MicroRNA Detection and Analysis Technologies

The primary challenge in advancing point-of-care nucleic acid tests aimed at detecting microRNAs is closely associated with the development of an automated, on-chip sample processing platform. The innovation of new technologies is vital for the effective extraction and pre-purification of biological specimens prior to their introduction into the sensing platform for analysis. Therefore, we plan to create a novel on-chip miRNA extraction and detection platform. Several existing technologies can facilitate precise microRNA detection for glioma diagnosis. The latest next-generation sequencing methods can uncover hundreds of distinct miRNAs in tear samples, providing invaluable insights into potential biomarkers. Recent advancements in machine learning models have significantly transformed the field of miRNA target prediction analysis. These sophisticated AI systems can process complex datasets derived from extensive databases, enabling more accurate and efficient identification of potential biomarkers. Furthermore, this innovative technology can enhance our predictive performance beyond that of traditional analytical tools. Recognizing the promise of these advancements, we aim to develop a cutting-edge AI-driven software tool designed to swiftly analyze research findings. This tool will also have the capability to continuously update and enrich existing databases, ensuring that healthcare professionals have access to the most current and relevant information in the field.