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Vaibhav A Narayan

Showing results (1-10 of 68) with videos related to

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Nature Reviews. Drug Discovery|November 28, 2015
Moving from 'diagnose and treat' to 'predict and pre-empt' in neuropsychiatric disordersVaibhav A Narayan, Husseini K Manji
BMC Pharmacology & Toxicology|October 22, 2016
Side effect profile similarities shared between antidepressants and immune-modulators reveal potential novel targets for treating major depressive disordersYu Sun, Vaibhav A Narayan, Gayle M Wittenberg
NPJ Schizophrenia|June 22, 2018
Trajectories and changes in individual items of positive and negative syndrome scale among schizophrenia patients prior to impending relapseDai Wang, Srihari Gopal, Susan Baker, et al.
Neuroimage|April 16, 2013
Modeling disease progression via multi-task learningJiayu Zhou, Jun Liu, Vaibhav A Narayan, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|October 14, 2014
Modeling Disease Progression via Fused Sparse Group LassoJiayu Zhou, Jun Liu, Vaibhav A Narayan, et al.
NPJ Digital Medicine|July 16, 2019
Mobile and pervasive computing technologies and the future of Alzheimer's clinical trialsP Murali Doraiswamy, Vaibhav A Narayan, Husseini K Manji
Scientific Reports|September 30, 2025
Prediction of treatment-resistant depression using the 23andMe survey dataSrinivasan Vairavan, Chao Tian, David Hinds, et al.
JMIR Mental Health|August 12, 2021
Clinical Utility of Wearable Sensors and Patient-Reported Surveys in Patients With Schizophrenia: Noninterventional, Observational StudyAdrienne C Lahti, Dai Wang, Huiling Pei, et al.
Nature Reviews. Drug Discovery|August 2, 2014
Harnessing the informatics revolution for neuroscience drug R&DHusseini K Manji, Thomas R Insel, Thomas W Insel, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|September 10, 2013
Multi-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging DataLei Yuan, Yalin Wang, Paul M Thompson, et al.
Pageof 7

Showing results (1-10 of 68) with videos related to

Sort By:
Pageof 7
Nature Reviews. Drug Discovery|November 28, 2015
Moving from 'diagnose and treat' to 'predict and pre-empt' in neuropsychiatric disordersVaibhav A Narayan, Husseini K Manji
BMC Pharmacology & Toxicology|October 22, 2016
Side effect profile similarities shared between antidepressants and immune-modulators reveal potential novel targets for treating major depressive disordersYu Sun, Vaibhav A Narayan, Gayle M Wittenberg
NPJ Schizophrenia|June 22, 2018
Trajectories and changes in individual items of positive and negative syndrome scale among schizophrenia patients prior to impending relapseDai Wang, Srihari Gopal, Susan Baker, et al.
Neuroimage|April 16, 2013
Modeling disease progression via multi-task learningJiayu Zhou, Jun Liu, Vaibhav A Narayan, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|October 14, 2014
Modeling Disease Progression via Fused Sparse Group LassoJiayu Zhou, Jun Liu, Vaibhav A Narayan, et al.
NPJ Digital Medicine|July 16, 2019
Mobile and pervasive computing technologies and the future of Alzheimer's clinical trialsP Murali Doraiswamy, Vaibhav A Narayan, Husseini K Manji
Scientific Reports|September 30, 2025
Prediction of treatment-resistant depression using the 23andMe survey dataSrinivasan Vairavan, Chao Tian, David Hinds, et al.
JMIR Mental Health|August 12, 2021
Clinical Utility of Wearable Sensors and Patient-Reported Surveys in Patients With Schizophrenia: Noninterventional, Observational StudyAdrienne C Lahti, Dai Wang, Huiling Pei, et al.
Nature Reviews. Drug Discovery|August 2, 2014
Harnessing the informatics revolution for neuroscience drug R&DHusseini K Manji, Thomas R Insel, Thomas W Insel, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|September 10, 2013
Multi-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging DataLei Yuan, Yalin Wang, Paul M Thompson, et al.
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