Katharina Schultebraucks

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Associate Professor

NYU School of Medicine

United States

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Longitudinal trajectory identification of Post-Traumatic Stress Disorder using Machine Learning for high-dimensional cognitive, emotional and biological data

Open Date: 2017-11-01

Close Date: 2019-10-01

Articles (11)

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2020

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2020

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2020

Collaborators (8)

Alicia Smith

Associate Professor

Emory University

UNITED STATES

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Brandy Henry

Assistant Professor

The Pennsylvania State University - University Park Campus

UNITED STATES

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stephan ripke

Charité - Universitätsmedizin Berlin

GERMANY

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Israel Liberzon

Professor and Department Head

Texas A&M University Health Sciences Center

UNITED STATES

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Roee Admon

ISRAEL

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Julia Kraft

Charité - Universitätsmedizin Berlin

GERMANY

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Seyma Katrinli

Emory University

UNITED STATES

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Mandy Rossignol

Professeur

University of Mons

BELGIUM

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Katharina Schultebraucks

Research Interests

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Contact this professor

Recent Grants

Articles (11)

Introduction to the Special Issue on the 39th Annual Meeting of the International Society for Traumatic Stress Studies: Scalable strategies to address the impact of trauma worldwide

Stress response and experiential avoidance among firefighters: Preliminary insights from network analyses

The impact of preexisting psychiatric disorders and antidepressant use on COVID-19 related outcomes: a multicenter study

Intranasal oxytocin administration impacts the acquisition and consolidation of trauma-associated memories: a double-blind randomized placebo-controlled experimental study in healthy women

Assessment of early neurocognitive functioning increases the accuracy of predicting chronic PTSD risk

Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood

Transcriptome-wide association study of post-trauma symptom trajectories identified GRIN3B as a potential biomarker for PTSD development

Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors

Utilization of Machine Learning-Based Computer Vision and Voice Analysis to Derive Digital Biomarkers of Cognitive Functioning in Trauma Survivors

Artificial Intelligence and Posttraumatic Stress Disorder (PTSD)

A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor

Collaborators (8)

Alicia Smith

Brandy Henry

stephan ripke

Israel Liberzon

Roee Admon

Julia Kraft

Seyma Katrinli

Mandy Rossignol

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