Reinventing Health Care: AI-Enabled Sensor Patch for Timely Healing Monitoring
The field of wound care and management is witnessing a transformative shift with the integration of advanced artificial intelligence (AI) models like ChatGPT and wireless modules. This convergence has brought about significant changes in how we perceive, access, and interact with wound healing. In a recent breakthrough, researchers from the National University of Singapore (NUS) and A*STAR’s Institute of Materials Research and Engineering (IMRE) have introduced a groundbreaking invention that enables timely and effective monitoring of wound recovery, revolutionizing wound care and management.
Traditionally, wound healing has relied on visual examination by clinicians, which often leads to delayed diagnosis and intervention. However, the PETAL (Paper-like Battery-free In situ AI-enabled Multiplexed) sensor patch developed by NUS and IMRE researchers offers a simple, convenient, and non-invasive solution. By leveraging five colorimetric sensors, this thin and flexible patch accurately measures biomarkers such as temperature, pH, trimethylamine, uric acid, and moisture, enabling the assessment of wound inflammation, infection, and environment condition.
The PETAL sensor patch operates without an energy source, allowing the captured sensor images to be analyzed by AI algorithms using a mobile phone. This innovative approach ensures uninterrupted wound healing while enabling regular and accurate monitoring. With timely intervention, adverse complications and scarring can be prevented, improving patient outcomes.
At GBX Technology, we embrace the latest advancements in IoT devices and wireless connectivity to deliver cutting-edge solutions. Contact us today to explore how our expertise can transform your wound care and management practices. Together, let’s shape the future of healthcare.