The Role of Machine Learning in Addressing Antibiotic Resistance: A New Era in Infectious Disease Control

Antimicrobial resistance (AMR) is rising, and traditional methods to address it are slow and expensive, but artificial intelligence (AI) is transforming the field by rapidly analysing vast chemical and biological data to discover new antimicrobial compounds. AI can identify resistance trends, accelerate the development of effective new antibiotics, support faster diagnosis, and help predict emerging threats, making it an increasingly essential tool in combating multidrug-resistant infections. This review highlights how AI enhances AMR detection, drug discovery, and early identification of resistance symptoms, underscoring its growing importance in protecting global health.