University of Washington (UW) researchers have created GlucoScreen, a prediabetes screening tool that taps the capacitive touch-sensing capabilities of smartphones to measure blood glucose levels.
Users apply a drop of blood to an enzyme-impregnated test strip, which sends data about the electrochemical reaction to a phone through a sequence of taps at varying speeds via pulse width modulation.
A machine learning application analyzes the data and calculates blood glucose levels; early results suggest GlucoScreen has a similar accuracy to that of current glucometer testing.
The method requires no complex electronic components, minimizing strip fabrication cost as well as power requirements.
From UW Allen School News
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Abstracts Copyright © 2023 SmithBucklin, Washington, D.C., USA
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