Stanford researchers lead AI breakthrough in treatment for depression
Briefly

Functional MRI studies and AI identified six depression subtypes. Tailored treatment based on subtype showed varying effectiveness, aiming for personalized therapy.
Different subtypes reacted differently: overactive cognitive areas benefited from Venlafaxine, high activity areas from therapy, and low attention control did not benefit much.
Ambition for personalized treatments in depression to move away from the one-size-fits-all approach, seeking more effective outcomes with the 'right first time' approach.
Read at ReadWrite
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