Andrew Jin Soo Byun

Real-Time Smartphone Monitoring Assessments as a Cognitive Biomarker of Alzheimer Disease: Protocol for a Development Study

Meaghan McKenna, John Torous, Eden Rozenblit, Matthew Flathers et autres

Background: The diagnosis and monitoring of Alzheimer disease (AD) currently rely on clinician-administered, in-person, and cross-sectional pen-and-paper cognitive assessments. While clinically validated, these measures are time-intensive, infrequently administered, and limited in their ability to detect early, subtle, or short-term cognitive changes. Thus, …

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Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program

Louise Birkedal Glenthøj, Ann Ee Ching, Rachel Upthegrove, Luis Alameda et autres

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Sleep Estimation from Low Frequency Smartphone Sensors via Bayesian Hidden Markov Model

Andrew Jin Soo Byun, Yufan Li, Shan Cong, Alex Dhima et autres

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Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program

Johanna T. W. Wigman, Ann Ee Ching, Yoonho Chung, Habiballah Rahimi-Eichi et autres

Although meta-analytic studies have shown that 25-33% of those at Clinical High Risk (CHR) for psychosis transition to a first episode of psychosis within three years, less is known about estimating the risk of transition at an individual level. Digital phenotyping offers …

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Towards clinical subtypes in schizophrenia: integrating cognitive, functional, and digital phenotyping assessments

Andrew Jin Soo Byun, Erlend Lane, Carsten Langholm, Matthew Flathers et autres

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Integrating Clinical and Digital Measures in the AMP SCZ Project

Andrew Jin Soo Byun, Yoonho Chung, John Torous, Justin N. Baker

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Central Executive Network drives delta-9-tetrahydrocannabinol (THC)-induced nonlinear changes in large-scale functional connectivity in adolescent nonhuman primates

Andrew Jin Soo Byun, Harshawardhan U. Deshpande, Brian D. Kangas, Stephen J. Kohut

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Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis

Honey Kim, Kerstin Langbein, Andrew Thompson, Louise Birkedal Glenthøj et autres

This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis …

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Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial

James A. Burns, Kelly Chen, Matthew Flathers, Danielle Currey et autres

As digital phenotyping, the capture of active and passive data from consumer devices such as smartphones, becomes more common, the need to properly process the data and derive replicable features from it has become paramount. Cortex is an open-source data processing pipeline …

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Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample

Asher Cohen, John A. Naslund, Erlend Lane, Anant Bhan et autres

INTRODUCTION: Clinical assessment of mood and anxiety change often relies on clinical assessment or self-reported scales. Using smartphone digital phenotyping data and resulting markers of behavior (e.g., sleep) to augment clinical symptom scores offers a scalable and potentially more valid method to …

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Towards Clinical Subtypes in Schizophrenia: Integrating Cognitive, Functional, and Digital Phenotyping Assessments

Andrew Jin Soo Byun, Erlend Lane, Carsten Langholm, Matthew Flathers et autres

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Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial (Preprint)

James A. Burns, Kelly Chen, Matthew Flathers, Danielle Currey et autres

UNSTRUCTURED As digital phenotyping, the capture of active and passive data from consumer devices such as smartphones, becomes more common, the need to properly process the data and derive replicable features from it has become paramount. Cortex is an open-source data processing …