公开(公告)号：US20210046190A1

公开(公告)日：2021-02-18

申请号：US16965807

申请日：2019-01-30

Applicant: OSAKA UNIVERSITY ,  TOKYO INSTITUTE OF TECHNOLOGY

Inventor： Masaki MORI ,  Hideshi ISHII ,  Masamitsu KONNO ,  Hidetoshi EGUCHI ,  Naotsugu HARAGUCHI ,  Reishi TOSHIYAMA ,  Nobuhiro NISHIYAMA ,  Hiroyasu TAKEMOTO

IPC: A61K47/64 ,  A61P35/00 ,  A61K31/513 ,  A61K31/704 ,  A61K33/243

Abstract: An object to be achieved by the present invention is to provide a technique for enhancing the anticancer effect of ubenimex; in particular, enhancing its anticancer effect on solid cancer. This object can be achieved by a compound containing a chain structure in which a plurality of ubenimex molecules is linked to a chain polymer.

公开(公告)号：US20220101147A1

公开(公告)日：2022-03-31

申请号：US17418168

申请日：2019-12-27

Applicant: OSAKA UNIVERSITY

Inventor： Masamitsu KONNO ,  Hideshi ISHII ,  Masaki MORI ,  Ayumu ASAI ,  Jun KOSEKI

IPC: G06N3/12 ,  G06N20/00

Abstract: The present disclosure relates to predicting trait information from the genetic information of individuals, and generating a model therefor. Learning is performed using a plurality of types of genetic information from a plurality of individuals, and a model for predicting trait information is generated. For said learning, it is possible to create images of the genetic information, and provide the same to said learning. The images in the present disclosure can store both sequence information and expression information. Moreover, the layout of genetic factors in the images can be optimized. Said learning can be performed as split learning, and the data after said split learning can be consolidated.