Yale researchers use neural networks to predict underage drinking risk in teens
Neural networks uncovered through a longitudinal study could help predict underage drinking risk in teenagers.
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Neural networks uncovered through a longitudinal study could help predict underage drinking risk in teenagers.
Current and future drinking behaviour among people can be predicted through mapping their brains in teenage, suggests a study.Teenage brains form new connections during adolescence. Two systems that are rewired during this time are networks ...
New York, Sep 22 (IANS) Current and future drinking behaviour among people can be predicted through mapping their brains in teenage, suggests a study.
Researchers sorted through a massive MRI dataset of teenage brains to see if they could predict drinking behavior in adolescents by looking at how two systems
A new study by researchers at Yale School of Medicine has found that people from racial and ethnic minoritized backgrounds have been disproportionately affected