the innovative application of AI in healthcare diagnostics.

Our Founders

Moxirboy Muzaffarov

Backend engineer

SDE @ Trackstreet, SWE @ Tahrirchi

Mirvohid Azimov

Backend and ML engineer

AI researcher @ AI FutureHub, SWE @ Nomad T&L

Abror Musulmonov

Data scientist

Project Manager @ iQtidorly

Maruf Zakirov

Frontend engineer

Frontend engineer @ Yandex

Uyg'un Tursunov

Mobile developer

iOS developer @ SOFTINTERMOB

Our Partners

Adilov Mirjamol

Medical Advisor

Adilov Mirjamol, a doctor of medical sciences, is a leading expert in dermatology with over 40 years of experience. He served as the Director of the Republic Medical College for 20 years. His unmatched expertise not only guides Dermato but also played a vital role in helping us develop the AI behind our platform.

Malika Karimova

Medical Advisor

Malika Karimova, a doctor of medical sciences, is a dermatologist and clinical researcher specializing in autoimmune skin diseases, oral health, and host-microbiome interactions. She has extensive experience in clinical and laboratory research as well as public health science, bringing valuable expertise to Dermato.

Oybek Eraliev

AI Advisor

Oybek Eraliev, a Ph.D. in machine learning and professor at Inha University, is an expert in artificial intelligence with extensive experience in research and development. He has led and contributed to numerous AI projects, including autonomous systems, machine fault diagnosis, and AI-driven rock analysis. His work includes publications in top international journals and a patent awarded by the Korean government.