Sweat sensor enables continuous noninvasive measurement of cholesterol
If you see a doctor regularly, chances are you have had a lipid panel ordered and your blood drawn at a lab. The results told your physician your levels of cholesterol and triglycerides, factors that play a role in diagnosing conditions such as cardiovascular diseases and diabetes. Now, a team led by Wei Gao, a professor in Caltech's Cherng Department of Medical Engineering, has developed a…
A team led by Professor Wei Gao from Caltech's Cherng Department of Medical Engineering has created a wearable sweat patch that can continuously measure cholesterol and triglycerides without the need for blood draws. This noninvasive sensor utilizes machine learning to estimate blood lipid levels based on sweat measurements, taking into account factors such as body mass index, sex, and sweat rate.
Preclinical testing on 24 participants showed that the system accurately predicts blood lipid levels, with the ATP-releasing polymer enabling triglyceride sensing for more than 20 hours. This wearable device has the potential to provide early warnings for cardiovascular or metabolic diseases, as many people do not get their blood drawn regularly.
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