Researchers have found that out of the more than 300 COVID-19 machine learning models described in scientific papers in 2020, none of them is suitable for detecting or diagnosing COVID-19 from ...

A machine-learning approach to finding treatment options for COVID-19. ScienceDaily . Retrieved April 16, 2025 from www.sciencedaily.com / releases / 2021 / 02 / 210215092404.htm ...

“In their current reported form, none of the machine learning models included in this review are likely candidates for clinical translation for the diagnosis/prognosis of COVID-19,” the paper ...

Machine-learning models highlight text markers on radiographs as important for COVID-19 prediction. Swapping these markers between a pair of COVID-19-positive and COVID-19-negative images ...

An advanced machine-learning system can accurately predict if a patient’s bout with COVID-19 will become severe or fatal and relay its findings to clinicians. Clinicians often learn how to ...

University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalized COVID-19 patients. The research is published in The ...

Machine learning lets them track an outbreak like ... 12 of those were among the first cities that were impacted by COVID-19. The number-one city on the list was Bangkok, and Bangkok was the ...

We combined a machine learning algorithm with knowledge ... Early on during the COVID-19 pandemic, scientists who worked out the genetic code of the RNA molecules of cells in the lungs and ...

More information: William R. Zame et al. Machine Learning for Clinical Trials in the Era of COVID-19, Statistics in Biopharmaceutical Research (2020). DOI: 10.1080/19466315.2020.1797867 ...

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