Cardiogram is using deep learning to build continuous digital biomarkers—think of these as analogous to blood-based biomarkers, like cholesterol, but derived from wearable heart rate sensors like Apple Watch, Android Wear, or Fitbit. We then use these digital biomarkers to predict and prevent heart disease.
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An “App Store for Habits.” Each Habit packages up an evidence-based behavior that has been shown to work in the medical literature, and pairs it with an… · More objective biomarker of whether it’s working for you.
March 2016—Can a smart watch save you from a stroke?
Using deep learning and heart rate data to detect atrial fibrillation, the most common abnormal heart rhythm. This study is run in partnership with the… · More Health eHeart project at UCSF Cardiology.