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Podcast
AI is changing the game in vitiligo care — from spotting early signs to predicting disease progression.
In this episode, we dive into breakthrough research using machine learning to distinguish between segmental and nonsegmental vitiligo, forecast disease activity, and improve diagnosis using blood tests, imaging, and clinical data.
We cover:
- Why traditional diagnostic tools fall short
- How deep learning models analyze skin images for subtle signs
- The future of AI-powered precision dermatology
Can AI predict vitiligo before it appears? It’s closer than you think.

FAQOther Questions
- How Vitiligo Changes with Age?
Vitiligo, a condition characterized by the loss of skin pigmentation, can affect individuals at any stage of life. While it often appears before the age of 20, its progression a...
- Is vitiligo contagious?
Vitiligo is not contagious. This means it cannot be spread from person to person through physical contact, sharing personal items, or any other means of transmission. Vitiligo ...
- Can chemicals cause vitiligo?
Certain chemicals can trigger vitiligo, leading to a condition known as chemical-induced vitiligo. While clinically and histologically indistinguishable from other types of viti...
Though it is not always easy to treat vitiligo, there is much to be gained by clearly understanding the diagnosis, the future implications, treatment options and their outcomes.
Many people deal with vitiligo while remaining in the public eye, maintaining a positive outlook, and having a successful career.
Copyright (C) Bodolóczki JúliaBy taking a little time to fill in the anonymous questionnaire, you can help researchers better understand and fight vitiligo.