Machine learning to battle COVID-19 bacterial co-infection

2 Feb 2024
Person holding a graphical representation of human lungs
Image: Adobe

University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalised COVID-19 patients.

The machine learning technique can help detect whether antibiotic use is critical for patients with these infections.

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