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    GlossaryMachine Learning

    using data to train algorithms for pattern recognition and decision-making

    Machine Learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms to recognize patterns and make decisions based on data. Instead of being explicitly programmed to perform a task, ML systems learn and improve from experience, making them useful for applications like predicting hair loss patterns in alopecia patients or identifying biological markers in complex datasets.

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      community Should I dedicate my university studies to solving hair loss?

      in Research/Science  373 upvotes 2 years ago
      A 20 year old male who is balding and considering switching to a biology/chemistry program in order to find a low-cost, accessible solution for hair loss. Replies discuss the merits of this idea as well as potential treatments such as Minoxidil, finasteride, RU58841, TM5614, and ADQ.
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      community What ever happened to hairlosshelp.com ??!

      in Update  35 upvotes 2 years ago
      User began losing hair in 2006, used Avodart and got a hair transplant in 2012. They discuss the decline of hair loss forums and the shift to Reddit, which isn't ideal for long-form discussions.

      community 1 month Pyrilutamide. A non responders story to everything.

      in Research/Science  218 upvotes 2 years ago
      My hairline, I am only 23. This conversation is about a user's experience with treatments for androgenic alopecia, including finasteride, dutasteride, RU, minoxidil, progesterone, melatonin, LLLT, oral minoxidil, and Pyrilutamide. They have tried many treatments over the course of two years without seeing much success, and they are considering getting a hair system as a last resort.