Abstract: Provided is a method for preventing or treating a liver disease, including administering a therapeutically effective amount of pharmaceutical composition to a subject in need, and the pharmaceutical composition includes the isothiocyanate structural modified compound and a pharmaceutically acceptable carrier thereof.

Abstract: A method includes: obtaining impact values for characteristic conditions; selecting training data subsets respectively from training data sets according to the impact values; obtaining a candidate model and an evaluation value based on the training data subsets; supplementing the training data subsets according to the impact values; obtaining another candidate model and another evaluation value based on training data subsets thus supplemented; repeating the step of supplementing the training data subset, and the step of obtaining another candidate model and another evaluation value based on the training data subsets thus supplemented; and selecting one of the candidate models as a prediction model based on the evaluation values.

Abstract: A system and a method for determining characteristic cells based on image recognition. In the method, a scanning device capturing a full image of the microslide; a host selecting images that comprise stained blocks from the full image; the host sequentially performing image recognition to recognize stained cells of the images, and determining whether the stained cells comprise the characteristic cells with an AI model; and selecting interested images from the images that comprise the characteristic cells, transforming the coordinate system of the interested images into the original coordinate system of the full image, and employing the scanning device to capture the interested images along the Z axis of the original coordinate system of the full image, thereby obtaining and outputting sets of pictures. The present invention can quickly determine whether there are characteristic cells in the tissue under test, so as to provide a diagnostic reference for doctors.

Abstract: The preset invention relates to a novel super-enhancer-bound Ash2l/OSN complex that can drive enhance activation, govern pluripotency network and sternness circuitry, and a reprogramming system or method through the regulation of this super-enhancer, Ash2l, to modulate pluripotency and cell fates. Ash2l directly binds to super-enhancers of several stemness genes to regulate pluripotency and self-renewal in pluripotent stem cells. Ash2l recruits Oct4/Sox2/Nanog (OSN) to form Ash2l/OSN complex at the super-enhancers of Jarid2, Nanog, Sox2, and Oct4, and further drives enhancer activation, upregulation of stemness genes, and maintains the pluripotent circuitry. Ash2l knockdown abrogates the OSN recruitment to all super-enhancers and further hinders the enhancer activation.

Abstract: The present disclosure relates to methods, apparatuses, and computer programs for processing computed tomography images. Precise segmentation of the left atrium (LA) in computed tomography (CT) images constitutes a crucial preparatory step for catheter ablation in atrial fibrillation (AF). We aim to apply deep convolutional neural networks (DCNNs) to automate the LA detection/segmentation procedure and create a three-dimensional (3D) geometries. The deep learning provides an efficient and accurate way for automatic contouring and LA volume calculation based on the construction of the 3D LA geometry. Non-pulmonary vein (NPV) trigger has been reported as an important predictor of recurrence post atrial fibrillation (AF) ablation. Elimination of NPV triggers can reduce the post-ablation AF recurrence. The deep learning was applied in pre-ablation pulmonary vein computed tomography (PVCT) geometric slices to create a prediction model for NPV triggers in patients with paroxysmal atrial fibrillation (PAF).

Abstract: The disclosure provides a disease classification method and a disease classification device. The disease classification method includes: inputting samples into a first stage model and obtaining a first stage determination result; inputting first samples determined positive by the first stage model into a second stage high specificity model to obtain second samples determined to be positive and third samples determined to be negative and rule in the second samples; inputting fourth samples determined negative by the first stage model into a second stage high sensitivity model to obtain fifth samples determined to be positive and sixth samples determined to be negative and rule out the sixth samples; obtaining a second stage determination result of the second and sixth samples; and inputting the third and fifth samples not ruled in or ruled out into a third stage model and obtaining a third stage determination result of the third and fifth samples.

Abstract: The invention provides an intra-needle ultrasound system and its method of use for analysis, tracking, and display of pleura in millimeter-scale resolution. This method includes the following steps: Assembling the puncture needle and intra-needle ultrasound transducer, which can generate and receive ultrasound waves at the needle tip. To transform the axial ultrasonic signal into a figure, that can help to identify different anatomic structures according to the corresponding feature of ultrasonic RF (Radio Frequency) signal, and to set the region of interest according to corresponding RF feature of amplitude and depth. This invention can indicate the distance between the ultrasound needle tip and pleura in a real-time fashion, and to identify the best position for anesthetic injection in the paravertebral block (PVB) and the intercostals nerve block (ICNB). The system can also help to avoid damage to the pleura and lung during the nerve block procedure.

Abstract: Disclosed is a system comprising a dialysis machine for performing a dialysis treatment in a patient, and a computer system in communication with the dialysis machine. The computer system uses a trained ML model to generates a result that indicates the risk of the patient for developing heart failure during the dialysis treatment, and shows a warning sign on a display if the result indicates that the patient is at risk of heart failure.

Abstract: A new approach for the treatment of a malignant disease is provided. The new method comprises administering a traditional anti-cancer therapy in combination with a DNA or protein vaccine comprising CTLA-4 and PD-1, or a DNA or protein vaccine comprising CTLA-4 and PD-L1.

Abstract: A composition for treating Fabry disease, which includes a polynucleotide having gene editing function for correction of the specific mutation (IVS4+919 G>A) of GLA gene. A method for treating Fabry disease, which uses gene editing systems for correction of the specific mutation (IVS4+919 G>A) of GLA gene in Fabry disease.

Abstract: The present disclosure pertains to a method for diagnosing a middle ear disease comprising receiving one or more otoscopic image of a subject, pre-processing the one or more otoscopic image to obtain image data, inputting the image data to a trained network model, generating, using the trained network model, an output that characterizes the health of the subject with respect to the middle ear disease, and generating a diagnostic result based on the output, wherein the trained network model is based on a model selected from the group consisting of a MobileNetV2 model, a NASNetMobile model, and a DenseNet201 model.

Abstract: The present disclosure pertains to a method for diagnosing AMD comprising receiving OCTA image of a subject, pre-processing the OCTA image to obtain image data, inputting the image data to a trained deep learning (DL) network, generating using the trained DL network an output that characterizes the health of the subject with respect to AMD, and generating a diagnostic result based on the output.

Abstract: Disclosed are an anti-freezing agent for protecting a biological tissue from being damaged during a freezing treatment and a preparation method therefor. The method for preparing the anti-freezing agent involves mixing ethylene glycol, water and dimethylsulfoxide homogeneously to form a matrix, and then slowly adding sodium polyacrylate. The prepared anti-freezing agent is coated onto biological tissue during a freezing treatment such that damage to the biological tissue is reduced.

Abstract: A physiological status evaluation method and a physiological status evaluation apparatus are provided. The method includes the following: obtaining original electrocardiogram data of a user by an electrocardiogram detection apparatus; converting the original electrocardiogram data into digital integration data; obtaining a plurality of physiological characteristic parameters according to the digital integration data; filtering the physiological characteristic parameters for at least one notable characteristic parameter through at least one filter model, where decision importance of the at least one notable characteristic parameter in a decision process of the at least one filter model is greater than a threshold; building a prediction model according to the at least one notable characteristic parameter; and evaluating a physiological status of the user through the prediction model.

Abstract: The disclosure of the preset invention relates to a new method for preventing or treating tumor progression or tumor recurrence comprising administering to a subject in need thereof a therapeutically effective amount of an agent disrupting Musashi-1 (MSI1)/Argonaute 2 (AGO2) interaction. A composition or pharmaceutical composition for preventing or treating tumor progression or tumor recurrence is also provided, which comprises an agent disrupting Musashi-1 (MSI1)/Argonaute 2 (AGO2) interaction.

Abstract: The present invention provides a computer-implanted method and system for diagnosing sudden sensorineural hearing loss (SSNHL) of an ear in a subject; comprising on one or more processors of the computer the steps of: testing the hearing of two ears of the subject, and calculating the difference between them; and comparing the difference with a threshold to diagnose the subject as SSNHL or not.

Abstract: A physiological status evaluation method and a physiological status evaluation apparatus are provided. The method includes the following: obtaining original electrocardiogram data of a user by an electrocardiogram detection apparatus; converting the original electrocardiogram data into digital integration data; obtaining a plurality of physiological characteristic parameters according to the digital integration data; filtering the physiological characteristic parameters for at least one notable characteristic parameter through at least one filter model, where decision importance of the at least one notable characteristic parameter in a decision process of the at least one filter model is greater than a threshold; building a prediction model according to the at least one notable characteristic parameter; and evaluating a physiological status of the user through the prediction model.

Abstract: The disclosure provides a disease classification method and a disease classification device. The disease classification method includes: inputting samples into a first stage model and obtaining a first stage determination result; inputting first samples determined positive by the first stage model into a second stage high specificity model to obtain second samples determined to be positive and third samples determined to be negative and rule in the second samples; inputting fourth samples determined negative by the first stage model into a second stage high sensitivity model to obtain fifth samples determined to be positive and sixth samples determined to be negative and rule out the sixth samples; obtaining a second stage determination result of the second and sixth samples; and inputting the third and fifth samples not ruled in or ruled out into a third stage model and obtaining a third stage determination result of the third and fifth samples.

Abstract: The present invention provides a method for predicting a clinical prognosis of a subject having a cancer, especially a liver cancer, by measuring the expression level of at least one biomarker selected from the group consisting of B4GALT6, GLA, GM2A, HEXB and PSAP, and an upregulation of the at least one biomarker is indicative of the subject at increased risk for having a poor clinical prognosis.

Abstract: Disclosed are an anti-freezing agent for protecting a biological tissue from being damaged during a freezing treatment and a preparation method therefor. The method for preparing the anti-freezing agent involves mixing ethylene glycol, water and dimethylsulfoxide homogeneously to form a matrix, and then slowly adding sodium polyacrylate. The prepared anti-freezing agent is coated onto biological tissue during a freezing treatment such that damage to the biological tissue is reduced.