New Wearable Sensor Enables Non-Invasive Health Tracking to Detect Disease Early

Researchers from Singapore have just announced a new wearable sensor that continuously monitors key skin biomarkers like cholesterol and lactate without invasive procedures. This technology aims to enhance early disease detection by providing a more convenient alternative to traditional methods.

The sensor, created by a team led by Assistant Professor Liu Yuxin from the National University of Singapore (NUS) and Dr. Yang Le from the Agency for Science, Technology, and Research (A*STAR), is designed to monitor health indicators directly on the skin. Unlike current methods that require blood, urine, or sweat samples, this device uses a hydrogel-based, stretchable material to detect biomarkers.

The sensor’s technology allows it to monitor health markers in real-time, which could be particularly useful in managing chronic diseases, conducting large-scale health screenings, and monitoring athletes’ performance.

The device operates by allowing biomarkers to dissolve into its hydrogel layer, where they undergo electrochemical reactions. This data is then transmitted wirelessly to an external device for analysis.

The researchers state that the sensor’s ability to monitor biomarkers on dry skin without the need for sweat sets it apart from other wearable technologies.

The development of this sensor addresses some of the challenges associated with traditional health monitoring methods. Blood tests are invasive and can be inconvenient, while other methods, like urine analysis, often lack real-time monitoring capabilities.

“Rather than subject pregnant women to multiple blood draws, our sensor could be used to track real-time sugar levels conveniently in patients’ homes, with a similar level of accuracy as traditional tests. This also can be applied to diabetes in general, replacing the need for regular finger-prick tests,” explained Asst Prof Liu in the YouTube presentation.

The researchers also envision using the sensor in conjunction with AI modeling to assess a patient’s resilience prior to major surgeries, such as open heart procedures.

Further research is underway to enhance the sensor’s performance and broaden its applications. The research team is also collaborating with hospitals to validate the technology clinically.