Abstract: A method of detecting biomarkers using an artificial intelligence (AI) deep learning model for conversion data of nucleotide sequences and mutations of population genomes, the method including: collecting nucleotide sequences and mutations of population genomes; generating conversion data by reflecting mutations of diploid genomes in the collected nucleotide sequences; performing an artificial intelligence (AI) deep learning model with the generated conversion data; generating a fully connected network (FCN) by connecting the results obtained by the machine learning; and extracting biomarkers by the learned model.

Abstract: A method of detecting biomarkers using an artificial intelligence (AI) deep learning model for conversion data of nucleotide sequences and mutations of population genomes, the method including: collecting nucleotide sequences and mutations of population genomes; generating conversion data by reflecting mutations of diploid genomes in the collected nucleotide sequences; performing an artificial intelligence (AI) deep learning model with the generated conversion data; generating a fully connected network (FCN) by connecting the results obtained by the machine learning; and extracting biomarkers by the learned model.

Abstract: Disclosed herein is a system and method for processing delivery items. The system for processing delivery items may include: a delivery item transfer device which transfers a delivery item put into the system and measures at least one delivery item information selected from the group consisting of an image, a bar code, an address, a shape, a volume, and a weight of the delivery item; a control device which generates sorting information for each delivery zone and delivery route information, which are required to deliver the delivery items, and provides the generated sorting information for each delivery zone or delivery route information and the at least one delivery item information; and a robot device which loads the delivery item into a corresponding loading container by controlling a robot based on the generated sorting information for each delivery zone or delivery route information and the at least one delivery item information.

Abstract: A mileage point calculating system receives mail acceptance data including respective acceptance information of a plurality of mail groups and acceptance information of a combined mail group generated by combining the plurality of mail groups, determines a first combined fee generated by summing postage of the plurality of mail groups according to acceptance information of the plurality of mail groups, determines a second combined fee corresponding to postage of the combined mail group according to acceptance information of the combined mail group, and calculates a margin between the first combined fee and the second combined fee as mileage points