Daniel J. Müller, MD, PhD
Department of Psychiatry, University of Toronto, Toronto, Canada; Centre for Addiction and Mental Health, Toronto, Canada
Original Research
Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
November 15, 2023
Quality of life is an important patient-centric outcome. Using machine learning methods, this study found that quality of life improvement with antidepressant treatment can be predicted using early depression...
Original Research
Worsening of Suicidal Ideation During AD Treatment
May 7, 2019
Antidepressants are effective in preventing suicide, but some antidepressant-treated patients experience increased suicidal ideation. Read this article to learn if clinical features and biomarkers can predict worsened suicidal ideation...
Original Research
CAN-BIND-1 Outcomes and Early Response Prediction in MDD
February 5, 2019
Antidepressant medications are often prescribed with little certainty about their potential effectiveness in individual patients. Can early symptom reduction help predict later symptomatic and functional outcomes of antidepressant treatment?...
