The Clinical Data Animation Center (CDAC) brings medical data to life. Our research aims to help people preserve and enhance brain health. CDAC maintains the Brain Data Science Platform (BDSP), and is affiliated with Harvard Medical School, Beth Israel Deaconess Medical Center, Massachusetts General Hospital, and MIT. Our research areas include sleep, dementia, epilepsy, delirium/encephalopathy, anoxic brain injury, status epilepticus, the ictal-interictal-injury continuum, subarachnoid hemorrhage, and critical illness neurophysiology.
We develop mathematical models to clarify risk-benefit tradeoffs in medical decision-making, predict neurologic outcomes in critical care settings, and automate tasks in medicine previously performed only by clinical experts.
Our research emphasizes working with clinical data from large and heterogenous patient cohorts to ensure that our models work in the real world. We and our collaborators are creating a Brain Data Science Platform (BDSP), a massive cloud-based repository of clinical neurology data and code for conducting research.
Funding for the lab has been provided by 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.
13 Nov 2024
New dataset: Sleep Electroencaphalography-Based Brain Age Index
7 Nov 2024
ECG dataset update: Harvard Electroencephalography Database v 2.0
31 Oct 2024
Marta and Sahar’s paper on extracting mRS from notes is published in JAHA
25 Oct 2024
How to tell if GPDs are `ictal’: Commentary from Marcus Ng et al
22 Oct 2024
Dataset publication: Assessing Risk of Health Outcomes From Brain Activity in Sleep
10 Sept 2024
Kayley’s paper on EEG spectrogram patterns is out!
10 Sept 2024
Marta’s paper on extracting seizure control metrics from notes is published
31 Aug 2024
Wolfgang’s and Sameneh’s paper is published in SLEEP
26 July 2024
Wendong’s and Lidia’s paper published about NLP identification of fall-related injuries in EHR notes