Abstract: An esophageal stethoscope is disclosed. The esophageal stethoscope includes a cuff, a tube, one end of which is disposed in the interior of the cuff, and extending to a side that is opposite to the one end thereof, a mount member mounted on an opposite end of the tube, and a microphone disposed in the interior of the mount member, the tube includes at least one hole configured to allow sound waves that passes through the cuff to be provided into the tube, and the microphone absorbs cardiac sound and converts the cardiac sound to a cardiac sound electric signal, and is electrically connected to an external device to deliver the cardiac sound electric signal to the external device.

Abstract: A motion artifact detecting method using wavelet transform which is capable of removing the problem caused by a radio noise and a motion artifact generated during the measurement of a PPG signal which is one of bio-signals, the method including: measuring a PPG signal; generating a signal obtained by removing a radio noise from the measured PPG signal; setting a reference signal from the signal from which the radio noise is removed; selecting a base signal based on the set reference signal; performing wavelet transform using the base signal; and detecting and removing a motion artifact using the wavelet-transformed value.

Abstract: The present disclosure relates to a system and a method for estimating an acute cerebral infarction onset time. The method according to the present disclosure includes at least: receiving a first image and a second image of a first patient whose acute cerebral infarction onset time is not identified; extracting an infarction area image from the second image; aligning the second image with the first image; defining an infarction area in the first image, based on a result of the alignment of the second image with the first image; extracting feature information of the first patient, from the infarction area in the first image; comparing the extracted feature information with reference data; and calculating an amount of time that has elapsed since the acute cerebral infarction onset time, based on a result of the comparison of the extracted feature information with reference data.

Abstract: The present invention relates to a Pde6b-deficient animal model of retinal degeneration produced by engineered endonucleases, and a method for producing the same. In the animal model of retinal degeneration according to the present invention, only a specific target gene can be removed using engineered endonucleases, so that mutagenesis can be stably achieved. In addition, it is possible to produce a congenital animal model through genetic manipulation at the embryonic stage rather than through acquired factors, which allows for production of an animal model that uniformly exhibits symptoms of the disease in question without being influenced by other factors.

Abstract: An information acquisition method using heart and lung sounds is provided. The information acquisition method includes acquiring, by a computer, heart sound measurement data of a specific patient in real time, acquiring, by the computer, at least one processed heart sound measurement data using the heart sound measurement data in real time, extracting, by the computer, a scale factor between the processed heart sound measurement data and a cardiovascular data value, and calculating and providing, by the computer, a calculated value of specific cardiovascular information data based on the processed heart sound measurement data and the scale factor, wherein the cardiovascular information data has the same variation tendency as a variation tendency of specific processed heart sound measurement data.

Abstract: The present invention relates to a method for culturing a 3-dimensional lung cancer organoid and a method for preparing a patient-derived xenograft animal model using the same. More specifically, the present invention relates to a method for culturing a 3-dimensional lung cancer organoid, a lung cancer organoid prepared by the method, a medium composition for culturing the lung cancer organoid, a method for preparing a xenograft animal model using the lung cancer organoid, a patient-derived lung cancer organoid xenograft animal model prepared by the method, and a method for analyzing therapeutic efficacy of an anticancer agent and a method for screening an anticancer agent, using the animal model.

Abstract: The present invention provides a method for detecting mycoplasma, which can directly confirm whether a cell is infected with mycoplasma, by simultaneously amplifying DNA extracted from lysing a host cell infected with mycoplasma, and mitochondrial DNA in the cytoplasm of the host cell. According to the method of the present invention, by directly using the DNA inside the host cell, the DNA of mycoplasma bound around the nucleus of the host cell can be used as an amplification target, thereby increasing detection sensitivity. In addition, since the mitochondrial DNA inside the host cell is used as an amplification target of an internal control sample, whether the sample has been sampled in an appropriate amount can be confirmed in a convenient manner, and furthermore, by comparing the band size between the internal control sample and the mycoplasma DNA, the degree of mycoplasma infection can be quantitatively confirmed.

Abstract: A word semantic embedding apparatus includes: a data storing unit to store a lexical semantic network including word dictionary data and word semantic data; a word list generating unit to extract vocabularies having a predetermined part of speech from the stored word dictionary data and generate a list of words to be learned; a processing data generating unit to bring the generated list of words to be learned and the word semantic data of a word to be learned included in the list of words to be learned from the data storing unit and process the data suitable for word embedding learning to generate processing data; and a word embedding learning unit to learn the word to be learned through the word embedding learning using a learning model formed of an input/output layer and a projection layer with the generated processing data to generate a word vector.

Abstract: The present invention relates to a method, a device, and a program for calculating a brachytherapy plan, and a brachytherapy apparatus. The method comprises: a step in which a computer obtains the number of radiation irradiation spots on the basis of radiation irradiation information (a radiation irradiation spot number obtaining step (S200)); a step in which the computer obtains target area information from a body model of a patient generated on the basis of medical image data of the patient (a target area information obtaining step (S400)); and a therapy plan calculating step (S600) in which the computer calculates, on the basis of the radiation irradiation information and the target area information, the radiation irradiation spots to which radiation is irradiated and the time length of irradiation to each radiation irradiation spot.

Abstract: A positioning system according to an embodiment of the above description includes a transmitter including a first transmitting unit and a second transmitting unit for transmitting a first signal and a second signal having different velocities, respectively; and a receiver including: a first receiving unit and a second receiving unit for measuring each time of reception of the first signal and the second signal; and a position determining unit for measuring a location of the transmitter using a difference in reception time of the first signal and the second signal.

Abstract: Provided is a medical self-expandable stent which includes a stent body that is self-stretched or expanded by heat and emits the heat, a stretchable light emitting diode (LED) that is stacked to be longitudinally spread on the stent body and emits the heat by converting electric energy into optical energy, and a thin-film formation part that includes a thin film to fix the stretchable LED to the stent body, and is self-expanded by the heat.

Abstract: A method of reducing an artifact by using structural similarity. The method includes at least: obtaining a plurality of input Computed Tomography (CT) images including a first CT image and a second CT image, generating an artifact map in which anatomical information is removed and artifacts information is remained, by subtracting the second. CT image from the first CT image, generating, by the computer, a structural similarity map between each CT image and the artifact map, and generating, by the computer, a final reconstructed image by comparing particular parts on images of a plurality of structural similarity maps with each other and selecting data of an input CT image which has been used to generate a particular part of a structural similarity map having a lowest degree of structural similarity, as data of a particular part on the final reconstructed image.

Abstract: A method for monitoring a fetal heart rate may include the steps of: acquiring fetal heart rate monitoring data; determining a fetal heart rate value by dividing the acquired fetal heart rate monitoring data by a predetermined time interval; and determining a fetal state by applying, to the determined fetal heartbeat value, a learned artificial intelligence algorithm using a learning database including the fetal heartbeat monitoring data pre-acquired in association with a plurality of fetuses.

Abstract: Disclosed are an oral fixation device for radiation therapy and an oral fixation method in treatment of a lip cancer. The oral fixation device for radiation therapy includes a first spacer including a first insert inserted between a first lip portion and a first gum portion, and a teeth support coupled to the first spacer at a side of the first spacer disposed inwardly of an oral cavity, wherein teeth or a gum of a patient is supported on the teeth support, wherein a first spacer has a specific thickness to maintain a specific spacing between the first lip portion and the first gum portion, wherein the first lip portion includes a treatment target portion to be subjected to the radiation therapy.

Abstract: A method for predicting brain disease state change is disclosed. The method includes acquiring test images obtained by capturing a portion of a human brain at a time interval, performing a pre-processing procedure of converting the test images into test voxels configured to be processed for image analysis, wherein a respective test voxel of the test voxels is composed of three-dimensional voxel units, mapping first and second test voxels selected from the test voxels acquired from a patient, with each other on a three-dimensional voxel unit, wherein the first test voxel is acquired at a first time-point and the second test voxel is acquired at a second time-point, generating a voxel-based data-set based on the mapped first and second test voxels, extracting a change in the test voxels using a deep neural network, and generating a state change probability model based on the change in the test voxels.

Abstract: A method for detecting disease using a manometry includes obtaining pressure values from each of the plurality of pressure sensors during a pre-set time, obtaining a three-dimensional pressure distribution showing the changes in the pressure values according to location and time by using the time, the pressure values, and locations in which the pressure sensors are disposed within the arbitrary location section, and calculating the volume integral value of the interest location which is predetermined in accordance with the disease, in the three-dimensional pressure distribution.

Abstract: A method for predicting a pulmonary disease includes acquiring a three-dimensional computed tomography (CT) image from two-dimensional CT images, each of which captures a respective body position of a first patient, dividing the three-dimensional CT image into a plurality of regions to obtain region-based three-dimensional CT images configured to be used for fractal analysis, calculating a region-based fractal dimension value indicating a fractal complexity of a respective region-based three-dimensional CT image among the generated region-based three-dimensional computed tomography images, adding additional information to the region-based fractal dimension value to generate high-dimensional data, and generating status information of the first patient based on the complexity of the generated high-dimensional data.

Abstract: The present invention relates to a method for lysing pathogen lysis and a method for extracting nucleic acid using zinc oxide nanostar, and the method for extracting nucleic acid using zinc oxide nanostar according to the present invention can extract nucleic acids by lysing cells of a pathogen without using a lysis buffer and can extract nucleic acid of high-purity and high-concentration by preventing nucleic acid degradation and fragmentation through various substances including salts contained in the lysis buffer at high concentration. In addition, the zinc oxide nanostar of the present invention (200 to 900 nm) has superior cell lysis capacity compared to the conventional zinc oxide nanoparticles (20 to 50 nm), thereby increasing the nucleic acid extraction efficiency and can extract at room temperature without a heating step to use as a field diagnostic method.

Abstract: Disclosed are a radiotherapy assistant apparatus for modulating a build-up region of a photon beam for a radiotherapy, a radiotherapy system including the radiotherapy assistant apparatus, and method for the radiotherapy system. The radiotherapy assistant apparatus for modulating a build-up region of a photon beam for a radiotherapy, including at least: a magnetic field generator that generates a magnetic field that has a direction perpendicular to a movement direction of the photon beam, the magnetic field generator is disposed on a movement route along which the photon beam moves toward a target portion of the radiotherapy; and a magnetic field intensity adjuster that adjusts an intensity of the magnetic field generated by the magnetic field generator. The magnetic field generator disperses secondary electrons that have particular energy levels equal to or lower than a preset value.

Abstract: A method for detecting disease using a manometry includes obtaining pressure values from each of the plurality of pressure sensors during a pre-set time, obtaining a three-dimensional pressure distribution showing the changes in the pressure values according to location and time by using the time, the pressure values, and locations in which the pressure sensors are disposed within the arbitrary location section, and calculating the volume integral value of the interest location which is predetermined in accordance with the disease, in the three-dimensional pressure distribution.