Researchers from IIIT-Delhi and France’s Inria Saclay have created an artificial intelligence (AI) system designed to help fight drug-resistant infections, also known as superbugs. The project is led by Professor Angshul Majumdar and Dr. Emilie Chouzenoux, in partnership with Deep Light in Delhi and CentraleSupelec in France.
Superbugs are bacteria and fungi that resist antibiotic treatments, making infections difficult to treat. This new AI tool can suggest effective combinations of existing antibiotics to tackle these resistant strains. It analyzes real patient data from leading hospitals in India, bacterial genome information, and the chemical structure of antibiotics to recommend the best treatment options.
Professor Majumdar explained that the misuse of antibiotics is contributing to this crisis, especially in countries like India. For example, people often take antibiotics for viral infections, which don’t require them. Over time, this misuse allows bacteria to evolve and become resistant, leading to serious health issues even from simple infections.
The AI system has successfully tested treatment suggestions for drug-resistant bacteria, including strains responsible for illnesses like tuberculosis and gonorrhea. Rather than prescribing a single antibiotic, the tool can recommend several options, based on the specific bacteria’s genetic makeup. This approach mimics how doctors currently manage complex cases.
While the system focuses on bacterial infections, there are plans for it to be adapted for viral infections and diseases like hypertension in the future. The researchers hope that eventually, this AI tool will be integrated into hospital systems, especially in areas with limited access to advanced medical diagnostics. With antimicrobial resistance identified as a significant global health threat, this AI-powered solution could enhance treatment options and help preserve the effectiveness of antibiotics.
