Abstract: The present disclosure may include: a communication module configured to perform communication with an ultrasonic irradiation device, an ultrasonic imaging device, and a display device; and a processor configured to control an operation in relation to ultrasonic image processing, and the processor is configured to: receive an ultrasonic image from the ultrasonic imaging device through the communication module; extract an irradiation area image for a region of interest (ROI) in the ultrasonic image of the ultrasonic imaging device associated with an ultrasonic irradiation signal of the ultrasonic irradiation device; correct the irradiation area image based on a variation of the ultrasonic irradiation signal in the irradiation area image in a state of focused ultrasound of the ultrasonic irradiation device; and control the display device to display the corrected irradiation area image on the display device.

Abstract: A method for preparing a recycled polymer is provided. The method includes: bringing a recovered polymer containing an additive into contact with an impregnation solvent in an impregnation tank to obtain a slurry containing a swollen polymer and an eluate; separating the slurry into a solid mixture containing the swollen polymer and a liquid mixture containing the eluate in a solid-liquid separator; and obtaining a recycled polymer from the solid mixture and recovering the additive from the liquid mixture, wherein the impregnation solvent is a mixed solvent of two or more solvents.

Abstract: The present invention relates to a pharmaceutical composition for prevention or treatment of an allergic disease comprising a mixed extract of two or more selected from the group consisting of Asiasarum root, Platycodon root, and Cinnamomi ramulus as an active ingredient; a method for prevention or treatment of an allergic disease using the pharmaceutical composition; and a health functional food and a feed composition for improvement of an allergic disease. The composition and method of the invention can specifically inhibit the differentiation of Th2 cells and thus can be effectively used as a composition for prevention or treatment of an allergic disease.

Abstract: The present invention relates to a method for differentiating mesenchymal stem cells into osteoblasts, a cell therapeutic agent for treating bone disease including osteoblasts differentiated by the method and a method for producing the same. In addition, the present invention relates to a method for treating bone disease, including the step of administering the osteoblasts obtained by the method to a patient with bone disease. The differentiation method according to the present invention can stably and rapidly differentiate mesenchymal stem cells into osteoblasts. The differentiated osteoblasts have excellent blood vessel-forming ability and excellent bone-forming ability. Accordingly, the method for differentiating stem cells into osteoblasts and the osteoblasts obtained by the method, according to the present invention, can be effectively used as a cell therapeutic agent or treatment method related to bone disease.

Abstract: Disclosed are an optimization method and system for a personalized contrast test based on deep learning, in which a contrast medium optimized for each individual patient is injected to implement optimum pharmacokinetic characteristics in a process of acquiring a medical image, the method including: obtaining drug information of a contrast medium and body information of a patient, in a contrast enhanced computed tomography (CT) scan; generating injection information of the drug to be injected into the patient by a predefined algorithm based on the drug information and the body information; injecting the drug into the patient based on the injection information, and acquiring a medical image by scanning the patient; and amplifying a contrast component in the medical image by inputting the medical image to a deep learning model trained in advance.

Abstract: Disclosed are a motion compensation processing apparatus and method of medical images, in which motion of organs is corrected, the method including: acquiring the medical image and combining an organ motion component into the medical image; training at least one deep learning model based on the medical image combined with the organ motion component so that the deep learning model can remove the organ motion component; and acquiring a processing medical image, selecting a deep learning model corresponding to an organ included in the processing medical image, and removing a motion component for the organ.

Abstract: The present invention relates to a cell cryopreservation device, and can comprise: a first housing for accommodating a plurality of test tubes; a second housing for covering the first housing; center support ribs extended upward from the inner bottom surface of the first housing to come in contact with and support the side surfaces of the surrounding test tubes; and side support ribs extended from the inner wall surface of the first housing toward the inner side of the first housing to come in contact with and support the side surfaces of the test tubes.

Abstract: Disclosed are an apparatus and method for medical image processing according to pathologic lesion properties, the method including: recognizing a readout area different from an original readout area in a medical image by applying a previously trained deep learning model to the medical image, extracting properties, which include at least one of a location and a size of the readout area, from the medical image, and generating a readout image for the readout area, which is different from the original readout area corresponding to a purpose of taking the medical image, by reconstructing the medical image, thereby having an effect on generating a readout image for a different kind of pathologic lesion from a previously acquired medical image.

Abstract: The present invention relates to a composition for preserving cells and a method for preserving cells and, more specifically, to: a composition for preserving cells, containing, as active ingredients, plant-derived recombinant human serum albumin and plant peptides, wherein the composition maintains a high cellular survival rate while maintaining animal-free and xeno-free properties and is stable without changes in cellular morphology or surface expression factors in the short-term preservation of cells such as stem cells or primary cultured cells; and a method for preserving cells by using the same.

Abstract: Provided is a deep learning based contrast-enhanced (CE) CT image contrast amplifying method and the deep learning based CE CT image contrast amplifying method includes extracting at least one component CT image between a CE component and a non-CE component for an input CE CT image with the input CE CT image as an input to a previously trained deep learning model; and outputting a contrast-amplified CT image with respect to the CE CT image based on the input CE CT image and the at least one extracted component CT image.

Abstract: Provided is a deep learning based accelerated MRI image quality restoring method. The deep learning based accelerated MRI image quality restoring method includes extracting test information from an input accelerated MRI image, selecting at least one deep learning model corresponding to the test information, among a plurality of previously trained deep learning models, and outputting an MRI image with a restored image quality for the input accelerated MRI image with the input accelerated MRI image as an input of at least one selected deep learning model.

Abstract: The present invention relates to a medium for inducing differentiation of dedifferentiated stem cells into mesenchymal stem cells, a method for preparing mesenchymal stem cells from dedifferentiated stem cells by using the same, and mesenchymal stem cells prepared by using the same. The mesenchymal stem cells prepared using the above medium and method can be differentiated into various target cells, and thus can be useful as a cell therapeutic agent for congenital and acquired musculoskeletal diseases and injuries.

Abstract: Provided is a method for CT image denoising based on deep learning, and the method for CT image denoising based on deep learning includes: extracting examination information from an input CT image; selecting at least one deep learning model corresponding to the examination information from multiple previously trained deep learning models; and outputting a CT image denoised from the input CT image by feeding the input CT image into the selected at least one deep learning model.

Abstract: A three-dimensional cell culture method on the basis of a biodegradable synthetic hydrogel is provided. The method may include culturing cells in a cell culture dish in a non-contact manner using a porous membrane and a biodegradable synthetic hydrogel in the culture of stem cells and primary cells.

Abstract: The present invention relates to a method for inducing osteogenic differentiation of mesenchymal stem cells and, more particularly, to a short-time osteogenic differentiation method of culturing cells using a porous membrane and a biodegradable synthetic biogel, whereby the cells do not contact a cell culture container. The present invention can significantly shorten the induction period of osteogenic differentiation, compared to the conventional osteogenic differentiation method, and has an effect of the cells being easily separable after differentiation as well.

Abstract: A thin film deposition apparatus that can be simply applied to produce large-sized display devices on a mass scale and that improves manufacturing yield. The thin film deposition apparatus includes a deposition source that discharges a deposition material; a deposition source nozzle unit disposed at a side of the deposition source and including a plurality of deposition source nozzles arranged in a first direction; and a patterning slit sheet disposed opposite to the deposition source nozzle unit and including a plurality of patterning slits arranged in a second direction that is perpendicular to the first direction. A deposition is performed while the substrate or the thin film deposition apparatus moves relative to each other in the first direction, and the deposition source, the deposition source nozzle unit, and the patterning slit sheet are formed integrally with each other.

Abstract: Provided is a method for CT image denoising based on deep learning, and the method for CT image denoising based on deep learning includes: extracting examination information from an input CT image; selecting at least one deep learning model corresponding to the examination information from multiple previously trained deep learning models; and outputting a CT image denoised from the input CT image by feeding the input CT image into the selected at least one deep learning model.

Abstract: A thin film deposition apparatus that can be simply applied to produce large-sized display devices on a mass scale and that improves manufacturing yield. The thin film deposition apparatus includes a deposition source that discharges a deposition material; a deposition source nozzle unit disposed at a side of the deposition source and including a plurality of deposition source nozzles arranged in a first direction; and a patterning slit sheet disposed opposite to the deposition source nozzle unit and including a plurality of patterning slits arranged in a second direction that is perpendicular to the first direction. A deposition is performed while the substrate or the thin film deposition apparatus moves relative to each other in the first direction, and the deposition source, the deposition source nozzle unit, and the patterning slit sheet are formed integrally with each other.

Abstract: A thin film deposition apparatus that can be simply applied to produce large-sized display devices on a mass scale and that improves manufacturing yield. The thin film deposition apparatus includes a deposition source that discharges a deposition material; a deposition source nozzle unit disposed at a side of the deposition source and including a plurality of deposition source nozzles arranged in a first direction; and a patterning slit sheet disposed opposite to the deposition source nozzle unit and including a plurality of patterning slits arranged in a second direction that is perpendicular to the first direction. A deposition is performed while the substrate or the thin film deposition apparatus moves relative to each other in the first direction, and the deposition source, the deposition source nozzle unit, and the patterning slit sheet are formed integrally with each other.

Abstract: The present invention relates to a composition including plant-derived recombinant human serum albumin, lipids, and plant protein hydrolysates as active ingredients for cryopreservation of stem cells or primary cells, and use thereof, more particularly, to a composition including plant-derived recombinant human serum albumin, lipids, and plant protein hydrolysates as active ingredients for cryopreservation of stem cells or primary cells, in which the albumin, lipids, and plant protein hydrolysates are present in sufficient quantities to reduce cell death caused by freezing while maintaining animal-free and xeno-free conditions during long-term preservation of stem cells or primary cells; and to a method for cryopreservation of stem cells or primary cells using the composition.