6 distinct biological depression types identified through brain imaging and machine learning, offering potential for personalized treatment strategies.
Scientists from Stanford Medicine have identified six distinct biological types of depression through brain imaging and machine learning. These subtypes, termed 'biotypes', exhibit unique brain activity patterns that can predict how patients will respond to specific antidepressants or behavioral therapies. This discovery may lead to personalized and more effective treatment strategies for depression.
June 17, 2024
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