Transforming clinical data into life-saving insights for brain health.
The Clinical Data Animation Center (CDAC) conducts research to preserve and enhance brain health through advanced data science. Affiliated with Stanford University, Harvard Medical School, Beth Israel Deaconess Medical Center, and Massachusetts General Hospital, we focus on critical neurological conditions including sleep disorders, dementia, epilepsy, and acute brain injuries.
Our Approach: We develop AI models that help doctors clarify risk-benefit tradeoffs in medical decisions, predict neurological outcomes in critical care, and automate complex clinical tasks. Working with diverse patient populations ensures our models perform effectively in real-world settings.
Our Platform: CDAC manages the Brain Data Science Platform (BDSP), an NIH-approved repository that advances collaborative, open science in neurology research. Through the BDSP Contributing Collaborators Consortium (BDSPC3), we unite research consortia worldwide to share data and collaborate across diverse neurology topics.
Our Impact: Our work empowers clinicians with better decision-making tools and accelerates neurological research worldwide, ultimately improving outcomes for patients with brain-related conditions.
CDAC receives support from the National Institutes of Health, National Science Foundation, American Academy of Neurology, American Academy of Sleep Medicine, the Glenn Foundation for Medical Research, and AWS.

10 Jul 2026
A Primer on EEG Spectrograms: a de-identified EEG/qEEG teaching atlas is published on bdsp.io
10 Jul 2026
Epileptiform activity and outcomes in toxic-metabolic encephalopathy is published on bdsp.io
9 Jul 2026
Interpretable quantitative criteria for evaluating interictal epileptiform discharges is published on bdsp.io
9 Jul 2026
DDESVSFS: a screening tool for the differential diagnosis of epileptic versus functional seizures is published on bdsp.io
9 Jul 2026
2HELPS2B: an EEG-based risk score for seizure probability in hospitalized patients is published on bdsp.io
8 Jul 2026
Continuous EEG monitoring enhances multimodal outcome prediction in hypoxic-ischemic brain injury is published on bdsp.io
8 Jul 2026
Time-dependent risk of seizures in critically ill patients on continuous electroencephalogram is published on bdsp.io
7 Jul 2026
The Neurotech EEG Dataset is published on bdsp.io
7 Jul 2026
Forecasting immune effector cell-associated neurotoxicity syndrome after CAR T-cell therapy is published on bdsp.io