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A Narayan

Showing results (141-150 of 178) with videos related to

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Journal of Medical Internet Research|June 28, 2024
Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Frontiers in Physiology|April 24, 2023
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosisSpyridon Kontaxis, Estela Laporta, Esther Garcia, et al.
Nature Medicine|August 7, 2025
Strengthening Africa's brain health and economic resilienceMie Rizig, Connor McLaughlin, Vaibhav A Narayan, et al.
Journal of Affective Disorders|March 29, 2024
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelYuezhou Zhang, Amos A Folarin, Judith Dineley, et al.
Journal of Affective Disorders|August 20, 2023
Multilingual markers of depression in remotely collected speech samples: A preliminary analysisNicholas Cummins, Judith Dineley, Pauline Conde, et al.
JMIR Mental Health|March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling StudyYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Pattern Recognition|November 1, 2021
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoderShuo Liu, Jing Han, Estela Laporta Puyal, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|December 23, 2015
Identifying amyloid pathology-related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort studyYuk Yee Leung, Jon B Toledo, Alexey Nefedov, et al.
NPJ Digital Medicine|February 22, 2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression studyYuezhou Zhang, Abhishek Pratap, Amos A Folarin, et al.
JMIR Mhealth and Uhealth|October 4, 2022
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Pageof 18

Showing results (141-150 of 178) with videos related to

Sort By:
Pageof 18
Journal of Medical Internet Research|June 28, 2024
Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Frontiers in Physiology|April 24, 2023
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosisSpyridon Kontaxis, Estela Laporta, Esther Garcia, et al.
Nature Medicine|August 7, 2025
Strengthening Africa's brain health and economic resilienceMie Rizig, Connor McLaughlin, Vaibhav A Narayan, et al.
Journal of Affective Disorders|March 29, 2024
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelYuezhou Zhang, Amos A Folarin, Judith Dineley, et al.
Journal of Affective Disorders|August 20, 2023
Multilingual markers of depression in remotely collected speech samples: A preliminary analysisNicholas Cummins, Judith Dineley, Pauline Conde, et al.
JMIR Mental Health|March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling StudyYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Pattern Recognition|November 1, 2021
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoderShuo Liu, Jing Han, Estela Laporta Puyal, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|December 23, 2015
Identifying amyloid pathology-related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort studyYuk Yee Leung, Jon B Toledo, Alexey Nefedov, et al.
NPJ Digital Medicine|February 22, 2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression studyYuezhou Zhang, Abhishek Pratap, Amos A Folarin, et al.
JMIR Mhealth and Uhealth|October 4, 2022
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Pageof 18