Innovative AI-based method to fight against anti-microbial resistance
Researchers from the Indraprastha Institute of Information Technology Delhi (IIIT Delhi) and INRIA Saclay have developed an innovative method based on AI for helping doctors treat drug-resistant infections by recommending alternative antibiotics using existing medications. The project’s approach relies on hybrid AI, with an algorithm learning from real-world clinical data, integrated with molecular-level data, such as bacterial genome information and chemical structure of antibiotics.
The algorithm was able to identify antibiotics that were either known to be effective or showed strong potential for repurposing based on cross-referenced evidence. This international collaboration demonstrates the possibility to use existing knowledge more effectively to open the door to smarter, faster responses to AMR.
This project provides scalable, data-driven decision-support tool for doctors, microbiologists, and policy-makers. It can be embedded in hospital systems or public health frameworks to reduce treatment delays, improve antibiotic stewardship, and potentially save lives
emilie.chouzenoux@centralesupelec.fr
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