GaN-based sensors enable previously unseen applications
Molecular diagnostics
In molecular diagnostics, GaN sensors can be integrated with bio-recognition elements, allowing for the detection of specific genetic mutations, infectious pathogens, or disease markers. Their ability to operate in harsh environments and deliver real-time results enhances their potential in point-of-care diagnostics, early disease detection, and personalized medicine. This technology holds promise for rapid, accurate, and scalable molecular diagnostic platforms.
PoC ELISA
In point-of-care settings, GaN-based ELISA sensors can enable quick diagnostic results, making them valuable for on-site testing in clinics or remote areas. Their high stability and fast response times reduce the need for laboratory equipment, offering an efficient, portable solution for early diagnosis and monitoring of diseases.
Cell Signal Analysis
GaN-based sensors combined with artificial intelligence (AI) are revolutionizing cell signal analysis by enhancing the precision and efficiency of cellular measurements. GaN’s high sensitivity and fast response times make it ideal for capturing subtle changes in cell signals, which are critical for understanding cellular behaviors and interactions.
AI algorithms analyze the data collected by GaN sensors to identify patterns, interpret complex signal dynamics, and predict cellular responses. This integration enables real-time monitoring of cell activity, facilitates the discovery of new biomarkers, and aids in drug development by providing deeper insights into cellular processes. The combination of GaN sensors and AI thus represents a powerful tool for advancing cellular research and improving diagnostics and therapeutic strategies. Cell Signaling