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 Harvard Medical School, Beth Israel Deaconess Medical Center, Massachusetts General Hospital, and MIT, 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.
9 Sep 2025
The Brain Imaging and Neurophysiology Database -BIND - is published on bdsp.io
4 Sep 2025
The EEG Talk experience: Lessons in e-teaching EEG
29 Aug 2025
A Machine Learning Approach for Identifying People With Neuroinfectious Diseases in Electronic Health Records: Algorithm Development and Validation is published in JMIR
12 Aug 2025
Automated analysis of the AASM Inter-Scorer Reliability gold standard polysomnogram dataset is published in JCSM
7 Aug 2025
Health-Oriented Sleep States: Making Sleep States Reflect Health Conditions is published in SLEEP
6 Aug 2025
Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance
5 Jul 2025
Controversies: Periodic discharges in critically ill patients - urgent treatment is essential
2 Jul 2025
Inter-Rater Reliability of EEG-Based Encephalopathy Grading (EGGS IRR 1.0) is published in JCN!
6 Jun 2025
SpikeNet2.0 is published in NEJM AI. Congrats to JJ, Jun, Daniel, Moritz, ChenXi et al!