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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
- Is there a special diet for vitiligo?
Recent research highlights the potential of diet and nutrition in managing vitiligo, offering an alternative where traditional therapies may be lacking. However, the relationshi...
- 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...
- Pyrostegia venusta as a folk medicine for vitiligo?
Pyrostegia venusta, also known as “flame vine” or “cipó-de-são-joão,” is a neotropical evergreen vine native to Brazil. It thrives in fields, coastal areas, forest edges, and ro...
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.