Machine learning method for the classification of the state of living organisms’ oscillations
David Kweku,
Maria I. Villalba,
Ronnie G. Willaert
et al.
Abstract:The World Health Organization highlights the urgent need to address the global threat posed by antibiotic-resistant bacteria. Efficient and rapid detection of bacterial response to antibiotics and their virulence state is crucial for the effective treatment of bacterial infections. However, current methods for investigating bacterial antibiotic response and metabolic state are time-consuming and lack accuracy. To address these limitations, we propose a novel method for classifying bacterial virulence based on … Show more
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