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Russell Greiner

Showing results (91-100 of 122) with videos related to

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Schizophrenia Research|June 28, 2017
Convergence and divergence of neurocognitive patterns in schizophrenia and depressionSugai Liang, Matthew R G Brown, Wei Deng, et al.
Plos One|July 30, 2015
Correction: Accurate, Fully-Automated NMR Spectral Profiling for MetabolomicsSiamak Ravanbakhsh, Philip Liu, Trent C Bjorndahl, et al.
NPJ Digital Medicine|February 6, 2023
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiogramsWeijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, et al.
Gerontology|September 19, 2023
Associations between Differential Aging and Lifestyle, Environment, Current, and Future Health Conditions: Findings from Canadian Longitudinal Study on AgingYipeng Song, Yang S Liu, Fernanda Talarico, et al.
Frontiers in Psychiatry|August 22, 2022
Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning studyAnimesh Kumar Paul, Anushree Bose, Sunil Vasu Kalmady, et al.
Science Advances|December 5, 2025
Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiologyEric J Carpenter, Chuanhao Peng, Simatsidk Haregu, et al.
Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie|July 27, 2022
Individualized Prospective Prediction of Opioid Use DisorderYang S Liu, Lawrence Kiyang, Jake Hayward, et al.
Plos One|May 29, 2015
Accurate, fully-automated NMR spectral profiling for metabolomicsSiamak Ravanbakhsh, Philip Liu, Trent C Bjorndahl, et al.
JMIR Mhealth and Uhealth|March 22, 2021
Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey StudyReham Shalaby, Wesley Vuong, Marianne Hrabok, et al.
Molecular Psychiatry|April 14, 2025
Population-level individualized prospective prediction of opioid overdose using machine learningYang S Liu, Derek V Pierce, Dan Metes, et al.
Pageof 13

Showing results (91-100 of 122) with videos related to

Sort By:
Pageof 13
Schizophrenia Research|June 28, 2017
Convergence and divergence of neurocognitive patterns in schizophrenia and depressionSugai Liang, Matthew R G Brown, Wei Deng, et al.
Plos One|July 30, 2015
Correction: Accurate, Fully-Automated NMR Spectral Profiling for MetabolomicsSiamak Ravanbakhsh, Philip Liu, Trent C Bjorndahl, et al.
NPJ Digital Medicine|February 6, 2023
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiogramsWeijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, et al.
Gerontology|September 19, 2023
Associations between Differential Aging and Lifestyle, Environment, Current, and Future Health Conditions: Findings from Canadian Longitudinal Study on AgingYipeng Song, Yang S Liu, Fernanda Talarico, et al.
Frontiers in Psychiatry|August 22, 2022
Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning studyAnimesh Kumar Paul, Anushree Bose, Sunil Vasu Kalmady, et al.
Science Advances|December 5, 2025
Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiologyEric J Carpenter, Chuanhao Peng, Simatsidk Haregu, et al.
Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie|July 27, 2022
Individualized Prospective Prediction of Opioid Use DisorderYang S Liu, Lawrence Kiyang, Jake Hayward, et al.
Plos One|May 29, 2015
Accurate, fully-automated NMR spectral profiling for metabolomicsSiamak Ravanbakhsh, Philip Liu, Trent C Bjorndahl, et al.
JMIR Mhealth and Uhealth|March 22, 2021
Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey StudyReham Shalaby, Wesley Vuong, Marianne Hrabok, et al.
Molecular Psychiatry|April 14, 2025
Population-level individualized prospective prediction of opioid overdose using machine learningYang S Liu, Derek V Pierce, Dan Metes, et al.
Pageof 13