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UC Irvine Leads Breakthrough in Personalized Depression Care

UC Irvine Leads Breakthrough in Personalized Depression Care
AI Summary

A study led by UC Irvine researchers found that using biological and behavioral markers to select antidepressants can increase treatment success rates by 67 percent. This approach aims to replace the current 'trial and error' method of prescribing psychiatric medication.

Why it matters

This breakthrough could significantly improve mental health outcomes by reducing the time and suffering patients endure while searching for effective depression treatments.

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Irvine, Calif., July 6, 2026 - For decades, treating depression has largely involved a difficult form of medical guesswork: prescribing one antidepressant after another in hopes that one will eventually help.

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The article is a straightforward summary of a scientific study published in a peer-reviewed journal.

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