A study showed that natural speech analytics can tell if someone is depressed and if psilocybin was successful in treating their depression.
Argentinian researchers report that speech analytics combined with machine learning differentiated between depressed patients taking psilocybin and healthy control patients. Further, the algorithm was able to identify which patients responded to the treatment and which did not with 85% accuracy and 75% precision. This predictive method can be used as a cost-effective method for screening people for treatment suitability and sensitivity.
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