Abstract: A semiconductor manufacturing equipment may include a process chamber for treating a substrate; a front-end module including a first transfer robot, wherein the first transfer robot may be configured to transport the substrate received in a container; a transfer chamber between the front-end module and the process chamber, wherein the transfer chamber may be configured to load or unload the substrate into or out of the process chamber; and a cassette capable of receiving a replaceable component capable of being used in the process chamber. The front-end module may include a seat plate configured to move in a sliding manner so as to retract or extend into or from the front-end module. The cassette may be configured to be loaded into the front-end module while the cassette is seated on the seat plate.

Abstract: A deep learning-based stent prediction method including: setting as a region of interest, a region in which a procedure is to be performed among blood vessel regions of a target patient, and obtaining a first intravascular ultrasound (IVUS) image, which is a preprocedural IVUS image of the region of interest, obtaining a plurality of first IVUS cross-sectional images into which the first IVUS image is divided at predetermined intervals, extracting feature information about procedure information of the target patient, obtaining mask image information in which a blood vessel boundary and an inner wall boundary are distinguished from each other, with respect to the plurality of first IVUS cross-sectional images, and predicting progress of a stent procedure containing a postprocedural area of a stent for the target patient, by inputting, into an artificial intelligence model, the plurality of first IVUS cross-sectional images, the feature information, and the mask image information.

Abstract: A method of analyzing a plaque tissue component based on deep learning, the method including: extracting a plurality of first intravascular ultrasound (IVUS) cross-sectional images into which a first IVUS image that is a preprocedural IVUS image of a patient is divided at predetermined intervals; labeling each of the plurality of first IVUS cross-sectional images by using label indices corresponding to plaque tissue components to form labeled images, performing image conversion to obtain a polar coordinate image through which a distribution of tissue components for each angle is identifiable by performing a coordinate transformation based on the labeled images, extracting a label vector for each angle based on the polar coordinate image, and outputting output data obtained by quantifying the tissue components for each angle by using an artificial intelligence model that is trained by using, as training data, the label vector for each angle.

Abstract: Disclosed are a composition for surface modification of a medical implant and a medical implant surface-modified thereby, and according to a medical implant according to one embodiment, itaconic acid may be bound to the surface of the medical implant with high binding stability, and fibrosis inhibition and inflammatory response inhibition effects at an implantation site are exhibited.

Abstract: An optical prism sheet includes an optical refracting part including a plurality of unit prisms, the unit prisms each having a predetermined cross-section and being disposed on one side of the optical prism sheet, and fine irregularities having a predetermined roughness and configured to diffuse light, the fine irregularities being on surfaces of the unit prisms and increasing a unit surface area of the optical refracting part by about 1.1 to about 100 times.

Abstract: An optical prism sheet includes an optical refracting part including a plurality of unit prisms, the unit prisms each having a predetermined cross-section and being disposed on one side of the optical prism sheet, and fine irregularities having a predetermined roughness and configured to diffuse light, the fine irregularities being on surfaces of the unit prisms and increasing a unit surface area of the optical refracting part by about 1.1 to about 100 times.