Investigational treatments/drugs for coronavirus disease 2019(COVID-19)have been applied,with repurposed or newly developed drugs,and their effectiveness has been evaluated.Some of these drugs may be hepatotoxic,and e...Investigational treatments/drugs for coronavirus disease 2019(COVID-19)have been applied,with repurposed or newly developed drugs,and their effectiveness has been evaluated.Some of these drugs may be hepatotoxic,and each monotherapy or combination therapy may increase the risk of drug-induced liver injury(DILI).We should aim to control dysregulation of liver function,as well as the progression of COVID-19,as much as possible.We discussed the potential risks of investigational treatments/drugs and promising drugs for both COVID-19 and DILI due to investigational treatments/drugs.展开更多
As a key technology of rapid and low-cost drug development, drug repositioning is getting popular. In this study, a text mining approach to the discovery of unknown drug-disease relation was tested. Using a word embed...As a key technology of rapid and low-cost drug development, drug repositioning is getting popular. In this study, a text mining approach to the discovery of unknown drug-disease relation was tested. Using a word embedding algorithm, senses of over 1.7 million words were well represented in sufficiently short feature vectors. Through various analysis including clustering and classification, feasibility of our approach was tested. Finally, our trained classification model achieved 87.6% accuracy in the prediction of drug-disease relation in cancer treatment and succeeded in discovering novel drug-disease relations that were actually reported in recent studies.展开更多
文摘Investigational treatments/drugs for coronavirus disease 2019(COVID-19)have been applied,with repurposed or newly developed drugs,and their effectiveness has been evaluated.Some of these drugs may be hepatotoxic,and each monotherapy or combination therapy may increase the risk of drug-induced liver injury(DILI).We should aim to control dysregulation of liver function,as well as the progression of COVID-19,as much as possible.We discussed the potential risks of investigational treatments/drugs and promising drugs for both COVID-19 and DILI due to investigational treatments/drugs.
文摘As a key technology of rapid and low-cost drug development, drug repositioning is getting popular. In this study, a text mining approach to the discovery of unknown drug-disease relation was tested. Using a word embedding algorithm, senses of over 1.7 million words were well represented in sufficiently short feature vectors. Through various analysis including clustering and classification, feasibility of our approach was tested. Finally, our trained classification model achieved 87.6% accuracy in the prediction of drug-disease relation in cancer treatment and succeeded in discovering novel drug-disease relations that were actually reported in recent studies.
