Resources


Database Open Access

NIDX: A Machine Learning Approach for Identifying People with Neuroinfectious Diseases in Electronic Health Records

Arjun Singh, Shadi Sartipi, Haoqi Sun, Niels Turley, Sahar Zafar, Sudeshna Das, Marta Fernandes, M Brandon Westover, Shibani Mukerji

A machine learning approach to accurately identify neuroinfectious diseases from clinical notes.

electronic health records ehr phenotyping neuroinfectious diseases natural language processing

Published: May 31, 2025. Version: 1.0

Software Credentialed Access

Philosopher's Stone

Wolfgang Ganglberger, Haoqi Sun, Niels Turley, Ayush Tripathi, Peter Hadar, Kaileigh Gallagher, Ryan Tesh, Soriul Kim, Samaneh Nasiri, Yue Leng, Stephanie Harrison, Katie Stone, Timothy Hughes, Susan Redline, Rhoda Au, Dara S. Manoach, Hans-Peter Landolt, Reto Huber, Emmanuel Mignot, Chol Shin, Sydney Cash, Robert Thomas, M Brandon Westover

Initial version

machine learning sleep brain health artificial intelligence

Published: Nov. 26, 2025. Version: 1.0.0

Database Credentialed Access

Automated detection of immune effector cell-associated neurotoxicity syndrome (ICANS) via quantitative EEG

Christine Eckhardt, Haoqi Sun, Jin Jing, Daniel Rubin, Eyal Kimchi, Sydney Cash, Matthew J. Frigault, Jong Woo Lee, Jorg Dietrich, M Brandon Westover

Dataset and code for developing and validating the EICANS score, a machine learning–derived EEG metric for automated detection and grading of immune effector cell-associated neurotoxicity syndrome (ICANS) in patients receiving CAR-T cell therapy.

car-t eeg encephalopathy neurotoxicity

Published: Feb. 9, 2026. Version: 1.0

Database Credentialed Access

The Brain Imaging and Neurophysiology Database (BIND)

Charlotte Maschke, Peter Hadar, Yicheng Zhang, Jian Li, Gauri Ganjoo, Andrew Hoopes, Alessandro Guazzo, Aditya Gupta, Manohar Ghanta, Bruce Nearing, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, Jennifer Kim, Shibani Mukerji, Adrian Dalca, Sahar Zafar, Alice Lam, Emmanuel Mignot, M Brandon Westover

BIND Database 1: Neuroimaging Data (MRI, CT, PET, SPECT) that can be paired with EEG and PSG (found in the Harvard EEG Database https://bdsp.io/content/harvard-eeg-db/4.1/). LLMs helped categorize pathology.

ct mri brain imaging

Published: Sept. 9, 2025. Version: 1.0

Database Credentialed Access

Automated phenotyping of mild cognitive impairment and dementias using electronic health records - Data and Code

Ruoqi Wei, Robert Thomas, M Brandon Westover, Haoqi Sun

Data and Code to reproduce results in "Automated phenotyping of mild cognitive impairment and dementias using electronic health records"

nlp ad mci

Published: June 5, 2025. Version: 1.0

Model Credentialed Access

Automated extraction of post-stroke functional outcomes from unstructured electronic health records

Marta Fernandes, Kaileigh Gallagher, Niels Turley, Aditya Gupta, M Brandon Westover, Aneesh Singhal, Sahar Zafar

This project aims to automatically extract mRS scores for a post-stroke patient population from unstructured electronic health records using natural language processing

stroke machine learning natural language processing modified rankin scale

Published: Oct. 2, 2025. Version: 1.0.0

Database Credentialed Access

PRediction Of Disease PHEnoTypes (PROPHET)

Niels Turley, Marta Fernandes, Shadi Sartipi, Han Wu, Alice Lam, Lydia Petersen, Catherine Clive, Daniel Sumsion, Ruoqi Wei, Bram Overmeer, Jaden Searle, Gregory Hooke, Spencer Boris, Wan-Yee Kong, Arjun Singh, Marjan Sarami, Alihan Yaramis, Imad Akbar, Rebecca Milde, Jet Veltink, Elijah Davis, Aditya Gupta, Manohar Ghanta, Aidan McDonald Wojciechowski, Shibani Mukerji, Haoqi Sun, M Brandon Westover, Sahar Zafar

Multicenter expert-annotated EHR dataset and NLP phenotyping framework for 17 neurological conditions spanning diagnoses, severity scales, and outcomes across six U.S. health systems.

Published: March 31, 2026. Version: 1.0

Database Credentialed Access

Narcolepsy Risk Estimation from Clinical Notes

Niels Turley, Haoqi Sun, M Brandon Westover

Dataset and code for developing and validating machine learning models to phenotype narcolepsy type 1 (NT1) and narcolepsy type 2/idiopathic hypersomnia (NT2/IH) from multi-site electronic health record data, including cross-sectional classification

Published: March 2, 2026. Version: 1.0

Database Credentialed Access

The Boston Childrens Hospital Sleep Corpus

Ayush Tripathi, Wolfgang Ganglberger, Haoqi Sun, Callison Alcott, Niels Turley, Rebecca Fitzgerald, Ayan Mitra, Samuel Waters, Arnav Gupta, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Samaneh Nasiri, Bruce Nearing, Katie Stone, Emmanuel Mignot, Dennis Hwang, Matthew Reyna, Zuzana Koscova, Chad Robichaux, Zhiyong Zhang, Qiao Li, Gauri Ganjoo, Lynn Marie Trotti, Gari Clifford, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, M Brandon Westover, Kiran Maski, Umakanth Katwa

The Boston Children’s Hospital (BCH) Sleep Corpus comprises 15,695 fully annotated pediatric polysomnography (PSG) recordings collected between 2010 and 2024.

Published: Aug. 6, 2025. Version: 1.0.1

Database Restricted Access

SpikeNet 2.0

Jun Li, Daniel Goldenholz, Shenda Hong, Chenxi Sun, Jin Jing, M Brandon Westover

An expert-level deep learning model for detecting epileptiform discharges in EEG recordings at both event and whole-EEG levels.

Published: April 30, 2025. Version: 1.0