Advances in diagnostic methods for detection of bloodstream pathogens and antibiotic resistance determinants

This Perspective highlights the growing threat of multidrug-resistant bacteria in bloodstream infections and explores the role of various diagnostic technologies in the early identification of bacterial pathogens and antibiotic resistance genes. We review current diagnostic approaches and their applications in surveillance, infection control, and antimicrobial stewardship. Rapid detection of bloodstream pathogens and resistant organisms enables clinicians to promptly tailor treatment, improve patient outcomes, reduce complications, and shorten hospital stays. Emerging innovations in machine learning, artificial intelligence, whole genome sequencing, and point-of-care molecular diagnostics hold great promise for enhancing the detection and management of these serious infections.