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Digital Health / Artificial Intelligence

We love technology and are inspired by the potential of large scale data to impact patient care. Data streams from wearable devices, medical imaging, electronic health records, and multi-omics are our favorites. We partner with companies like Apple, Google, and Samsung to promote precision health at scale.

My Heart Counts

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The MyHeartCounts Cardiovascular Health Study was among the first ResearchKit apps developed in collaboration with Apple. It provides a digital research platform for a large-scale study of how genetics, physical activity, sleep patterns, and other lifestyle factors influence cardiovascular health. We completed the first fully digital randomized clinical trial on the platform in 2019. In 2020, we are partnering with Google Cloud and FDA to launch a new version simultaneously on iOS and Android.


Deep learning for wearable data and telemetry

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We use digital data to develop novel deep learning architectures for the detection of abnormal cardiac events. Monitoring and tracking of patients’ cardiovascular states are of particular interest and we have focused on two data streams in particular: wearable devices and in-hospital telemetry. We developed Deepbeat a novel deep learning method for the detection of atrial fibrillation from wearable device data. We are actively developing approaches to smart telemetry to improve in-hospital alarms.


AI approaches to medical imaging

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Imaging is central to the diagnosis of many conditions, particularly in cardiology. We are developing deep learning approaches to precision phenotyping and studying the actual performance in real life through an appreciation of the complex interplay between human and computer. Merging human intelligence and artificial intelligence, we are publically releasing over ten thousand echocardiogram videos for use by computer scientists, data scientists, and cardiologists.