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Plos One|December 12, 2024
Correction: Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1John-Jose Nunez, Teyden T Nguyen, Yihan Zhou, et al.
Psychological Medicine|May 16, 2022
Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysisMehri Sajjadian, Raymond W Lam, Roumen Milev, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|September 6, 2005
Suggestive association between the C825T polymorphism of the G-protein beta3 subunit gene (GNB3) and clinical improvement with antipsychotics in schizophreniaDaniel J Müller, Vincenzo De Luca, Tricia Sicard, et al.
Clinical Pharmacology and Therapeutics|February 3, 2018
Clinical Pharmacogenetics Implementation Consortium Guideline for HLA Genotype and Use of Carbamazepine and Oxcarbazepine: 2017 UpdateElizabeth J Phillips, Chonlaphat Sukasem, Michelle Whirl-Carrillo, et al.
Plos One|June 28, 2021
Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1John-Jose Nunez, Teyden T Nguyen, Yihan Zhou, et al.
Nature|May 17, 2023
Structural basis of NINJ1-mediated plasma membrane rupture in cell deathMorris Degen, José Carlos Santos, Kristyna Pluhackova, et al.
Drug Development Research|May 13, 2020
Schizophrenia-associated gene dysbindin-1 and tardive dyskinesiaMiriam S Maes, Justin Y Lu, Arun K Tiwari, et al.
Human Psychopharmacology|January 26, 2017
Association study between the neurexin-1 gene and tardive dyskinesiaRachel Lanning, Tristram A Lett, Arun K Tiwari, et al.
The Journal of Clinical Psychiatry|November 15, 2023
Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 ReportTejas Phaterpekar, John-Jose Nunez, Emma Morton, et al.
JAMA Network Open|September 28, 2023
Developing an Electroencephalography-Based Model for Predicting Response to Antidepressant MedicationBenjamin Schwartzmann, Prabhjot Dhami, Rudolf Uher, et al.
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