Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression.
J Affect Disord April 1, 2018 DOI: 10.1016/j.jad.2018.01.006
Summary
Remarkably, subtle patterns in a patient's natural speech can reveal their potential to benefit from psilocybin for severe depression. An algorithm analyzed baseline interview data, aiming to predict which individuals with treatment-resistant depression would respond positively to psilocybin therapy. Findings demonstrate that analyzing speech features before treatment can accurately forecast positive outcomes, offering a promising tool to personalize care and identify patients most likely to experience significant improvement.
Abstract
Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression.