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公开(公告)号:US20230047199A1
公开(公告)日:2023-02-16
申请号:US17903787
申请日:2022-09-06
Inventor: Jae Ryung OH , Jae Ho HAN , Yeon Woo JEONG , Bo Ram LEE
Abstract: Provided are apparatus and method for predicting biometrics using a fundus image. The method for predicting biometrics using a fundus image includes steps of preparation of a plurality of learning fundus images, generation of a learning model for predicting corresponding biometrics using the prepared data based on at least one characteristic of the fundus reflected in the prepared plurality of learning fundus images, reception of a prediction target of fundus image, and prediction of the biometrics of the subject of the prediction target of fundus image by using the generated learning model.
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2.
公开(公告)号:US20200181204A1
公开(公告)日:2020-06-11
申请号:US16663651
申请日:2019-10-25
Inventor: Jeewon LEE , Bo Ram LEE
IPC: C07K14/005 , C07K16/18 , C12N7/00 , A61K49/00 , A61K9/51
Abstract: The present invention relates to recombinant self-assembling protein nanoparticles presenting an albumin-binding peptide at the surface. For the recombinant self-assembling protein nanoparticles according to the present invention, an albumin-binding peptide can reduce the immunogenicity of the recombinant self-assembling protein nanoparticles because the albumin-binding peptide is presented at the surface, and thus binds to an albumin protein present in vivo, and the albumin-binding peptide can also provide the cancer delivery function of the recombinant self-assembling protein nanoparticles because the albumin-binding peptide binds to albumin around cancer. Simultaneously, the binding of the albumin-binding peptide to albumin can significantly increase the in vivo residence time of the recombinant self-assembling protein nanoparticles, thus increasing the potential for use in various medical applications.
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