The iORoX project aims to improve central nervous system infection (CNSI) diagnosis by integrating proteomics, clinical data, and machine learning. By utilizing advanced technologies, the project seeks to identify novel biomarkers, enhancing diagnostic accuracy and enabling early detection of CNSI through data-driven insights.