Genome sequencing-based assays, characterisation assays, genome sequencing-based assays, and mass spectrometry-based detection are all making significant progress in clinical microbiology. Furthermore, in recent years, laboratory automation and information systems linkage for big data and AI methods have been implemented in the clinical microbiology sector. The ability to detect microorganisms quickly in a clinical microbiology laboratory appears to be critical in determining the best patient management options for fungal, bacterial, and mycobacterial illnesses. Furthermore, clinical microbiology relies on a professional and specialised personnel to process and interpret clinical specimen results.
