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Using AI to find optimal combination of available therapies against SARS-CoV-2


Using AI to find optimal combination of available therapies against SARS-CoV-2
A team of researchers from the National University of Singapore (NUS) has utilized a ground-breaking artificial intelligence (AI) platform to derive an optimal combination of available therapies against SARS-CoV-2, the cause of COVID-19. Their results showed that the optimal drug therapy was a combination of the drugs remdesivir, ritonavir, and lopinavir at specific doses.
Remdesivir is a broad antiviral medication that was recently approved by the United States Food and Drug Administration as a treatment for COVID-19. The team showed that a combination of remdesivir with ritonavir and lopinavir led to a treatment that was 6.5 times more effective than the limited effects of remdesivir alone. ....

United States , National University Of Singapore , Singapore General , Emily Henderson , Agata Blasiak , Institute For Health , Department Of Biomedical Engineering , Drug Administration , Institute For Digital Medicine Wis , Department Of Pharmacology , Shanghai Jiao Tong University , Cancer Science Institute Of Singapore , Senior Research Fellow In Prof Ho , National University , United States Food , Digital Medicine , Optimising Infectious Disease Combination Therapy , Artificial Intelligence , Cancer Science Institute , Knowledge Diffusion , Shanghai Jiao Tong , Translational Medicine , Senior Research Fellow , ஒன்றுபட்டது மாநிலங்களில் , தேசிய பல்கலைக்கழகம் ஆஃப் சிங்கப்பூர் , சிங்கப்பூர் ஜநரல் ,