EARTH.COM - In an unprecedented machine learning study, the most effective drug combinations to prevent COVID-19 from returning, following initial infection, have been discovered. However, these combinations are not universally effective, but vary between patients.
The research was led by experts at the University of California, Riverside, utilizing real-world data from a Chinese hospital.
“That makes this study unique and interesting. You can’t get this kind of data anywhere else in the world,” stated Xinping Cui, a statistics professor at UCR and one of the authors of the study.