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Integrating molecular diagnostics and artificial intelligence in chronic microbial disease.
1Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata, India.
Clinica Chimica Acta; International Journal of Clinical Chemistry
|December 28, 2025
Summary
New molecular diagnostics and AI offer faster, more accurate ways to detect and manage chronic microbial diseases. These advanced tools promise earlier detection and personalized treatments for better patient outcomes.
Area of Science:
- Microbiology
- Genomics
- Bioinformatics
- Precision Medicine
Background:
- Chronic microbial diseases present diagnostic challenges due to biofilms, resistance, and long disease courses.
- Conventional diagnostics are slow and lack precision for early detection and prognosis.
- Biofilm formation complicates disease management and treatment efficacy.
Purpose of the Study:
- To review current and emerging diagnostic and prognostic tools for chronic microbial diseases.
- To highlight the role of molecular diagnostics and omics technologies.
- To emphasize the potential of artificial intelligence (AI) in precision medicine for these diseases.
Main Methods:
- Review of recent advances in molecular diagnostics (PCR, NGS, CRISPR).
- Integration of omics technologies (genomics, proteomics, metabolomics).
- Application of artificial intelligence (AI) and big data analytics for data interpretation.
Main Results:
- Molecular diagnostics enable rapid, sensitive detection of pathogens and resistance markers.
- Omics technologies provide insights into disease pathways for personalized strategies.
- AI enhances data interpretation for pattern recognition, risk prediction, and tailored therapies.
Conclusions:
- Emerging technologies significantly improve diagnosis and prognosis of chronic microbial diseases.
- AI-driven precision medicine offers transformative potential for patient outcomes.
- Early detection and individualized treatment are key to better disease management.
Keywords:
AIBig dataBiofilmCRISPRChronic microbial diseasesMolecular diagnosticsOmics technologiesPersonalized medicineMore Related Videos
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