Abstract: Disclosed is a hierarchical diagnosis device of brain atrophy based on brain thickness information, including a brain structure modeling unit to generate a grey matter surface mesh and a white matter surface mesh by mesh modeling of multiple Magnetic Resonance Imaging (MRI) images; a brain thickness extraction unit to acquire brain thickness information by collecting and analyzing a distance between corresponding points of the grey matter surface mesh and the white matter surface mesh; a training data generation unit to generate and store multiple training data including the brain thickness information and diagnosis information when diagnosis model training is requested; a diagnosis model training unit to classify and analyze the brain thickness information into groups of a hierarchical structure according to the diagnosis information to acquire feature information for each group, and generate and train hierarchical classifiers based on the hierarchical structure of the groups and the feature information for

Abstract: The present invention relates to a target gene-detecting device and a method for detecting a target gene. According to an aspect, a target gene-detecting device can be conveniently fabricated at low cost by employing a porous substrate or a method for detecting a target gene allows the pretreatment of a sample, the extraction of a nucleic acid, the amplification of a nucleic acid, and the detection of a target gene to be conducted at high accuracy and specificity in an integral system, with no contamination plausibility and can be thus useful for gene inspection.

Abstract: The present application relates to a marker gene for detecting the proliferative ability of stem cells and uses thereof, and provides a marker detection composition for detecting the proliferative ability of stem cells, a kit for detecting the proliferative ability of stem cells, and a composition for improving the proliferative ability of stem cells, etc. According to the composition or method according to an aspect, stem cells having a high proliferative ability may be easily selected, and the proliferative ability of stern cells may be significantly improved.

Abstract: Provided are a method and a device capable of: generating a first alternating current magnetic field passing through a chamber having a cell disposed therein, by using a plurality of primary coils arranged on a first plane; receiving a second alternating current magnetic field by using a plurality of secondary coils arranged on a second plane; and measuring an impedance change of a cell by using the first alternating current magnetic field and the second alternating current magnetic field.

Abstract: The present invention relates to stem cell-derived microvesicles with enhanced efficacy, a use thereof, and a method for enhancing efficacy, and more particularly, to a use of stem cell-derived microvesicles with an enhanced expression level of microRNAs for the prevention or treatment of stroke, and a method for promoting the production of microRNAs of stem cell-derived microvesicles and enhancing efficacy, and a method for promoting the production of stem cell-derived microvesicles and microRNAs within the microvesicles and enhancing the efficacy of stem cells and microvesicles thereof by 3-dimensionally culturing or ischemically stimulating stem cells.

Abstract: The present invention relates to: a composition, a biomarker panel, and a kit for diagnosis or prognosis of glioma, all of which contain an agent for detecting variants in target genes; a method of providing information related to diagnosis or prognosis of glioma; a biomarker panel for personalized medicine for glioma; and a method of providing information for personalized treatment. When genetic or protein variants are detected in at least one target gene selected from the group consisting of SAMD11, KLHL21, FAM167B, HPCAL4, GPBP1L1, LPHN2, GPR88, ZNF599, C19ORF33, B9D2, BCAM, CABP5, SIGLEC11, ERVV-2, ZNF865, MZF1, MRTO4, LRIG2, BSND, and SLC30A2 according to an aspect, the diagnostic accuracy of glioma is high and sensitivity to diagnosis of glioma is also high, and thus, glioma may be effectively diagnosed.

Abstract: The present invention relates to a target gene-detecting device and a method for detecting a target gene. According to an aspect, a target gene-detecting device can be conveniently fabricated at low cost by employing a porous substrate or a method for detecting a target gene allows the pretreatment of a sample, the extraction of a nucleic acid, the amplification of a nucleic acid, and the detection of a target gene to be conducted at high accuracy and specificity in an integral system, with no contamination plausibility and can be thus useful for gene inspection.

Abstract: Disclosed is a VR (Virtual Reality) device for diagnosis of nerve disorder, system and method thereof, wherein the device comprises: a display part providing a user with a VR environment in response to an image; and a user response receiver receiving a user response relative to the image, and wherein the image includes an introduction video included with two or more characters, and a question video image provided subsequent to the introduction video to include an inquiry related to the characters, whereby a user's linguistic competence, visual ability and associative ability can be comprehensively evaluated, and more accurately grasp a degree of user's nerve disorder can be accurately grasped without being influenced by a user's academic background and age.

Abstract: A medical diagnostic method according to an embodiment includes receiving a plurality of slide images of a three-dimensional (3D) medical image obtained by capturing an object and clinical data for the object, extracting one or more slide images including a lesion among the plurality of slide images, extracting a region of interest (ROI) including the lesion from each of the extracted one or more slide images, generating latent space data including a feature of an image of the extracted ROI using a pre-trained deep learning-based ROI abstraction model, and generating a diagnostic result for the object from the latent space data and the clinical data using a pre-trained deep learning-based medical diagnostic model.

Abstract: The present disclosure relates to a system and method for segmenting a normal organ and/or tumor structure based on artificial intelligence for radiation treatment planning. The system may include a data collection unit configured to collect a radiotherapy structure (RT-structure) file including a computerized tomography (CT) image of a patient and contour information of an area of interest for radiation treatment, a pre-processing unit configured to extract the contour information from the RT-structure file and generate a binary image based on the extracted contour information, and a model training unit configured to learn parameters for generating a segmentation map indicative of the area of interest using a deep learning algorithm, based on the binary image, and generate a trained model based on the learnt parameter.

Abstract: Provided are a method for supplying power to an implantable medical device and a power supply system for an implantable medical device. The power supply system supplies a constant power to the implantable medical device even when there is a movement in a body, by using a wireless power transmitter unit, a wireless power receiver unit, and a piezoelectric sensor unit stacked at the wireless power receiver unit.

Abstract: Technology for a pillar structure for a biochip is disclosed. The pillar structure for a biochip includes: a substrate portion having a plate structure; an insertion pillar portion formed in one piece with the substrate portion and protruding downward from a lower surface of the substrate portion so as to be inserted into a well; and a compensation pillar portion formed in one piece with the substrate portion, the compensation pillar portion corresponding to the insertion pillar portion and protruding upward from an upper surface of the substrate portion. Therefore, when the pillar structure is cooled during an injection molding process, the substrate portion is prevented from being partially recessed, and when samples are analyzed using microscopic images, accuracy and reliability may be improved.

Abstract: Disclosed is a fine dust collecting device using a human body based electrostatic energy harvesting element. The fine dust collecting filter device includes an electrostatic energy harvesting element for collecting and generating current; a charging filter connected to the electrostatic energy harvesting element such that the charging filter is electrically charged to have a first polarity and thus electrically charges fine dust particles; a collecting filter connected to the electrostatic energy harvesting element such that the collecting filter is electrically charged to have a second polarity opposite to the first polarity; and a rectifier disposed between and connected to the electrostatic energy harvesting element, and the charging filter and the collecting filter.

Abstract: Disclosed herein a method of constructing a blood vessel map, the method including: receiving, by a blood vessel map construction apparatus, a TOF image of the object; extracting, by the blood vessel map construction apparatus, a blood vessel stem, a center line of a blood vessel, and features of the center line included in the TOF image, and detecting branch points of the blood vessel based on the extracted blood vessel stem, center line of the blood vessel, and features of the center line; searching, by the blood vessel map construction apparatus, a reference blood vessel image corresponding to the TOF image in consideration of location information or curvature information of the branch points; calculating a similarity between the TOF image and the reference blood vessel image; and registering the TOF image in the blood vessel map based on the similarity.

Abstract: The present invention relates to a novel pyrrolo-pyrimidine derivative compound, a preparation method therefor, and a pharmaceutical composition comprising the same compound as an effective ingredient for preventing or treating a protein kinase-related disease. The compound represented by Chemical Formula 1 according to the present invention, an optical isomer thereof, or a pharmaceutically acceptable salt thereof, and a pharmaceutical composition comprising the same as an effective ingredient has outstanding inhibitory activity against LRRK2 kinase and against phosphorylation in the NIH-3T3 cell line, which is an LRRK2-expressing cell line, and NCC01 and 448T cell lines, which are both derived from patients with brain tumors. Verified to have inhibitory activity against various protein kinases in addition to LRRK2, the compound can find effective applications in the treatment or prevention of protein kinase-related diseases.

Abstract: According to an embodiment of the present disclosure, there is provided a method of predicting a brain tissue lesion distribution, the method including: a model learning operation of learning a prediction model for predicting a brain tissue lesion distribution of a subject by using brain image data of a plurality of previous patients; an input obtaining operation of obtaining input data from brain image data of the subject; and an output operation of generating output image data including information on the lesion distribution after recanalization treatment for the subject, by using the prediction model. The prediction model includes a success prediction model that is learned by using data of patients in which recanalization treatment is successful among the plurality of previous patients, and a failure prediction model that is learned by using data of patients in which recanalization treatment fails among the plurality of previous patients.

Abstract: The present invention relates to a biomarker panel for determining a molecular subtype of cancer and a method of predicting prognosis of cancer using the panel. The biomarker panel identifies molecular subtypes of tumors by selecting and analyzing only information on tumor cells from single-cell transcriptome data derived from patients with early lung cancer, thereby allowing prediction of the prognosis of lung cancer and prediction of the response to anti-cancer agents. Therefore, the biomarker panel may be used for selecting a treatment regimen.

Abstract: An eye disease diagnosis method using artificial intelligence may include: collecting, from a database, a first eyeground image of a myopic patient who is not diagnosed with an eye disease and a second eyeground image of a myopic patient who has been diagnosed with the eye disease; learning eyeball change information by degree of myopia based on the first eyeground image, using deep learning; comparing and analyzing the first eyeground image and the second eyeground image based on the eyeball change information by the degree of myopia, and learning eyeball change information by the eye disease using deep learning; and estimating determination criteria of an eyeground image for diagnosis of the eye disease, based on a difference between the eyeball change information by the degree of myopia and the eyeball change information by the eye disease.

Abstract: An embodiment of the present disclosure provides an adjustable couch that can be mounted on a medical couch, the adjustable couch comprising: a first couch provided with a fixing means to be fixed to the medical couch; and a second couch disposed on the first couch and provided with a rotating-coupling means to be coupled rotatably about a first axis perpendicular to an upper surface of the first couch.

Abstract: The present disclosure provides an apparatus for intracranial drug injection including a body unit having a through-hole extending between a first opening in a topmost surface and a second opening in a bottommost surface, a cap unit having a shape corresponding to at least a part of an inner surface of the through-hole and being inserted into the first opening to cover the first opening, and a tube unit having one end coupled to the second opening and another end extending toward an affected brain lesion.