Future Trends and Challenges in Pharmaceutical Microbiology with the Integration of Artificial Intelligence

Abstract

Pharmaceutical microbiology, vital for ensuring product safety, faces transformative changes amidst evolving trends. This study anticipates future trends, spotlighting emerging technologies reshaping microbial analysis. Integrating omics data with artificial intelligence (AI) and machine learning (ML) accelerates predictive modeling and biomarker identification. The rise of personalized medicine tailors antimicrobial therapies based on individual patient profiles. However, challenges loom. Regulatory adaptation, encompassing cutting-edge technology validation and data integrity assurance, is imperative. Ethical considerations regarding AI, data privacy, and genetically modified microbes necessitate careful attention. In conclusion, this chapter offers a forward-looking perspective on pharmaceutical microbiology, encompassing technological advancements, innovative strategies, and regulatory considerations. Proactively addressing challenges will shape the field, enhancing our ability to combat diseases, develop safer pharmaceuticals, and ensure global health security.