公开(公告)号：US20180100199A1

公开(公告)日：2018-04-12

申请号：US15726999

申请日：2017-10-06

Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hojung NAM ,  Soobok JOE

IPC: C12Q1/68 ,  G01N33/574

CPC classification number: C12Q1/6886 ,  C12Q2600/112 ,  C12Q2600/158 ,  G01N33/57415 ,  G01N2800/7028

Abstract: A method for determining prognosis of a breast cancer patient according to an embodiment includes: collecting information on cancer tissue in a patient group from patient information determined to have breast cancer, collecting gene expression information of each patient group, sorting genes by performing a test for a group having a high expression level and a group having a low expression level based on gene expression of each patient group, clustering genes based on expression patterns of the sorted genes, defining a prognostic score using a gene expression ratio for a gene, and deriving prognosis for breast cancer in a patient group by using the prognostic score.

公开(公告)号：US20240311657A1

公开(公告)日：2024-09-19

申请号：US18424776

申请日：2024-01-27

Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hojung NAM ,  Hansol LEE

IPC: G06N5/022 ,  G16B15/30 ,  G16B40/20

CPC classification number: G06N5/022 ,  G16B15/30 ,  G16B40/20

Abstract: Provided are an apparatus and method for determining antimicrobial peptide function using artificial intelligence. The artificial intelligence, which is a bidirectional encoder representation from transformer (BERT)-based model that is pre-trained through unsupervised learning using large amounts of protein sequences may be additionally trained (fine-tuned) using labeled antimicrobial peptide and non-antimicrobial peptide sequences to improve accuracy of determining the peptide function.

公开(公告)号：US20250022565A1

公开(公告)日：2025-01-16

申请号：US18713452

申请日：2022-03-29

Applicant: GWANGJU INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hojung NAM ,  Eunyoung KIM

IPC: G16H20/10 ,  G16B25/10 ,  G16B40/00 ,  G16H50/20

Abstract: An electronic device for predicting drug-drug interactions (DDI), according to an embodiment of the present invention, comprises a processor which identifies the gene expression information of a drug by using drug structures information and drug properties information, and identifies information on DDIs according to simultaneous administration of a first drug and a second drug by using the gene expression information and information on side effects according to drug combination.