AI in Diagnostic Microbiology and Genomics

Focus: Revolutionizing pathogen detection, identification, and characterization through artificial intelligence.

  • Key Topics:
    • Digital Pathology and Microscopy: Using deep learning algorithms to automatically detect pathogens (e.g., malaria parasites, TB bacilli) in blood smears, sputum samples, and tissue biopsies.
    • Genomic Interpretation: Deploying AI tools for rapid analysis of next-generation sequencing data to identify species, predict antimicrobial resistance markers, and trace transmission chains.
    • Syndromic Diagnostic Support: Developing AI-based clinical decision support systems that integrate patient symptoms, lab results, and exposure history to suggest likely diagnoses.
    • Metagenomics: Utilizing machine learning to identify known and novel pathogens directly from complex clinical samples (e.g., blood, CSF).

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