A new AI deep-learning model can distinguish between women and men from brain scans of neural activity with over 90% accuracy.
What impact does being a female or male have in brain development, aging, neurodegenerative disorders, and neuropsychiatric diseases? Researchers at Stanford Medicine published a new deep learning model that can distinguish between the brains of women and men from image scans of brain activity with over 90% accuracy.
Globally, men are at greater risk of developing Parkinson’s disease, and it is not known exactly why, according to the Parkinson’s Foundation. Similarly, more American women than men have Alzheimer’s, and scientists have yet to prove why. Two-thirds of the more than 6.7 million Americans living with Alzheimer’s disease are women, according to the Woman’s Alzheimer’s Movement.), according to the U.S. Centers for Disease Control and Prevention .
“We developed an innovative stDNN model to extract informative brain dynamics features that accurately distinguish between males and females,” the researchers wrote. “The convolutional architecture of our stDNN model is also particularly well suited to brain imaging applications, which have a limited number of labelled training data of varying length,” noted the scientists.
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