Abstract: The presently disclosed subject matter provides for chimeric receptors that target MUC16 and cells comprising such chimeric receptors. The presently disclosed subject matter further provides uses of the chimeric receptors for treatment.

Abstract: The presently disclosed subject matter relates generally to a treatment garment for use in clothed radiation treatment and diagnosis procedures, and methods of using the garment.

Abstract: The presently disclosed subject matter provides for antigen-recognizing receptors that specifically target uPAR and cells comprising such uPAR-targeted antigen-recognizing receptors. The presently disclosed subject matter further provides uses of the uPAR-targeted antigen-recognizing receptors for treatment.

Abstract: The presently disclosed subject matter provides for antigen-recognizing receptors that specifically target uPAR and cells comprising such uPAR-targeted antigen-recognizing receptors. The presently disclosed subject matter further provides uses of the uPAR-targeted antigen-recognizing receptors for treatment.

Abstract: The presently disclosed subject matter provides antibodies or antigen-binding fragments thereof that bind to uPAR and methods of using such antibodies or antigen-binding fragments thereof same.

Abstract: The present invention discloses a respiratory mask to connect a user and a breathing tube for receiving a first gas and releasing a second gas, so as to provide an user's respiratory system to exchange gas. It comprises a main part, an air chamber exchange part, an insert and a clamping part. The main part provides a first, second, and third openings that are communicated each other. The first opening connects to the breathing tube to receive the first gas from the breathing tube. The air chamber exchange part provides an exhaust assembly to relieve pressure according to an internal air pressure of the air chamber exchange part. The insert connects to the user's nose so as to direct the first gas to the user or direct the second gas from the user to the air chamber exchange part. The clamping part connects to the user's mouth.

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: The present disclosure provides methods for generating cortical excitatory neurons, cortical excitatory neurons generated by such methods, and composition comprising such cells. The present disclosure also provides uses of the cortical excitatory neurons and composition comprising thereof for preventing and/or treating neurodegenerative disorders.

Abstract: The present disclosure relates to the use of iron chelation to prevent and/or treat leptomeningeal metastasis. In certain embodiments, the present disclosure provides methods for the prevention and/or treatment of leptomeningeal metastasis that include the administration of an iron chelator to a subject. The present disclosure further provides kits for performing such methods.

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: The presently disclosed subject matter provides cells, compositions and methods for enhancing immune responses toward tumor antigens. It relates to cells comprising: an antigen-recognizing receptor (e.g., a chimeric antigen receptor, a TCR, or a TCR like fusion molecule); and a gene disruption of a CD70 locus. The gene disruption of the CD70 locus can improve the activity and/or efficiency of the cells.

Abstract: The present disclosure provides compounds, complexes, compositions, and methods for the detection of cancer. Specifically, the compounds, complexes, compositions of the present technology include pH (low) insertion peptides. Also disclosed herein are methods of using the complexes and compositions of the present technology in diagnostic imaging to detect cancer in a subject.

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 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 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.