首页|Studies from University of North Carolina Further Understanding of Machine Learn ing (Machine Learning Enabled Microneedle-based Colorimetric Ph Sensing Patch fo r Wound Health Monitoring and Meat Spoilage Detection)
Studies from University of North Carolina Further Understanding of Machine Learn ing (Machine Learning Enabled Microneedle-based Colorimetric Ph Sensing Patch fo r Wound Health Monitoring and Meat Spoilage Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Raleigh, North Carolina, by Ne wsRx journalists, research stated, “Since pH can alter the biological functions, level of nutrients, wound healing process, and the behavior of chemicals, vario us healthcare and food industries are showing increased interest in manufacturin g low-cost optical pH sensors for meat spoilage detection and wound health monit oring. To meet this demand, we have developed a simple and low-cost machine lear ning-enabled microneedle-based colorimetric pH sensing patch that can be used fo r food quality and wound health monitoring applications.” Financial support for this research came from National Science Foundation (NSF).
RaleighNorth CarolinaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUni versity of North Carolina
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