Key Points:
– A study proposes using big data and machine learning for antimicrobial resistance (AMR) surveillance in livestock production.
– The approach could provide valuable information to develop interventions and tackle antibiotic-resistant germs.
– Livestock is a major contributor to AMR due to the excessive use of antibiotics in farming.
– By analyzing data on antibiotic use, animal health, and genetic information, machine learning algorithms can identify patterns and predict the emergence of drug-resistant strains.
Hot take:
Using big data and machine learning to combat antimicrobial resistance in livestock production is a brilliant idea! Finally, we can harness the power of technology to tackle the excessive use of antibiotics in farming and protect ourselves against dangerous antibiotic-resistant germs. Let’s hope this study leads to effective interventions and a safer future for both animals and humans.
Original article: https://www.sciencedaily.com/releases/2023/08/230818135151.htm