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10.1016/j.imr.2020.100434 http://scihub22266oqcxt.onion/10.1016/j.imr.2020.100434 C7255319!7255319!32632356     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Integr+Med+Res 2020 ; 9 (3): ä Nephropedia Template TP {{tp|p=32632356|t=2020. Artificial intelligence and COVID-19: A multidisciplinary approach |pdf=|usr=}}{{32632356}} gab.com Text Artificial intelligence and COVID-19: A multidisciplinary approach JO: Integr Med Res http://www.kidney.de/pget.php?&tw=1&pmid=32632356 #FOAvip The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus related datasets as well as published papers that must be leveraged along with artificial intelligence (AI) to fight this pandemic by driving news approaches to drug discovery, vaccine development, and public awareness. AI can be used to mine this avalanche of new data and papers to extract new insights by cross-referencing papers and searching for patterns that AI algorithms could help discover new possible treatments or help in vaccine development. Drug discovery is not a trivial task and AI technologies like deep learning can help accelerate this process by helping predict which existing drugs, or brand-new drug-like molecules could treat COVID-19. AI techniques can also help disseminate vital information across the globe and reduce the spread of false information about COVID-19. The positive power and potential of AI must be harnessed in the fight to slow the spread of COVID-19 in order to save lives and limit the economic havoc due to this horrific disease. Twit Text FOAVip Artificial intelligence and COVID-19: A multidisciplinary approach ????Integr Med Res http://www.kidney.de/pget.php?&tw=1&pmid=32632356 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32632356 #FOAvip English Wikipedia <ref>{{Cite pmid|32632356}}</ref> Artificial intelligence and COVID-19: A multidisciplinary approach #MMPMID32632356 Ahuja AS; Reddy VP; Marques O Integr Med Res 2020[Sep]; 9 (3): ä PMID32632356show ga The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus related datasets as well as published papers that must be leveraged along with artificial intelligence (AI) to fight this pandemic by driving news approaches to drug discovery, vaccine development, and public awareness. AI can be used to mine this avalanche of new data and papers to extract new insights by cross-referencing papers and searching for patterns that AI algorithms could help discover new possible treatments or help in vaccine development. Drug discovery is not a trivial task and AI technologies like deep learning can help accelerate this process by helping predict which existing drugs, or brand-new drug-like molecules could treat COVID-19. AI techniques can also help disseminate vital information across the globe and reduce the spread of false information about COVID-19. The positive power and potential of AI must be harnessed in the fight to slow the spread of COVID-19 in order to save lives and limit the economic havoc due to this horrific disease. äArtificial intelligence and COVID-19: A multidisciplinary approach (epmc).pdf DeepDyve Pubget Overpricing