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Preclinical safety evaluation of hepatic arterial infusion of oncolytic poxvirus
Cho, Euna,Ryu, Eun Jin,Jiang, Fen,Jeon, Ung Bae,Cho, Mong,Kim, Cy Hyun,Kim, Miyoung,Kim, Nam Deuk,Hwang, Tae-Ho Dove Medical Press 2018 Drug design, development and therapy Vol.12 No.-
<P><B>Purpose</B></P><P>Oncolytic poxvirus has shown promise in treating various solid tumors, such as liver cancer, and administration of oncolytic poxvirus via the hepatic artery may provide more survival benefits than other routes of administration. However, there is a lack of safety information to guide the application of hepatic arterial infusion (HAI) of oncolytic poxvirus in human studies. To investigate the acute and chronic toxicity of HAI administration of oncolytic poxvirus in animals and provide safety information for future human studies.</P><P><B>Methods</B></P><P>VV<SUP>tk−</SUP>, a vaccinia poxvirus with inactivated <I>thymidine kinase</I> gene, was administered via HAI to rabbits with normal liver function under angiography (1×10<SUP>8</SUP> or 1×10<SUP>9</SUP> pfu), and rats with N-nitrosomorpholine-induced precancerous liver cirrhosis under open surgery (1×10<SUP>8</SUP> pfu). Body weights and survival were monitored and blood samples were collected for hematological and biochemical tests. Distribution of A56 (a specific marker for poxvirus infection) in rabbit organs was evaluated using immunofluorescence assays.</P><P><B>Results</B></P><P>HAI of high doses of VV<SUP>tk−</SUP> did not cause any acute or chronic changes in body weight, survival or in biochemical, hematological tests in the 2 animal models, and none of the changes showed dose dependency (in rabbit study), or were influenced by liver cirrhosis (in rat study). A56 was not detected in any of the major rabbit organs.</P><P><B>Conclusion</B></P><P>HAI may provide a safe alternative route of oncolytic poxvirus administration for human studies.</P>
Evaluation of Object Recognition Intelligence of Social Robots
Miyoung Cho,Minsu Jang,Choulsoo Jang,Daeha Lee 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
With the recent increase in the number of social robots, expectations from robot technology are increasing daily. In particular, the development of cognition technology using deep learning has enabled various services, leading to the expansion of the robot market. However, in a dynamic real environment, robot object recognition requires the concept of intelligence rather than performance. In this study, we constructed an object recognition intelligence evaluation model based on the visual perception of humans. Then, we evaluated the object recognition intelligence of a social robot using a scenario based on this model.