Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication

Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication

Abstract Combination antidepressant pharmacotherapies are frequently used to treat major depressive disorder (MDD). However, there is no evidence that machine learning approaches combining multi-omics measures (e.g., genomics and plasma metabolomics) can achieve clinically meaningful predictions of...

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Bibliographic Details
Main Authors: Jeremiah B. Joyce, Caroline W. Grant, Duan Liu, Siamak MahmoudianDehkordi, Rima Kaddurah-Daouk, Michelle Skime, Joanna Biernacka, Mark A. Frye, Taryn Mayes, Thomas Carmody, Paul E. Croarkin, Liewei Wang, Richard Weinshilboum, William V. Bobo, Madhukar H. Trivedi, Arjun P. Athreya
Format: Article
Language:English
Published: Nature Publishing Group 2021-10-01
Series:Translational Psychiatry
Online Access:https://doi.org/10.1038/s41398-021-01632-z

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https://doi.org/10.1038/s41398-021-01632-z

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