Using machine learning to battle antibiotic resistance
15 May 2019
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.
Further reading: Critical Future
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OUR UNDERWRITERS
Unrestricted financial support by:
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LifeArc |
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Antimicrobial Resistance Fighter Coalition |
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Bangalore Bioinnovation Centre |
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INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS |
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Welcome at the AMR Insights Ambassador Network!
The AMR Insights Ambassador Network is a growing, distinctive group of professionals who stand out for their commitment, willingness to cooperate and open attitude to combat Antimicrobial resistance (AMR).
