Patents by Inventor Jeong Hye Park

Jeong Hye Park has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240175062
    Abstract: The present invention relates to: recombinant microorganisms expressing lipoxygenase; and recombinant microorganisms co-expressing lipoxygenase and Chlorella-derived decarboxylase. It was confirmed that when using lipoxygenase-based recombinant microorganisms according to the present invention as whole-cell biocatalysts, hydroxy fatty acids can be produced from unsaturated fatty acids. In addition, it was confirmed that when using the recombinant microorganisms co-expressing lipoxygenase and Chlorella-derived decarboxylase as whole-cell biocatalysts, secondary fatty alcohols can be produced from unsaturated fatty acids. Thus, the recombinant microorganisms constructed in the present invention can be used in various ways in the field of hydroxy fatty acid and secondary fatty alcohol production.
    Type: Application
    Filed: March 10, 2022
    Publication date: May 30, 2024
    Inventors: Jin Byung Park, Jeong Hoo Lee, Hee Jeong Cha, Jeong Hye Yoon, Deok Kun OH
  • Patent number: 11932618
    Abstract: Disclosed are novel compounds of Chemical Formula 1, optical isomers of the compounds, and pharmaceutically acceptable salts of the compounds or the optical isomers. The compounds, isomers, and salts exhibit excellent activity as GLP-1 receptor agonists. In particular, they, as GLP-1 receptor agonists, exhibit excellent glucose tolerance, thus having a great potential to be used as therapeutic agents for metabolic diseases. Moreover, they exhibit excellent pharmacological safety for cardiovascular systems.
    Type: Grant
    Filed: March 13, 2023
    Date of Patent: March 19, 2024
    Assignee: ILDONG PHARMACEUTICAL CO., LTD.
    Inventors: Hong Chul Yoon, Kyung Mi An, Myong Jae Lee, Jin Hee Lee, Jeong-geun Kim, A-rang Im, Woo Jin Jeon, Jin Ah Jeong, Jaeho Heo, Changhee Hong, Kyeojin Kim, Jung-Eun Park, Te-ik Sohn, Changmok Oh, Da Hae Hong, Sung Wook Kwon, Jung Ho Kim, Jae Eui Shin, Yeongran Yoo, Min Whan Chang, Eun Hye Jang, In-gyu Je, Ji Hye Choi, Gunhee Kim, Yearin Jun
  • Patent number: 11779257
    Abstract: The present invention relates to an eye movement measurement method including the steps of: (a) presenting standardized nystagmus test items and receiving am image of an eye in accordance with the standardized nystagmus test items; (b) recognizing a pupil and an iris from the image of the eye; (c) calculating amounts of horizontal and vertical changes of the pupil and an amount of torsional movement of the iris; (d) determining change values and orientations for three axis directions of the eye on the basis of the amounts of the horizontal and vertical changes of the pupil and the amount of the torsional movement of the iris; and (e) generating a diagnosis result for vertigo through deep learning modeling on the basis of the change values and orientations of the three axis directions of the eye.
    Type: Grant
    Filed: April 26, 2018
    Date of Patent: October 10, 2023
    Assignee: HALLYM UNIVERSITY TECHNOLOGY HOLDINGS
    Inventors: Sung Kwang Hong, Eun Cheon Lim, Jeong Hye Park
  • Publication number: 20200345288
    Abstract: The present invention relates to an eye movement measurement method including the steps of: (a) presenting standardized nystagmus test items and receiving am image of an eye in accordance with the standardized nystagmus test items; (b) recognizing a pupil and an iris from the image of the eye; (c) calculating amounts of horizontal and vertical changes of the pupil and an amount of torsional movement of the iris; (d) determining change values and orientations for three axis directions of the eye on the basis of the amounts of the horizontal and vertical changes of the pupil and the amount of the torsional movement of the iris; and (e) generating a diagnosis result for vertigo through deep learning modeling on the basis of the change values and orientations of the three axis directions of the eye.
    Type: Application
    Filed: April 26, 2018
    Publication date: November 5, 2020
    Applicant: Industry Academic Cooperation Foundation, Hallym University
    Inventors: Sung Kwang Hong, Eun Cheon Lim, Jeong Hye Park
  • Patent number: D946238
    Type: Grant
    Filed: August 11, 2020
    Date of Patent: March 22, 2022
    Inventor: Jeong Hye Park