Skip to main content

Unraveling Sex-Specific Alzheimer’s Factors with AI

This shows the outline of a head.A new study employs 'Evolutionary Action Machine Learning' (EAML) to explore sex-specific genes that contribute to Alzheimer's Disease (AD). Researchers discovered 98 genes associated with AD, some of which were found to affect disease progression differently in men and women.

from Neuroscience News https://ift.tt/YcFV47C
Labels:

Comments

Post a Comment

Popular posts from this blog

Reading Minds to Understand Human Tool Use

Combining brain imaging data with machine learning, researchers make new discoveries about how the brain controls the hand. The findings could lead to the development of more advanced neuroprosthetics. from Neuroscience News https://ift.tt/3tv7BbC
Post a Comment
Read more

Rethinking the Link Between Cannabinoids and Learning

Disrupted cannabinoid signaling impairs learning by altering behavioral states. from Neuroscience News https://ift.tt/2Hrmr0g
Post a Comment
Read more