AI system developed to identify alternative antibiotics for drug-resistant infections

Researchers from Inria Saclay and the Indraprastha Institute of Information Technology Delhi have developed an AI-based method to recommend alternative antibiotics for drug-resistant bacterial infections. The approach aims to aid clinical decision-making by repurposing existing medications. Antimicrobial resistance (AMR) is a global public health concern, with over 70% of hospital-acquired infections in low- and middle-income countries resistant to at least one common antibiotic. The team developed a machine learning algorithm to suggest alternate treatments for drug-resistant bacterial infections using a hybrid AI approach. The model identifies patterns based on real-world clinical data and molecular-level inputs, including bacterial genome sequences and chemical structures of antibiotics. The AI tool could be used in hospitals or public health settings to assist doctors and microbiologists in reducing treatment delays and improving antibiotic stewardship.