Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.

Abstract: An image forming method and apparatus, and a host in which the image forming method includes setting a processing order of a plurality of operations of a same image data and detailed setup information of the plurality of operations, and executing the plurality of operations using the detailed setup information according to the set processing order.

Abstract: A medical registration training component executing within a medical registration system performs a training medical registration operation on a pair of medical studies. Responsive to the medical registration training system determining that the training medical registration operation succeeds, the medical registration training system records a medical registration instance for the pair of medical studies in a medical registration history and marks the medical registration instance as a positive instance in the medical registration history. Responsive to the medical registration training system determining that the training medical registration operation requires correction, the medical registration training system records a medical registration instance for the pair of medical studies in the medical registration history and marks the medical registration instance as a negative instance in the medical registration history.

Abstract: A method of quantitatively and qualitatively analyzing a biomaterial in real-time, the method comprising preparing a device for detecting a biomaterial, feeding a complex of first and second probes, a forward primer, a reverse primer, a sample comprising deoxynucleotide triphosphate, a polymerase having exonuclease activity, and a sample comprising target genes, and a reaction solution comprising a buffer into the reaction container, performing polymerase chain reaction comprising denaturation of the target genes in the sample, hybridization of the target genes, the complex, and the forward and reverse primers in the sample, and elongation of the primers through the polymerase having exonuclease activity, allowing for elongation of the second probe on the third probe by the polymerase after hybridizing the released second probe and the third probe fixed to the biochip, detecting a first fluorescence signal by the first phosphor and a second fluorescence signal by the second phosphor.

Abstract: Provided are a method, system, and non-transitory computer-readable recording medium for providing a message based on a group unit. A message providing method includes classifying a message received at a user terminal into a predefined group; creating a representative item of the group using a message included in the group; and providing message items through a message list in message box that includes the message received at the user terminal by including the representative item as an item associated with the group and by grouping messages included in the group in the message list.

Abstract: Machine logic (for example, software) for registering multiple medical images, each showing a common lesion, with each other. In performing this registration, registration points are chosen to be both: (i) outside of image portion that is potentially compromised by the lesion (in any of the multiple images); and (ii) as close to the lesion as possible. However, in at least one of the images the extent of the lesion is not known—so, in order to accommodate this uncertainty about the lesion boundaries, lesion predicting machine logic rules are used to predict the size, shape and/or location of the lesion. Machine learning is used to intermittently adjust and improve the lesion predicting machine logic rules.

Abstract: Medical imaging device- and display-invariant segmentation and measurement is provided. In various embodiments, a plurality of medical images is read from a data store. Metadata of each of the plurality of medical images is read. The metadata identifies an image acquisition device associated with each of the plurality of medical images. Based on the plurality of medical images and the metadata of each of the plurality of images, a learning system is trained to determine one or more image correction parameters. The one or more image correction parameters optimize segmentation of the plurality of medical images.

Abstract: Evaluation of segmentation of medical imagery is provided. In various embodiments, a candidate segmentation of a medical image of an anatomical feature is received. The candidate segmentation is provided to a first trained classifier. An indication is received from the first trained classifier of the accuracy of the candidate segmentation based on one or more feature of the candidate segmentation. One or more prior segmentation of a prior medical image of the anatomical feature is received. The candidate segmentation and the one or more prior segmentation are provided to a second trained classifier. An indication is received from the second trained classifier of the accuracy of the candidate segmentation based on one or more feature of the one or more prior segmentation.

Abstract: Provided are a method, system, and non-transitory computer-readable medium for managing a group message. A message management method includes transmitting a group message in which a plurality of recipients are set at a terminal of a user; creating a group chatroom that includes the group message; receiving an individual message from a terminal of at least one recipient among the plurality of recipients; including the individual message in an individual chatroom that is created in association with each of the plurality of recipients; and displaying and providing the group chatroom and the individual chatroom as a bundled item.

Abstract: An electronic device may measure a user's exercise or other activity and output intuitive information regarding the activity. The electronic device may include a sensor that senses a movement of the electronic device. A processor may determine types of activity states of specified unit times, and determine a specific activity state as a representative activity state of a specified time range based on distribution of the activity states of the specified unit times. The processor may output information corresponding to a determined representative activity state. Short bursts of secondary activity which occur during the specified time range may be omitted in the output information.

Abstract: Provided is a peptide for preventing or treating inflammatory diseases and a use thereof. According to a novel dimeric peptide according to the present invention, it is possible to not only exhibit an excellent therapeutic effect through anti-inflammatory action but also have a very small-sized peptide, thereby minimizing side effects due to the administration of external substances and will be expected to be used as an active substance that can replace existing therapeutic agents for inflammatory diseases.

Abstract: Disclosed is a method of measuring a video call quality of a mobile terminal, the method including establishing a video call between a transmitting terminal and a receiving terminal; modifying a video capture function provided from a terminal operating system (OS) and inserting a sequentially increasing index and timestamp into each video frame that is automatically acquired through a camera every time a video call application (app) of the transmitting terminal calls the video capture function; transmitting, by the transmitting terminal, the video frame to the receiving terminal; storing, by the receiving terminal, the video frame at a ratio higher than a frame per second (FPS) of the transmitting terminal; and extracting the index and the timestamp from the stored video frame through an optical character reader (OCR) text recognition and calculating a quality index.

Abstract: Provided is a novel peptide for preventing or treating inflammatory diseases and a use thereof. According to the novel dimeric or trimeric peptide, it is possible to not only exhibit an excellent therapeutic effect through anti-inflammatory action but also have a very small-sized peptide, thereby minimizing side effects due to the administration of external substances. Therefore, it is expected that the peptide can be used as an active substance that can replace existing therapeutic agents for inflammatory diseases.

Abstract: A computer-implemented method comprising obtaining, by a processor, measurements from a healthcare image of a patient, receiving familial data of the subject of the healthcare image, receiving clinical healthcare data from at least one source, filtering the clinical healthcare data based on the familial data to generate an expected healthcare characteristic pattern, determining, by the processor, whether an estimation equation appropriate for use with the measurements of the patient is preexisting at least partially according to the familial data of the patient and the expected healthcare characteristic pattern, selecting, by the processor, an equation for use with the measurements of the patient to provide an estimation based at least partially on the measurements and the expected healthcare characteristic pattern, determining, by the processor, the estimation at least partially according to the selected equation and the measurements of the patient, and outputting the estimation to a user.

Abstract: An apparatus comprising a memory comprising executable instructions, and a processor coupled to the memory and configured to execute the instructions to obtain measurements of a subject illustrated in a healthcare image, receive familial data of the subject of the healthcare image, receive clinical healthcare data from at least one source, filter the clinical healthcare data based on the familial data to generate an expected healthcare characteristic pattern for the subject of the healthcare image, determine an equation for estimation of a characteristic of the subject of the healthcare image at least partially according to the familial data of the subject of the healthcare image and the expected healthcare characteristic pattern for the subject of the healthcare image, determine the estimation of the characteristic of the subject of the healthcare image according to the measurements.

Abstract: The present invention relates to a peptide for preventing or treating inflammatory diseases and a use thereof. According to the novel dimeric peptide according to the present invention, it is possible to not only exhibit an excellent therapeutic effect through anti-inflammatory action but also have a very small-sized peptide, thereby minimizing side effects due to the administration of external substances and will be expected to be used as an active substance that can replace existing therapeutic agents for inflammatory diseases.

Abstract: The present invention relates to a peptide for preventing or treating inflammatory diseases and a use thereof. According to the novel dimeric or trimeric peptide according to the present invention, it is possible to not only exhibit an excellent therapeutic effect through anti-inflammatory action but also have a very small-sized peptide, thereby minimizing side effects due to the administration of external substances. Therefore, it is expected that the peptide can be used as an active substance that can replace existing therapeutic agents for inflammatory diseases.

Abstract: Disclosed is a method of measuring a video call quality of a mobile terminal, the method including establishing a video call between a transmitting terminal and a receiving terminal; modifying a video capture function provided from a terminal operating system (OS) and inserting a sequentially increasing index and timestamp into each video frame that is automatically acquired through a camera every time a video call application (app) of the transmitting terminal calls the video capture function; transmitting, by the transmitting terminal, the video frame to the receiving terminal; storing, by the receiving terminal, the video frame at a ratio higher than a frame per second (FPS) of the transmitting terminal; and extracting the index and the timestamp from the stored video frame through an optical character reader (OCR) text recognition and calculating a quality index.

Abstract: The present invention relates to a method for converting heavy oil by means of high dispersion of asphaltenes, comprising the steps of: preparing a mixture by mixing an amphiphilic additive and the heavy oil; and performing a hydrogenation reaction on the mixture, wherein the amphiphilic additive comprises both a polar group and a nonpolar group.

Abstract: Multiple algorithm lesion segmentation using an atlas is provided. In various embodiments, a plurality of medical images are read from an image repository. Each of the plurality of medical images has a source modality. Each of the plurality of medical images is registered to an anatomical atlas. An anatomical region depicted in each of the plurality of medical images is determined thereby. Based upon the source modality and the anatomical region depicted in each of the plurality of medical images, one of a plurality of segmentation algorithms is selected for each of the plurality of medical images. The selected segmentation algorithms are applied to each of the plurality of medical images. The results of the selected segmentation algorithms are displayed.