Machinelearning uncovers the best drug combos to prevent COVID recurrence UCRiverside frontiersin
That the data came from China is significant for two reasons. First, when patients are treated for COVID-19 in the U.S, it is normally with one or two drugs. Early in the pandemic, doctors in China could prescribe as many as eight different drugs, enabling analysis of morecombinations. Second, COVID-19 patients in China must quarantine in a government-run hotel after being discharged from the hospital, which allows researchers to learn about reinfection rates in a more systematic way.
"Surprisingly, nearly 30% of patients became positive again within 28 days of being released from the hospital," said Jiayu Liao, associate professor of bioengineering and study co-author. "COVID-19 suppresses interferon, a protein cells make to inhibit invading viruses. With defenses lowered, COVID can replicate until thePeople who had weaker immune systems prior to COVID infection required an immune-boosting drug to fight the infection effectively. Younger peoples' immune systems become overactive with infection, which can lead to excessive tissue inflammation and even death.
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