Traditional healthcare systems have large amounts of patient data in the form of physiological signals, medical records, provider notes, and comments. The biggest challenges involved in developing digital health applications are analyzing the vast amounts of data available, deriving actionable insights, and developing solutions that can run on embedded devices. Engineers and data scientists��
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