How can Artificial Intelligence (AI) help fighting Antimicrobial resistance (AMR) ?

Antimicrobial resistance (AMR) is a growing public health concern, where microorganisms such as bacteria, viruses, fungi and parasites develop resistance to antimicrobial drugs,including antibiotics, antivirals, antifungals and antiparasitics.

Artificial intelligence (AI) can help in several ways to address the problem of AMR:

1. Drug discovery: AI can be used to identify new drugs or drug combinations that are effective against antimicrobial-resistant organisms.
2. Diagnostics: AI-powered diagnostic tools can help to quickly and accurately identify the presence of resistant organisms and determine the appropriate course of treatment.
3. Surveillance: AI can be used to analyze large amounts of data from electronic health records, surveillance systems and other sources to detect and track the emergence of resistance in microorganisms.
4. Prediction: AI algorithms can be trained to predict the emergence of resistance in certain microorganisms, this will help medical authorities to take proactive measures.
5. Precision medicine: AI can be used to identify patient-specific factors that contribute to the development of resistance and to tailor treatment regimens accordingly.

AI has the potential to significantly improve the fight against antimicrobial resistance, but it is not a silver bullet and its impact will depend on the availability of data and the quality of the algorithm used.