Abstract: A display device includes a display panel including a main area and a sensor area. Sensor devices overlap the sensor area of the display panel in a thickness direction of the display panel. The display panel includes first subpixels, which are disposed in the sensor area, and second subpixels, which are disposed in the main area. The number of transistors of each of the first subpixels is different from the number of transistors of each of the second subpixels.

Abstract: A display device includes: a display panel including a first region including a transmissive part configured to transmit light provided from the outside and a second region not including the transmissive part; and a sensor overlapping with the transmissive part, and configured to obtain electrical information based on information provided from the outside, wherein the display panel includes: a thin film transistor layer including a plurality of transistors; a pixel defining layer defining an emission region of a plurality of pixels; and a light blocking layer on the pixel defining layer, and defining the transmissive part, and wherein the pixel defining layer in the first region covers at least a portion of the thin film transistor layer such that light provided through the transmissive part is blocked.

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.