Augustus Rush

Adjunct Professor

Texas Tech University

United States

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Augustus Rush is an Adjunct Professor at Texas Tech University in the United States. His research primarily focuses on major depressive disorder, digital therapeutics, and the efficacy of various treatment methodologies in mental health. Recent publications include studies on the integration of digital therapeutics with traditional antidepressant treatments and the neurobiological underpinnings of depression.

Articles (17)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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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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2021

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2021

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2021

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2021

Collaborators (5)

Matthias Arnold

Adj. Associate Professor

Duke University

UNITED STATES

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Joanna Biernacka

Associate Professor

Mayo Clinic

UNITED STATES

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Boadie Dunlop

Professor

Emory University School of Medicine

UNITED STATES

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Rick Jansen

Assistant Professor

Amsterdam UMC, University of Amsterdam

NETHERLANDS

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Christine Moutier

Chief Medical Officer

UNITED STATES

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Augustus Rush

Research Interests

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Articles (17)

A digital therapeutic (CT-152) as adjunct to antidepressant medication: A phase 3 randomized controlled trial (the Mirai study)

Bile Acids and Functional Connectivity of Executive Control and Default Mode Networks in Patients With Major Depression

Interpersonal Psychotherapy: A Global Reach

Effect of next-step antidepressant treatment on suicidal ideation: findings from the VAST-D trial

The metabolome-wide signature of major depressive disorder

Evaluating the Efficacy of a Digital Therapeutic (CT-152) as an Adjunct to Antidepressant Treatment in Adults With Major Depressive Disorder: Protocol for the MIRAI Remote Study

Acknowledging progress and current challenges

The Quick Inventory of Depressive Symptomatology, Adolescent Version (QIDS-A17): A Psychometric Evaluation

Clinical research challenges posed by difficult-to-treat depression

Making Therapy Widely Available: Clinical Research Triumph or Existential Catastrophe?

Psychometric and Clinical Evaluation of the Clinician (VQIDS-C5) and Self-Report (VQIDS-SR5) Versions of the Very Quick Inventory of Depressive Symptoms

Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings

Factors That Affect Patient Attrition in Buprenorphine Treatment for Opioid Use Disorder: A Retrospective Real-World Study Using Electronic Health Records

Impact of childhood maltreatment on outcomes of antidepressant medication in chronic and/or recurrent depression

Setting Measurement-Based Care in Motion: Practical Lessons in the Implementation and Integration of Measurement-Based Care in Psychiatry Clinical Practice

Can the digital revolution improve care for mood disorders patients?

Differential response to SSRI versus Placebo and distinct neural signatures among data-driven subgroups of patients with major depressive disorder

Collaborators (5)

Matthias Arnold

Joanna Biernacka

Boadie Dunlop

Rick Jansen

Christine Moutier

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