The team listed by Wei Gao showed that the association could collect real time data in 2023 and accelerate healing with electrical or medical interventions.
Tested in human patients
It was tried out as ICRES in 20 patients with improved version, diabetes or vascular blockade. The association continuously bumped into the liquid generated by the wound and recognized symptoms of inflammation and infections.
Designed with three micromodul modules equipped
Bandage; It consists of three microc components that remove excess moisture, analyze and carry out examples. Equipped with Nano -developed sensors, the device only analyzes fresh liquids and offers high accuracy.
GAO: “We can only achieve the right results by analyzing new fluid examples. In this way, the symptoms of an infection in the patient can notice 1 to 3 days before the symptoms,” he said.
Classification of artificial intelligence and wound and valued healing time
Researchers have also developed an algorithm of a mechanical learning that classified the type of wound and the recovery time can be predicted. The accuracy of this algorithm was similar to experienced doctors.
The association consists of a flexible polymer surface and can be produced at low costs with a 3D printer. The sensor section, which is located in the style of the user, offers hygienic use, the electronic map that processes the signals and the phone transmits to the phones can be reused.
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