 The study aimed to determine the accuracy of machine learning-based facial and vocal measurements acquired through remote assessments conducted on smartphones in relation to schizophrenia symptom severity, finding that vocal markers specifically indicate negative symptom severity while facial expressivity is a robust marker of overall symptom severity. This article was authored by Ansara Boss, Brian J. Hansen, Vidyako Asmaharjo, and others.