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Rudolf Uher

Showing results (171-180 of 299) with videos related to

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Scientific Reports|October 31, 2023
Personalized relapse prediction in patients with major depressive disorder using digital biomarkersSrinivasan Vairavan, Homa Rashidisabet, Qingqin S Li, et al.
Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie|February 14, 2023
The Differential Relation of Emotional, Physical, and Sexual Abuse Histories to Antidepressant Treatment Remission and Persistence of Anhedonia in Major Depression: A CAN-BIND-1 ReportKate L Harkness, Trisha Chakrabarty, Sakina J Rizvi, et al.
Psychiatry Research|July 31, 2023
Response trajectories during escitalopram treatment of patients with major depressive disorderJohn-Jose Nunez, Yang S Liu, Bo Cao, et al.
Journal of Psychiatric Research|April 19, 2016
Combining clinical variables to optimize prediction of antidepressant treatment outcomesRaquel Iniesta, Karim Malki, Wolfgang Maier, et al.
World Psychiatry : Official Journal of the World Psychiatric Association (WPA)|September 10, 2021
Risk and protective factors for mental disorders beyond genetics: an evidence-based atlasCelso Arango, Elena Dragioti, Marco Solmi, et al.
The Journal of Clinical Psychiatry|July 19, 2019
Trajectories of Suicidal Ideation During 12 Weeks of Escitalopram or Nortriptyline Antidepressant Treatment Among 811 Patients With Major Depressive DisorderTrine Madsen, Henriette N Buttenschøn, Rudolf Uher, et al.
BMC Psychiatry|December 3, 2014
A familial risk enriched cohort as a platform for testing early interventions to prevent severe mental illnessRudolf Uher, Jill Cumby, Lynn E MacKenzie, 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.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|October 4, 2016
Highly polygenic architecture of antidepressant treatment response: Comparative analysis of SSRI and NRI treatment in an animal model of depressionKarim Malki, Maria Grazia Tosto, Héctor Mouriño-Talín, et al.
Psychological Medicine|December 29, 2025
Which aspects of anhedonia predict response to pharmacotherapy in major depressive disorder?Rudolf Uher, Sakina J Rizvi, Lena C Quilty, et al.
Pageof 30

Showing results (171-180 of 299) with videos related to

Sort By:
Pageof 30
Scientific Reports|October 31, 2023
Personalized relapse prediction in patients with major depressive disorder using digital biomarkersSrinivasan Vairavan, Homa Rashidisabet, Qingqin S Li, et al.
Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie|February 14, 2023
The Differential Relation of Emotional, Physical, and Sexual Abuse Histories to Antidepressant Treatment Remission and Persistence of Anhedonia in Major Depression: A CAN-BIND-1 ReportKate L Harkness, Trisha Chakrabarty, Sakina J Rizvi, et al.
Psychiatry Research|July 31, 2023
Response trajectories during escitalopram treatment of patients with major depressive disorderJohn-Jose Nunez, Yang S Liu, Bo Cao, et al.
Journal of Psychiatric Research|April 19, 2016
Combining clinical variables to optimize prediction of antidepressant treatment outcomesRaquel Iniesta, Karim Malki, Wolfgang Maier, et al.
World Psychiatry : Official Journal of the World Psychiatric Association (WPA)|September 10, 2021
Risk and protective factors for mental disorders beyond genetics: an evidence-based atlasCelso Arango, Elena Dragioti, Marco Solmi, et al.
The Journal of Clinical Psychiatry|July 19, 2019
Trajectories of Suicidal Ideation During 12 Weeks of Escitalopram or Nortriptyline Antidepressant Treatment Among 811 Patients With Major Depressive DisorderTrine Madsen, Henriette N Buttenschøn, Rudolf Uher, et al.
BMC Psychiatry|December 3, 2014
A familial risk enriched cohort as a platform for testing early interventions to prevent severe mental illnessRudolf Uher, Jill Cumby, Lynn E MacKenzie, 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.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|October 4, 2016
Highly polygenic architecture of antidepressant treatment response: Comparative analysis of SSRI and NRI treatment in an animal model of depressionKarim Malki, Maria Grazia Tosto, Héctor Mouriño-Talín, et al.
Psychological Medicine|December 29, 2025
Which aspects of anhedonia predict response to pharmacotherapy in major depressive disorder?Rudolf Uher, Sakina J Rizvi, Lena C Quilty, et al.
Pageof 30