Method and system for providing cancer diagnosis information using artificial intelligence-based liquid biopsy of exosome

A system for providing cancer diagnosis information using artificial intelligence-based liquid biopsy of exosome, comprising:

• a training data input unit to receive input of a cultured cell exosome Surface Enhanced Raman Spectroscopy (SERS) signal used to train a deep learning model;
• a patient data input unit to receive input of a patient's blood exosome SERS signal data;
• the deep learning model trained using the cultured cell exosome SERS signal inputted through the training data input unit to analyze the blood exosome SERS signal data inputted through the patient data input unit;
• and
• a similarity analysis unit to analyze a similarity between blood exosome data and cultured cell exosome data analyzed through the deep learning model.