Using machine learning to battle antibiotic resistance
Some researchers are training machine learning algorithms to identify known drug resistance genes in new strains of a pathogen. Others are using AI to hunt for entirely new resistance genes, seeking a better understanding of how bacteria fight off drug treatments. And some are moving into metagenomes, aiming to understand the resistance profile of environments such as wastewater effluent.
Advancing data technologies to corner AMR 2019
International Matchmaking Symposium on 5 June, 2019 in Amsterdam, The Netherlands.
Artificial Intelligence, Internet-of-Things and Blockchain to stop ever-escalating Antimicrobial resistance.