Title:
METHOD FOR PROGNOSIS OF BREAST CANCER BY USING MITOCHONDRIA RIBOSOMAL GENE SET DERIVED BY ARTIFICIAL INTELLIGENCE
Document Type and Number:
WIPO Patent Application WO/2022/124718
Kind Code:
A1
Abstract:
The present invention relates to markers, derived using AI, for the prognosis of breast cancer. According to the present invention, biomarkers relevant to the prognosis of breast cancer were derived through AI which has been constructed using machine learning through training and verification, and their cutoff values for prognosis have been derived. Thus, the markers can be used for the prognosis of breast cancer.
Inventors:
KIM YI-RANG (KR)
LEE YOUNG HEUN (KR)
SIM WOO GWANG (KR)
GU CHANG DAI (KR)
JO JUN HEE (KR)
LEE YOUNG HEUN (KR)
SIM WOO GWANG (KR)
GU CHANG DAI (KR)
JO JUN HEE (KR)
Application Number:
PCT/KR2021/018307
Publication Date:
June 16, 2022
Filing Date:
December 06, 2021
Export Citation:
Assignee:
ONCOCROSS CO LTD (KR)
International Classes:
C12Q1/6886; G16B40/20
Domestic Patent References:
| WO2010017515A2 | 2010-02-11 | |||
| WO2019093814A2 | 2019-05-16 |
Foreign References:
| KR102164052B1 | 2020-10-12 | |||
| KR102271313B1 | 2021-06-30 |
Other References:
KOC EMINE C., CIMEN HUSEYIN, KUMCUOGLU BERIL, ABU NADIAH, AKPINAR GURLER, HAQUE MD. EMDADUL, SPREMULLI LINDA L., KOC HASAN: "Identification and characterization of CHCHD1, AURKAIP1, and CRIF1 as new members of the mammalian mitochondrial ribosome", FRONTIERS IN PHYSIOLOGY, vol. 4, 1 July 2013 (2013-07-01), pages 1 - 15, XP055940737, DOI: 10.3389/fphys.2013.00183
Attorney, Agent or Firm:
WIE, Byoung-Gap (KR)
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