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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
- Which diseases most commonly accompany vitiligo?
Vitiligo is an autoimmune disease and is frequently associated with other autoimmune diseases, acccording to a 10-year study. The exact diseases that accompany vitiligo can vary...
- 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...
- Shall I try low-fat diet for my vitiligo?
The link between dietary fat and autoimmune diseases like vitiligo is a compelling yet complex puzzle that continues to intrigue scientists. While the conversation is ongoing, o...
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.