Abstract: 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.

Abstract: An artificial-intelligence-based cancer diagnosis and cancer type prediction method is described, which extracts nucleic acids from a biological sample to acquire sequence information, generates vectorized data on the basis of aligned nucleic acid fragments, and then inputs same into a trained artificial intelligence model to analyze a calculated value. Compared with a conventional method, which uses a step of determining the number of chromosomes on the basis of a read count and utilizes each related value as a normalized value, the artificial-intelligence-based cancer diagnosis and cancer type prediction method according to the present disclosure generates vectorized data to perform an analysis using an AI algorithm, and thus is useful in that similar effects can be exhibited even when read coverage is low.

Abstract: The present invention relates to an artificial-intelligence-based cancer diagnosis and cancer type prediction method, and, more particularly, to an artificial-intelligence-based cancer diagnosis and cancer type prediction method, which extracts nucleic acids from a biological sample to acquire sequence information, and thus generate vectorized data on the basis of aligned nucleic acid fragments, and then inputs same into a trained artificial intelligence model to analyze a calculated value. Compared with a conventional method, which uses a step of determining the number of chromosomes on the basis of a read count and utilizes each related value as a normalized value, the artificial-intelligence-based cancer diagnosis and cancer type prediction method according to the present invention generates vectorized data to perform an analysis using an AI algorithm, and thus is useful in that similar effects can be exhibited even when read coverage is low.

Abstract: The present invention relates to an artificial-intelligence-based cancer diagnosis and cancer type prediction method, and, more particularly, to an artificial-intelligence-based cancer diagnosis and cancer type prediction method, which extracts nucleic acids from a biological sample to acquire sequence information, and thus generate vectorized data on the basis of aligned nucleic acid fragments, and then inputs same into a trained artificial intelligence model to analyze a calculated value. Compared with a conventional method, which uses a step of determining the number of chromosomes on the basis of a read count and utilizes each related value as a normalized value, the artificial-intelligence-based cancer diagnosis and cancer type prediction method according to the present invention generates vectorized data to perform an analysis using an AI algorithm, and thus is useful in that similar effects can be exhibited even when read coverage is low.

Abstract: A cooling rack comprises a server case with a receiving space, an inlet, and an outlet, a plurality of servers being received in the server case, a first blower unit provided adjacent to the inlet in the receiving space, a second blower unit provided adjacent to the outlet in the receiving space, and cooling units provided in the receiving space.

Abstract: A cooling rack comprises a server case with a receiving space, an inlet, and an outlet, a plurality of servers being received in the server case, a first blower unit provided adjacent to the inlet in the receiving space, a second blower unit provided adjacent to the outlet in the receiving space, and cooling units provided in the receiving space.