In a breakthrough led by researchers at the University of Queensland, a new algorithm could revolutionize the process of identifying and responding to antibiotic resistance. The algorithm, called Feature-Based Ensemble MeDic (FEMED), uses a combination of machine learning and statistical methods to quickly and accurately detect antibiotic resistance in bacterial genomes. This algorithm could dramatically reduce the time it takes to identify antibiotic resistance, allowing medical professionals to rapidly respond to potential outbreaks. The algorithm could also be used to develop new antibiotics to combat resistant bacteria, potentially saving lives and improving public health.

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source: Phys.org