Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: A method of using NC-MRA to generate pelvic veins images and measure rate of blood flow includes subjecting a lay patient to undergo magnetic resonance scan in cooperation with an ECG monitor and a respiration monitor; scanning coronary sections and transverse sections of kidney veins, lower cavity veins, common iliac veins, and external iliac veins to generate two-dimensional images wherein the two-dimensional images use balanced turbo field echo wave sequence; scanning coronary sections of common cardinal veins of abdominal cavity to generate three-dimensional images wherein the three-dimensional images use fast spin-echo short tau inversion recovery wave sequence and sample signals when the ECG monitor monitors myocardial contractility; and using quantification phase-contrast analysis to measure blood flowing through the transverse sections of the veins in a two-dimensional scan.

Abstract: An electronic device and a method for diagnosing heart state based on electrocardiogram (ECG) are provided. An ECG file is obtained, and the ECG file is in a first file format and includes a plurality of potential traces of a plurality of leads. The ECG file is converted to a second file format to obtain electrocardiogram data corresponding to multiple leads. Each potential trace relative to time in the ECG file is converted to the ECG data of each lead. Integrated ECG data associated with the leads is generated based on the ECG data of the plurality of leads through the zero-padding operation and the stacking operation. A diagnostic result of heart status is generated based on the integrated ECG data and a deep learning model.

Abstract: An apparatus and method for examining an organism surface includes a pliable member including a contact layer, a plurality of channels, and a reaction layer, wherein the plurality of channels are disposed between the contact layer and the reaction layer; each of the channels having a size in the range of micrometers and formed of biocompatibility materials, and the contact layer including a plurality of spherical projections having a size in the range of micrometers and formed of biocompatible materials, and the reaction layer including examining molecules and a reaction unit.

Abstract: A method includes a step of obtaining plural pieces of training data each of which includes a different radiographic image of a bone and each of which has a label indicating one of an overt fracture, an occult fracture and no fracture, a step of using the plural pieces of training data to pre-train a deep convolutional network (DCN) model to obtain a preliminary DCN model, a step of determining a subset of the plural pieces of training data by at least excluding any piece of training data that has a label indicating occult fracture, and a step of using the subset to train the preliminary DCN model to obtain a first DCN model.

Abstract: Methods and kits for diagnosing or predicting the risk of developing psoriatic arthritis in a subject in need of such diagnosis or risk prediction are provided, comprising measuring the expression level of one or more miRNAs disclosed herein in the sample of the subject, and compared the expression level of at least one of the miRNAs in the test sample with that of the psoriatic arthritis-free sample. Also provided are methods of treating psoriatic arthritis by reducing the expression level of at least one of the miRNAs disclosed herein.

Abstract: A method includes providing medical images of a subject for selecting a target image from thereamong, building a 3D image model based on the medical images and the target image with a surgical target site assigned, performing image registration to superimpose the 3D image model on a real-time image of the subject so as to result in a combined image, determining a virtual entry site located on the combined image, connecting the surgical target site and the virtual entry site with a straight line, generating a guiding path extending from the virtual entry site, in a direction away from the surgical target site and along the straight line, and displaying the guiding path for guiding a surgical instrument.

Abstract: The disclosure provides a method for evaluating whether an individual with cancer is suitable for being administered with anti-cancer drugs. Wherein the anti-cancer drug is a CDK inhibitor. The method includes the following steps: (1) detecting a copy number of a first gene and a copy number of a second gene from an in vitro sample of the individual with the cancer to obtain a copy number variation (CNV) of the first gene and a copy number variation (CNV) of the second gene; (2) calculating a copy number variation ratio (CNV ratio) between the copy number variation (CNV) of the first gene and the copy number variation (CNV) of the second gene, wherein the first gene encodes a cyclin and the second gene encodes a cyclin dependent kinase inhibitor (CDKN); and (3) determining whether the individual with the cancer is suitable for being administered with the CDK inhibitor according to the CNV ratio.

Abstract: A method for categorizing and adjusting an orientation of a clinical image is implemented using a system that includes a categorization module and a plurality of orientation modules. The method includes: in response to receipt of the clinical image, performing, by the categorization module, a categorization operation so as to categorize the clinical image into one of a plurality of predetermined categories; transmitting the clinical image to a corresponding one of the plurality of orientation modules based on a result of the categorization operation; and performing, by the corresponding one of the plurality of orientation modules, an orientation adjusting operation for adjusting the orientation of the clinical image. For a clinical image that is a facial image and for a clinical image that is an intra-oral image, different orientation adjusting operations may be performed, so as to generate an adjusted image that is properly oriented.

Abstract: A construction method of ribosomal RNA database is provided, including the following steps: selecting a source of nucleic acid sequence database; performing normalization and homogenization on species classification rules; using AI technology for normalized classification and correction; selecting the kingdom to which the sequence species belongs; filtering out redundant sequences and sequences with inconsistent lengths; setting a threshold for unknown bases other than A, T, C or G, and excluding unknown bases that exceed the threshold; and excluding sequences with insufficient classification information.

Abstract: A feature selection method is provided, including: inputting a plurality of pieces of training data into a plurality of training models to perform selection in a plurality of features through each training model for obtaining multiple feature pools; sorting the features based on the number of times each feature is selected by the feature pools to obtain a feature ranking; and extracting a plurality of designated features from the features based on the feature ranking.

Abstract: A method for establishing a 3D medical imaging model of a subject is to be implemented by an X-ray computed tomography (CT) scanner and a processor. The method includes: emitting X-rays on the subject sequentially from plural angles with respect to the subject to obtain M number of X-ray images of the subject in sequence; obtaining, for each pair of consecutive X-ray images, K number of intermediate image(s) by using the pair of consecutive X-ray images as inputs to a convolutional neural network (CNN) model that has been trained for frame interpolation; and establishing the 3D medical imaging model by using a 3D reconstruction technique based on the M number of X-ray images and the intermediate images obtained for the M number of X-ray images.

Abstract: An isolated cancer-targeting peptide that includes at least two copies of the amino acid sequence PFLP (SEQ ID NO: 1) or PFLF (SEQ ID NO: 2). Also disclosed is a pharmaceutical composition for treating cancer. The composition contains the isolated cancer-targeting peptide and an anti-cancer agent. Further disclosed is a bispecific anti-cancer antibody that includes the isolated cancer-targeting peptide and an antigen-binding peptide that stimulates T cell activity. Methods are provided for treating cancer by administering the pharmaceutical composition or the bispecific anti-cancer antibody. Further provided is a method for diagnosing cancer by administering a radionuclide-labeled cancer-targeting peptide to an individual and imaging a location of the radionuclide.

Abstract: An operating method of a ketogenic dietary evaluation system includes steps as follows. The electroencephalogram data of a responder group and the electroencephalogram data of a non-responder group are preloaded, in which each electroencephalogram datum includes electroencephalograms of channels. The electroencephalograms of the channels are preprocessed to obtain the preprocessed electroencephalograms of the channels. A connectivity matrix is obtained on a basis of the phase synchronization between each two of the preprocessed electroencephalograms of the channels. The connectivity matrix is sampled and analyzed through different frequency bands and different proportion threshold values to obtain graphical parameters. A predictive model is established on a basis of a reduction rate of a predetermined event of the responder group, a reduction rate of the predetermined event of the non-responder group and the parameters.

Abstract: Disclosed herein is a method for diagnosing a neurological disorder based on at least one magnetic resonance imaging (MRI) image. The method includes identifying brain image regions that contain a respective portion of diffusion index values of at least one diffusion index. For each of the brain image regions, a characteristic parameter based on the respective portion of the diffusion index values is calculated. a diagnoses is then made for the brain using one of predetermined categories of the neurological disorder by performing classification on a combination of the characteristic parameters via a classifier.

Abstract: Pharmaceutical compositions containing a combination of rhizoma coptidis and a herbal composition comprises at least one herb selected from the group consisting of Radix Ginseng, Poria, Rhizoma Atractylodis macrocephalae, Semen Lablab album, Rhizoma Dioscoreae, Embryo Nelumbinis, Radix Platycodonis, Semen Coicis, Fructus Amomi, Fructus Jujubae and Radix Glycyrrhizae are disclosed. Methods of treating diseases by administering an effective amount of the pharmaceutical composition are also provided.

Abstract: A cardiac pacing device to be disposed in a heart between an atrium and an atrial appendage protruding from the atrium includes a blocker and a regulator attached to the blocker. The blocker is configured to occlude the atrial appendage. The regulator is configured to contact the heart when the blocker is positioned between the atrium and the atrial appendage to occlude the atrial appendage in order to regulate a cardiac rhythm of the heart accordingly.

Abstract: Disclosed herein is a method of quantifying a mutant allele burden of a target gene in a subject. The method includes providing a first plasmid that includes a mutant allele sequence and an internal control sequence, and a second plasmid that includes a wild-type allele sequence and the internal control sequence, and subjecting DNA of the subject to quantitative polymerase chain reaction to measure a mutant allele expression level of the target gene, so as to determine the mutant allele burden of the target gene in the subject based on a standard curve of the mutant allele burden of the target gene created by serial dilution of the first and second plasmids.

Abstract: The present invention relates to methods that use novel biomarkers for diagnosing and/or treating Kawasaki diseases. The novel biomarkers of the invention show altered cytosine methylations state of certain CpG loci in subject with Kawasaki Disease relative to subject without Kawasaki diseases. Also provided are kits comprising at least one primer or reagent specific for the altered cytosine methylation state of certain CpG loci to detect Kawasaki Disease.

Abstract: An electronic device and a method for screening features for predicting a physiological state are provided. The method includes: obtaining multiple physiological data corresponding to multiple features; generating multiple first subsets of the multiple features according to the multiple physiological data based on a first model, wherein the multiple first subsets respectively correspond to the multiple physiological data; selecting a first feature from the multiple features according to the multiple first subsets, calculating a first relation index of the first feature and a second feature corresponding to the multiple features, and selecting the second feature as an accompanied feature of the first feature according to the first relation index; and outputting the first feature and the accompanied feature.