This article describes a new study using AI to identify sex differences in the brain with over 90% accuracy.

Key findings:

  • An AI model successfully distinguished between male and female brains based on scans, suggesting inherent sex-based brain variations.
  • The model focused on specific brain networks like the default mode, striatum, and limbic networks, potentially linked to cognitive functions and behaviors.
  • These findings could lead to personalized medicine approaches by considering sex differences in developing treatments for brain disorders.

Additional points:

  • The study may help settle a long-standing debate about the existence of reliable sex differences in the brain.
  • Previous research failed to find consistent brain indicators of sex.
  • Researchers emphasize that the study doesn’t explain the cause of these differences.
  • The research team plans to make the AI model publicly available for further research on brain-behavior connections.

Overall, the study highlights the potential of AI in uncovering previously undetectable brain differences with potential implications for personalized medicine.

  • webghost0101@sopuli.xyz
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    8 months ago

    Just a guess but if they labeled training data either male or female then i believe its more likely that it detects biological sex…

    But if i they would also label and train on lgbt brains then i bet machine learning can differentiate between all of those.

    I bet you can do the same thing with neurodivergent people but you would need to make sure the training data is without error to make me trust it.