NeuroBlu | Research Publications & Evidence

NeuroBlu Data helps to advance the frontier of neuropsychiatry research and evidence generation. Our data has been used to generate dozens of peer-reviewed papers. Below is a selection of publications that have leveraged NeuroBlu Data; for our full list of publications or to learn more, please contact us at info@neuroblu.ai.

Demographic and clinical characteristics of patients with borderline personality disorder: Real-world insights from a retrospective observational study

Carissa White, Suzanne St.Rose, Jennifer B. Dwyer, Emily O.C. Palmer, Joannas Yeow, Kira Griffiths, Benjamin Chee, Mayowa Oyesanya, Rashmi Patel

August 4, 2025

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Peer-Reviewed Paper

BMJ MENTAL HEALTH

Transdiagnostic early warning score for psychiatric hospitalisation: development and evaluation of a prediction model

Maxime Taquet, Seena Fazel, A. John Rush

July 17, 2025

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Peer-Reviewed Paper

AMERICAN PSYCHIATRIC ASSOCIATION

Instability of Depressive Symptoms Predicts the Onset of Severe Depression Among Patients with Mild-to-Moderate Illness

Maxime Taquet, Thomas De Deyn, Nadia Lipunova, A. John Rush

May 17, 2025

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Conference Abstract

AMERICAN PSYCHIATRIC ASSOCIATION

Temporal and Contextual Detection of Five Depressive Disorder Symptoms from Unstructured Electronic Health Record Notes Using a Trained Natural Language Processing Model

Deepali Kulkarni, Shweta Seth Rego, Leslie Way, L. Alexander Vance

May 17, 2025

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Conference Abstract

BMC PSYCHIATRY

Identifying the diagnostic gap of tardive dyskinesia: An analysis of semi-structured electronic health record data

Kira Griffiths, Yida Won, Zachery Lee, Lu Wang, Christoph U. Correll, Rashmi Patel

April 21, 2025

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Peer-Reviewed Paper

SCHIZOPHRENIA INTERNATIONAL RESEARCH SOCIETY

Association between negative symptoms in schizophrenia and outcomes of weight gain and level of functioning: a real-world data study in the United States

Nadia Lipunova, Alejandro Cajigal, Matthew Sidovar, Mayowa Oyesanya, William Horan, Luke Bryden, Laila Hadaya, Doyoung Kim, Emily OC Palmer, Joannas Yeow, Subina Surendran, Kristin Gillard

March 29, 2025

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Conference Abstract

SCHIZOPHRENIA INTERNATIONAL RESEARCH SOCIETY

Identifying patients with tardive dyskinesia using the Schooler-Kane criteria and diagnostic codes in real-world data

Kira Griffiths, Emily OC Palmer, Nadia Lipunova

March 29, 2025

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Conference Abstract

SCHIZOPHRENIA INTERNATIONAL RESEARCH SOCIETY

Comparing the prevalence of schizophrenia symptoms using the mental state examination and validated rating instruments

Luke Bryden, Rose Sisk, Mayowa Oyesanya, Kira Griffiths, Nadia Lipunova

March 29, 2025

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Conference Abstract

SCHIZOPHRENIA INTERNATIONAL RESEARCH SOCIETY

A non-interventional observational study to describe demographic and clinical features of patients with negative symptoms in schizophrenia

Staci Abramsky, Kira Griffiths, Claudia Hastedt, Rashmi Patel, Rose Sisk, Nadia Lipunova, Mayowa Oyesanya, Theresa Cassidy

March 29, 2025

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Conference Abstract

BMJ Open

Retrospective cohort study of long-acting injectable (LAI) antipsychotic initiation in the inpatient setting: impact of LAI characteristics on transition and continuation of care among patients with schizophrenia in the USA

Rashmi Patel, Christian Liman, Mayowa Oyesanya, Sheryl Ker, Aishwarya Jayaraman, Kelli R Franzenburg, Rolf T Hansen, Mike J Philbin, Stephen Thompson

March 24, 2025

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Peer-Reviewed Paper

Duke Margolis Institute for Health Policy

Operational Tools and Best Practices to Support Electronic Health Record-Sourced Data Quality, Relevance, and Reliability at the Data Accrual Phase

Matthew D’Ambrosio, Patrick Rodriguez, Nora Emmott, Rachele Hendricks-Sturrup

February 14, 2025

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Others

BMC Medical Informatics and Decision Making

Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder

L. Alexander Vance, Leslie Way, Deepali Kulkarni, Emily O. C. Palmer, Abhijit Ghosh, Melissa Unruh, Kelly M. Y. Chan, Amey Girdhari, Joydeep Sarkar

January 13, 2025

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Peer-Reviewed Paper

Journal of Affective Disorders

Healthcare resource utilisation and suicidal ideation amongst adolescents in the US with posttraumatic stress disorder, major depressive disorder, and substance use disorders using electronic health records

Kelly M.Y. Chan, Li Tong Low, Joshua G. Wong, Sherwin Kuah, A. John Rush

August 13, 2024

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Peer-Reviewed Paper

The Journal of Clinical Psychiatry

Learning by Doing: Can Our Collective Experiences as Clinicians Improve Mental Health Care?

A. John Rush, MD, and Tony Tramontin, PhD

July 17, 2024

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Peer-Reviewed Paper

Addiction

Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learning

Fateme Nateghi Haredasht et al.

June 24, 2024

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Peer-Reviewed Paper

Duke-Margolis Institute for Health Policy

Real-World Evidence to Support Causal Inference: Methodological Considerations for Non-Interventional Studies

Nora Emmott et al.

June 18, 2024

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Others

Duke-Margolis Institute for Health Policy

Regulatory Fit-for-Purpose Considerations for Patient-Generated Health Data

Nora Emmott et al.

May 31, 2024

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Others

American Society of Clinical Psychopharmacology

The clinical global impression of severity (CGI-S): Bridging the research-practice gap

Joydeep Sarkar et al.

May 30, 2024

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Conference Abstract

Schizophrenia International Research Society

Clinical characteristics of patients with cognitive impairment associated with schizophrenia

Theresa Cassidy et al.

April 6, 2024

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Conference Abstract

Schizophrenia International Research Society

Long-term patient functioning and illness burden associated with cognitive impairment and negative symptoms in schizophrenia

Kira Griffiths et al.

April 5, 2024

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Others

Neuropsychiatric Disease and Treatment

Psychometric evaluation and linking of the PHQ-9, QIDS-C, and VQIDS-C in a real-world population with major depressive disorder

Palmer et al.

March 26, 2024

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Peer-Reviewed Paper

Natural Language Processing Journal

Enhancing pre-trained contextual embeddings with triplet loss as an effective fine-tuning method for extracting clinical features from electronic health record derived mental health clinical notes

Kulkarni et al.

December 8, 2023

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Peer-Reviewed Paper