You’ve seen Stanford’s wireless smart bandage that speeds up wound healing, now check out the battery-free PETAL (Paper-like Battery-free In situ AI-enabled Multiplexed) sensor patch by researchers from the National University of Singapore (NUS) and A*STAR’s Institute of Materials Research and Engineering (IMRE). It doesn’t need an energy source because the images are captured by a smartphone and then analyzed by AI algorithms to optimize wound healing.
The patch consists of 5 colorimetric sensors capable of determining the patient’s wound healing status within 15 minutes by measuring a combination of biomarkers: temperature, pH, trimethylamine, uric acid and moisture of the wound. These biomarkers were carefully chosen to effectively and accurately assess wound inflammation / infection as well as the condition of the wound environment.
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Our AI algorithm is capable of rapidly processing data from a digital image of the sensor patch for very accurate classification of healing status. This can be done without removing the sensor from the wound. In this way, doctors and patients can monitor wounds more regularly with little interruption to wound healing. Timely medical intervention can then be administered appropriately to prevent adverse complications and scarring,” said Benjamin Tee, Associate Professor at the National University of Singapore (NUS).
