Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies

Key Points

• This research focuses on developing a predictive model for diagnosing S. aureus infections using cytokine and antibody levels.
• Utilized simultaneous detection of cytokines and antibodies for predictive modeling.
• Implemented a dual-scale approach for data analysis and interpretation.
• Recommended further validation with independent datasets.
• Proposed model effectively predicts S. aureus infections based on biomarker levels.
• Demonstrated strong potential for application in diagnosing various bacterial and viral infections.