▎ 摘　　要

NOVELTY - Bio-sensing system comprises deep learning-based RF (Radio Frequency) bio-sensing system, used to receive an RF biosignal that changes according to a reaction between a propagation medium placed on a substrate and a biomarker, and the RF biosignal; RF biosensor that measures an S-coefficient including a reflection coefficient and a transmission coefficient through a signal; communications department used to receive information on the S-coefficient from the RF biosensor; S-coefficient used identifying the resonant frequency and peak depth of the S-coefficient from the information on the S-coefficient; and linkage of genetic information included in the biomarker according to information on the resonant frequency of the S-coefficient and the depth of the peak an analysis device including a processor that identifies the genetic information based on a deep learning model learned to perform calculation. USE - The system is useful for measuring the S-coefficient through the RF bio-signal (claimed). ADVANTAGE - The system: has low reproducibility and higher accuracy; used in RF bio-signal analysis method capable of real-time sensing and minimizing contamination e.g. biomarkers; and reduces inspection time and less contamination. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for identifying the genetic information based on a learned deep learning model. DESCRIPTION OF DRAWING(S) - The figure shows a schematic view of the bio-sensing system. 100Radio frequency biosensor 110Substrate 120Radio frequency measuring device 130Probe 200Analysis device