Researchers used artificial intelligence and genetic data from more than 43,000 people to identify biological patterns that could reshape how one of the world’s most common neurological disorders is diagnosed and treated.

Researchers used artificial intelligence and genetic data from more than 43,000 people to identify biological patterns that could reshape how one of the world’s most common neurological disorders is diagnosed and treated.

    • echo@lemmy.todayEnglish
      6·
      3 days ago

      The researchers found that machine-learning-based genetic risk scores distinguished the groups better than conventional polygenic risk scores.

      • i_am_not_a_robot@discuss.tchncs.deEnglish
        2·
        3 days ago

        Machine learning used to be AI but now “AI” is overrun with fraud. If you say “AI” people call it slop. If you don’t say “AI” you don’t get funding.