Researchers at digital health startup Cardiogram and UCSF (University of California San Francisco) developed a deep learning algorithm that can diagnose diabetes with an 85% accuracy by using the smart watch’s built-in heart rate sensor. With the help of Tesla P100 GPUs and the cuDNN-accelerated TensorFlow deep learning framework, the team trained their DeepHeart neural
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