Abstract
Artificial Intelligence for Precision Medicine in Antimicrobial Resistance" explores the transformative role of AI in combating antimicrobial resistance (AMR). It highlights how machine learning and data analytics can identify resistant pathogens, predict treatment outcomes, and personalize antibiotic therapies. By integrating AI with genomic and clinical data, the chapter illustrates advancements in diagnostic accuracy and treatment precision, reducing the misuse of antibiotics. It also addresses ethical considerations and the need for interdisciplinary collaboration. This chapter provides a comprehensive overview of AI's potential to revolutionize AMR management, ultimately improving patient outcomes and public health.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence in Managing Antimicrobial Resistance |
| Publisher | CRC Press |
| Pages | 60-74 |
| Number of pages | 15 |
| ISBN (Electronic) | 9781040411667 |
| ISBN (Print) | 9781032812458 |
| State | Published - 01 01 2025 |
Bibliographical note
Publisher Copyright:© 2025 Ramendra Pati Pandey, Chung-Ming Chang and V. Samuel Raj.