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Daniel Felsky

Showing results (11-20 of 108) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer's diseaseYuan Tian, Daniel Felsky, Jessica Gronsbell, et al.
Psychiatry Research|November 16, 2023
Interactions between genetic risk for 21 neurodevelopmental and psychiatric disorders and sport activity on youth mental healthMelissa C Misztal, Earvin S Tio, Akshay Mohan, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|July 4, 2026
Predictors of vaping relapse among young e-cigarette users: Machine learning-based survival analysis of a smartphone app-derived longitudinal dataAnasua Kundu, Peter Selby, Daniel Felsky, et al.
Frontiers in Molecular Neuroscience|December 3, 2024
Reported race-associated differences in control and schizophrenia post-mortem brain transcriptomes implicate stress-related and neuroimmune pathwaysShay Simmons, Keon Arbabi, Daniel Felsky, et al.
Addictive Behaviors|January 18, 2026
Predictors of past 30-day vaping abstinence among young e-cigarette users: Machine learning analysis of a longitudinal cohortAnasua Kundu, Peter Selby, Daniel Felsky, et al.
Plos One|March 11, 2024
An overview of systematic reviews on predictors of smoking cessation among young peopleAnasua Kundu, Nahid Sultana, Daniel Felsky, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|July 20, 2024
A Systematic Review of Predictors of Vaping Cessation Among Young PeopleAnasua Kundu, Siddharth Seth, Daniel Felsky, et al.
Medrxiv : the Preprint Server for Health Sciences|March 30, 2023
Testing a polygenic risk score for morphological microglial activation in Alzheimer's disease and agingEarvin S Tio, Timothy J Hohman, Milos Milic, et al.
International Journal of Environmental Research and Public Health|May 4, 2026
Developing a Machine Learning Model for Personalized, Predictor-Centric, Adaptive Intervention for Vaping Cessation in Young People: Secondary Data Analysis of Smartphone App DataAnasua Kundu, Peter Selby, Daniel Felsky, et al.
Journal of Alzheimer'S Disease : JAD|July 17, 2023
Testing a Polygenic Risk Score for Morphological Microglial Activation in Alzheimer's Disease and AgingEarvin S Tio, Timothy J Hohman, Milos Milic, et al.
Pageof 11

Showing results (11-20 of 108) with videos related to

Sort By:
Pageof 11
Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer's diseaseYuan Tian, Daniel Felsky, Jessica Gronsbell, et al.
Psychiatry Research|November 16, 2023
Interactions between genetic risk for 21 neurodevelopmental and psychiatric disorders and sport activity on youth mental healthMelissa C Misztal, Earvin S Tio, Akshay Mohan, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|July 4, 2026
Predictors of vaping relapse among young e-cigarette users: Machine learning-based survival analysis of a smartphone app-derived longitudinal dataAnasua Kundu, Peter Selby, Daniel Felsky, et al.
Frontiers in Molecular Neuroscience|December 3, 2024
Reported race-associated differences in control and schizophrenia post-mortem brain transcriptomes implicate stress-related and neuroimmune pathwaysShay Simmons, Keon Arbabi, Daniel Felsky, et al.
Addictive Behaviors|January 18, 2026
Predictors of past 30-day vaping abstinence among young e-cigarette users: Machine learning analysis of a longitudinal cohortAnasua Kundu, Peter Selby, Daniel Felsky, et al.
Plos One|March 11, 2024
An overview of systematic reviews on predictors of smoking cessation among young peopleAnasua Kundu, Nahid Sultana, Daniel Felsky, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|July 20, 2024
A Systematic Review of Predictors of Vaping Cessation Among Young PeopleAnasua Kundu, Siddharth Seth, Daniel Felsky, et al.
Medrxiv : the Preprint Server for Health Sciences|March 30, 2023
Testing a polygenic risk score for morphological microglial activation in Alzheimer's disease and agingEarvin S Tio, Timothy J Hohman, Milos Milic, et al.
International Journal of Environmental Research and Public Health|May 4, 2026
Developing a Machine Learning Model for Personalized, Predictor-Centric, Adaptive Intervention for Vaping Cessation in Young People: Secondary Data Analysis of Smartphone App DataAnasua Kundu, Peter Selby, Daniel Felsky, et al.
Journal of Alzheimer'S Disease : JAD|July 17, 2023
Testing a Polygenic Risk Score for Morphological Microglial Activation in Alzheimer's Disease and AgingEarvin S Tio, Timothy J Hohman, Milos Milic, et al.
Pageof 11