Abstract: A light emitting diode pixel for a display including a first LED sub-unit, a second LED sub-unit disposed on a portion of the first LED sub-unit, a third LED sub-unit disposed on a portion of the second LED sub-unit, and a reflective electrode disposed adjacent to the first LED sub-unit, in which each of the first to third LED sub-units comprises an n-type semiconductor layer and a p-type semiconductor layer, each of the n-type semiconductor layers of the first, second, and third LED stacks is electrically connected to the reflective electrode, and the first LED sub-unit, the second LED sub-unit, and the third LED sub-unit are configured to be independently driven.

Abstract: This method of predicting the T cell activation of peptide-MHC comprises the steps in which an analysis apparatus: receives genetic data of a patient; identifies, on the basis of the genetic data, a first amino acid sequence of a major histocompatibility complex (MHC) and a second amino acid sequence of antigen generated by tumor cells; produces a matrix indicating the interrelationship between the first amino acid sequence and the second amino acid sequence in a single amino acid unit; and inputs the matrix to a trained neural network model to determine whether the T cells secrete at least a threshold amount of cytokine as a result of the binding of the MHC and the antigen.

Abstract: Provided are a method and system for screening neoantigen and uses of neoantigens. Specifically, provided are a method and system for screening neoantigens derived from a gene of which expression is essential for survival of a cancer cell and/or a is homogeneously expressed in all cells in cancer tissue as a diagnostic and/or therapeutic target, and uses of neoantigens.

Abstract: A machine learning model-based essential gene identification method includes receiving, by an analysis apparatus, inputs of expression pattern information on genes of a specific cell; inputting, by the analysis apparatus, the expression pattern information to a machine learning model; and determining, by the analysis apparatus, whether a target gene from among the genes is essential in the survival of the cell on the basis of information output by the machine learning model.

Abstract: Disclosed is a filter assembly capable of adjusting elimination of solid materials using a flow-variable bypass flow path. The filter assembly includes a filter portion (100) which includes a cover portion (110) formed on top to have a shape in which a bypass flow pipe (112) and a water discharge pipe (113) sequentially surrounds a perimeter of a vertically protruding original water inflow pipe (111) in a stepped structure and accommodates a filter body therein and a filter cartridge header (200) in which the cover portion (110) of the filter portion (100) is accommodated therebelow and which includes a bypass flow rate control unit (300) capable of adjusting an inflow amount of original water flowing into the bypass flow pipe (112).

Abstract: Disclosed is a filter assembly capable of adjusting elimination of solid materials using a flow-variable bypass flow path. The filter assembly includes a filter portion (100) which includes a cover portion (110) formed on top to have a shape in which a bypass flow pipe (112) and a water discharge pipe (113) sequentially surrounds a perimeter of a vertically protruding original water inflow pipe (111) in a stepped structure and accommodates a filter body therein and a filter cartridge header (200) in which the cover portion (110) of the filter portion (100) is accommodated therebelow and which includes a bypass flow rate control unit (300) capable of adjusting an inflow amount of original water flowing into the bypass flow pipe (112).

Abstract: Disclosed is a method for providing information for predicting a response to cancer treatment, the method including: obtaining information on a global DNA methylation level detected from a sample of a cancer patient; and evaluating a response to cancer treatment based on the information on the global DNA methylation level.

Abstract: A DNA chip for diagnosis of genitourinary infection, and in particular, a DNA chip for diagnosis of genitourinary infection on which oligonucleotide probes for detecting fourteen genitourinary infection pathogens are immobilized is provided. The DNA chip for diagnosis of genitourinary infections may accurately and rapidly analyze infections of fourteen genitourinary infections including multiple infections in various samples with high sensitivity, high specificity, and high reproducibility. Accordingly, the DNA chip may be used for diagnosis and treatment of genitourinary infections in primary health care institutions.

Abstract: A DNA chip for diagnosis of genitourinary infection, and in particular, a DNA chip for diagnosis of genitourinary infection on which oligonucleotide probes for detecting fourteen genitourinary infection pathogens are immobilized is provided. The DNA chip for diagnosis of genitourinary infections may accurately and rapidly analyze infections of fourteen genitourinary infections including multiple infections in various samples with high sensitivity, high specificity, and high reproducibility. Accordingly, the DNA chip may be used for diagnosis and treatment of genitourinary infections in primary health care institutions.

Abstract: Provided are a microorganism for use in quantification of homocysteine and methionine and a method of quantifying homocysteine and methionine in a sample by using the microorganism.

Abstract: Provided are a microorganism for use in quantification of homocysteine and methionine and a method of quantifying homocysteine and methionine in a sample by using the microorganism.