Abstract: A method of opportunistic screening of osteoporosis includes obtaining a plain film chest X-ray (CXR); extracting regions of interest (ROIs) from the plain film CXR; and providing individual bone mineral density (BMD) scores corresponding to the extracted ROIs and a joint BMD corresponding to the plain film CXR based on a multi-ROI model by performing: inputting the extracted ROIs into a backbone network to generate individual feature vectors, each individual feature vector corresponding to one of the extracted ROIs; concatenating the individual feature vectors into a joint feature vector; individually decoding the individual feature vectors by a shared fully connected (FC) layer to generate the individual BMDs, each individual BMD corresponding to one of the individual feature vectors; and decoding the joint feature vector by a separate FC layer to generate the joint BMD.

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: 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: 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 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: 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: 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: A method for determining a human subject's risk of developing acute kidney injury (AKI) from acute myocardial infarction (AMI) includes: obtaining a blood sample; determining at least two miRNA expression levels therein, which are selected from miR-23a-3p, miR-24-3p, and miR-145-5p expression levels; calculating probability of developing AKI from AMI based on the at least two miRNA expression levels and a logistic regression model; comparing the probability with a predetermined standard; and determining that the human subject is at the risk of developing AKI when the probability is higher than the predetermined standard. A composition may be administered to the human subject for inhibiting development of AKI, if any.

Abstract: Provided herein is a method for treating an oral cancer in a subject. According to embodiments of the present disclosure, the method comprises respectively obtaining a first and a second biological samples from a lesion site and a non-lesion site of the subject; respectively measuring the expression levels of CHEK1, PIK3CA, or PIK3CD in both biological samples by qRT-PCR thereby obtaining a first and a second expression level; determining the ratio of the first to the second expression level; and administering to the subject an effective amount of a checkpoint kinase 1 inhibitor when the ratio for CHEK1 is at least 1.7 or a phosphatidylinositol 3-kinase inhibitor when the ratio for PIK3CA is at least 2.4, or when the ratio for PIK3CD is at least 3.1.

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

Abstract: An immunoassay includes forming first mixtures by reacting a combination reagent with serum of a subject; simultaneously forming second mixtures by reacting randomly selected platelet samples with the serum wherein in each mixture there are immunity compounds formed by combining the platelet antigens with predetermined antibodies in the serum, and other platelet antigens and other antibodies in the serum not forming the immunity compounds; preparing an interception device including receptacles and a filter net; placing each mixture in one receptacle; washing the mixtures wherein the mixtures forming the immunity compounds are intercepted by the filter net with others passing through; adding a signal sensing reagent to each receptacle; reacting the signal sensing reagent with the intercepted mixtures forming the immunity compounds to form final products; and performing a signal sensing to determine whether the final products contain anti-platelet antibodies and determine compatibility of cross matching of resp

Abstract: Provided herein is a method for treating an oral cancer in a subject. According to embodiments of the present disclosure, the method comprises respectively obtaining a first and a second biological samples from a lesion site and a non-lesion site of the subject; respectively measuring the expression levels of CHEK1, PIK3CA, or PIK3CD in both biological samples by qRT-PCR thereby obtaining a first and a second expression level; determining the ratio of the first to the second expression level; and administering to the subject an effective amount of a checkpoint kinase 1 inhibitor when the ratio for CHEK1 is at least 1.7 or a phosphatidylinositol 3-kinase inhibitor when the ratio for PIK3CA is at least 2.4, or when the ratio for PIK3CD is at least 3.1.

Abstract: Methods for treating a wound or promote wound healing are provided, comprising the step of administering a composition including an effective amount of ?-1 adrenergic receptor antagonist to a subject in need thereof. Also provided is apparatus for wound healing, comprising a dressing and a composition including an effective amount of ?-1 adrenergic receptor antagonist.

Abstract: A method of establishing a coronary artery disease (CAD) prediction model for CAD screening includes establishing a data set in a computer equipment; entering the data set and corresponding future CAD condition of asymptomatic individuals into a machine learning component; selecting a plurality of robust variables from the clinical data and the cardiovascular markers of the cardiovascular markers panel by using feature selection methods; establishing the CAD prediction model by using machine learning methods; uploading new clinical data and new results of the cardiovascular markers to the cloud-based platform when any asymptomatic individuals undergo the health examination, and performing calculation and analysis by the CAD prediction model; and notifying the asymptomatic individuals of having a high risk of encountering a CAD event or not in a certain period of follow-up time.

Abstract: Provided is a method for evaluating the risk of drug hypersensitivity reaction induced by antibiotics sulfamethoxazole and/or trimethoprim. The drug hypersensitivity reaction comprises: maculopapular eruption, fixed drug eruption, Stevens-Johnson Syndrome, toxic epidermal necrolysis, drug rash with eosinophilia and systemic symptoms. A specific HLA genotype is associated with the drug hypersensitivity reaction induced by the antibiotics sulfamethoxazole and/or trimethoprim.

Abstract: A method for establishing a computer-aided data interpretation model for immune diseases by immunomarkers and visualization is revealed. First combine a plurality of immunomarkers into an immunomarker panel. Then collect test data of a plurality of subjects measured by the immunomarker panel, and disease diagnosis information of the subjects for establishment of an immunomarker-panel testing database. Next new subjects are tested by the immunomarker panel. The data obtained and the corresponding information in the immunomarker-panel testing database are processed by unsupervised machine learning algorithm to get a computer-aided data interpretation model showing comparison of case distribution patterns. The method provides real-time analysis of multiple data to medical professionals for their reference. Thereby the correctness, the timeliness and the reproducibility of the interpretation result for the diagnosis and treatment of immune diseases are all improved.

Abstract: Provided herein are synthetic peptides and methods for treating cardiorespiratory diseases, particularly cardiopulmonary disorder (CPD) by use of the synthetic peptides. The present synthetic peptide has the amino acid sequence of X1EX2LRVANEVTLN (SEQ ID NO: 1), in which X1 is tyrosine (Y) or phenylalanine (F), and X2 is alanine (A) or cysteine (C). In preferred embodiments, an effective amount of the present synthetic peptide is administered to a subject suffering from CPD to ameliorate or alleviate symptoms associated therewith.

Abstract: A pattern recognition method of the immunofluorescence images of autoantibody identification is disclosed. The method includes the following steps: inputting a plurality of original cell immunofluorescence images; conducting an operation of a plurality of convolutional neural networks by a processor, the plurality of convolutional neural networks include a convolution layer, a pooling layer and an inception layer for capturing the plurality of convolution features; conducting a judgment process to obtain the proportions of the antinuclear antibodies morphological patterns; and outputting the recognition results.

Abstract: A classification system and a classification method of the autoantibody immunofluorescence image are disclosed. The system includes an input device, a processor and an output device. The plurality of cell immunofluorescence images and the corresponded extractable nuclear antigen results are input through the input device. The processor conducts a plurality of convolution neural network calculation and output the classification based on the extractable nuclear antigen results, so as to obtain an extractable nuclear antigen classification model. When the autoantibody immunofluorescence image is input by the input device, the corresponded classification of the extractable nuclear antigen can be predicted. The classification result is output through the output device.