Welcome to CDAC

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.

News

5 May 2025

Alek and Brandon in JAMA Neurology on the risks of general AI

5 May 2025

Moritz’s CYCLOPS is published in Epilepsia!

25 Apr 2025

Erik-Jan’s Ordinal Sleep Depth paper is published in SLEEP!

11 Apr 2025

Shenda’s Continuous Sleep Depth model is published in NPJ Digital Medicine!

8 Mar 2025

Fabio’s and Doyle’s Decision Hygiene published in Clinical Neurophysiology!

21 Nov 2024

BDSP is officially an NIH-recognized data sharing platform

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

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