Bloodless Blood Tests Identify Unusual Potassium Levels in Patients

Using smartphone technology, a group of Harvard scientists are making it possible for people to monitor their blood potassium levels at home without drawing blood. The scientists developed a machine learning algorithm to detect potassium abnormalities in the blood. How does it work? They attach electrodes to a smartphone to record an ECG. Then, the machine learning algorithm flags subtle changes in the ECGs that correlated with blood potassium levels.

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