公开(公告)号：EP4350708A1

公开(公告)日：2024-04-10

申请号：EP22811704.0

申请日：2022-05-30

申请人： GC Genome Corporation

发明人： CHO, Eun Hae ,  LEE, Tae-Rim ,  PARK, Sook Ryun

IPC分类号： G16H50/20 ,  G16H50/50 ,  G16B30/10 ,  G16B40/20 ,  G16H30/40 ,  G06N3/08 ,  G06N3/04

摘要： Disclosed is a method for diagnosing cancer and predicting a cancer type using fragment end motif frequencies and sizes of cell-free nucleic acid, and more preferably, to a method for diagnosing cancer and predicting a cancer type by extracting nucleic acids from a biological sample to obtain sequence information, acquiring fragment end motif frequencies and sizes of nucleic acids based on the aligned reads, converting the fragment end motif frequencies and sizes of nucleic acids into vectorized data, inputting the vectorized data to a trained artificial intelligence model and analyzing a resulting calculated value. The method includes generating vectorized data and analyzing the same using an AI algorithm and thus is useful due to high sensitivity and accuracy thereof even in the case of low read coverage.

公开(公告)号：EP4447069A1

公开(公告)日：2024-10-16

申请号：EP22904598.4

申请日：2022-12-05

申请人： GC Genome Corporation

发明人： CHO, Eun-Hae ,  AHN, Jin Mo ,  LEE, Junnam ,  LEE, Tae-Rim ,  SOHN, Joohyuk ,  KIM, Gun Min ,  KIM, Min Hwan

IPC分类号： G16H50/50 ,  G16H20/40 ,  G16H50/20 ,  G16B30/10 ,  G16B50/00 ,  G16H30/40 ,  C12Q1/6886 ,  G01N33/483 ,  G06T7/00 ,  G06F17/18

摘要： The present invention relates to a blood cell-free DNA-based method for predicting prognosis of breast cancer treatment and, more particularly, to a cell-free DNA-based method for predicting prognosis of breast cancer treatment, the method comprising a step of extracting cell-free DNA (cfDNA) from a biological sample before anticancer treatment, acquiring sequence information, then obtaining an I-score by using normalization correction and regression analysis of chromosomal regions, and analyzing the I-score and image information of the breast together after the anticancer treatment. A method for predicting prognosis of breast cancer, according to the present invention, uses next generation sequencing (NGS) so as to increase the accuracy of predicting the prognosis of a breast cancer patient and also increase the accuracy of prognosis prediction based on a very low concentration cell-free DNA of which detection has been difficult, thereby increasing the commercial utilization thereof. Therefore, the method of the present invention is useful in determining the prognosis of a breast cancer patient.

公开(公告)号：EP4428864A1

公开(公告)日：2024-09-11

申请号：EP22890317.5

申请日：2022-11-01

申请人： GC Genome Corporation

发明人： CHO, EunHae ,  LEE, Tae-Rim

IPC分类号： G16B35/00 ,  G16B30/10 ,  G16B5/00 ,  G16B40/20 ,  C12Q1/6886 ,  C12Q1/6806

CPC分类号： C12Q1/6806 ,  C12Q1/6886 ,  G16B5/00 ,  G16B30/10 ,  G16B35/00 ,  G16B40/20

摘要： The present invention relates to a method for diagnosing cancer and predicting cancer type by using the terminal sequence frequency and the size of a cell-free nucleic acid fragment, and, more specifically, to a method for diagnosing cancer and predicting cancer type by using a method for extracting nucleic acids from a biospecimen so as to derive the terminal sequence frequency of a nucleic acid fragment and the size of the nucleic acid fragment on the basis of a read obtained by acquiring and aligning sequence information, generating vectorized data from same, and then inputting the data into a trained artificial intelligence model so as to analyze a calculated value. The method for diagnosing cancer and predicting cancer type by using the terminal sequence frequency and the size of a cell-free nucleic acid fragment, according to the present invention, generates vectorized data and analyzes same by using an Al algorithm, thereby exhibiting high sensitivity and accuracy even if read coverage is low, and thus is useful.

公开(公告)号：EP4068291A1

公开(公告)日：2022-10-05

申请号：EP20894598.0

申请日：2020-11-27

申请人： GC Genome Corporation

发明人： KI, Chang-Seok ,  CHO, Eun Hae ,  LEE, Junnam ,  LEE, Tae-Rim ,  AHN, Jin Mo

IPC分类号： G16B20/20 ,  G16B20/30 ,  G16B30/10 ,  G16B10/00 ,  G16B40/20 ,  G06N3/08

摘要： The present invention relates to an artificial intelligence-based chromosomal abnormality detection method, and more specifically, to an artificial intelligence-based chromosomal abnormality detection method using a method that involves: extracting nucleic acids from a biological sample to generate vectorized data on the basis of DNA fragments arranged by acquiring sequence information; and then comparing a reference value and a value calculated by inputting the vectorized data into a trained artificial intelligence model. Rather than using each of values related to reads as an individual normalized value as in existing schemes, which use a step for determining the amount of a chromosome on the basis of a read count, or existing detection methods using the distance concept between arranged reads, the artificial intelligence-based chromosomal abnormality detection method according to the present invention generates vectorized data and analyzes the data using an AI algorithm, and thus is useful in that a similar effect can be exhibited even when read coverage is low.