Abstract: This invention discloses a traditional Chinese medicine, Mu Dan Pi (Moutan radicis cort), that has the potential to be used for the prevention or treatment of cachexia and muscle loss in cancer patients. The composition is a novel therapeutic agent for cachexia.

Abstract: According to the present disclosure, an oral rehabilitation device includes an air bladder and a pumping member. The air bladder includes a cheek-side membrane and a teeth-side membrane, and the cheek-side membrane and the teeth-side membrane are arranged opposite to each other. The pumping member is communicated with the air bladder, and the pumping member is configured for inflating the air bladder. The cheek-side membrane and the teeth-side membrane extend toward the outside of the air bladder when the pumping member is inflating the air bladder, and an extension of the cheek-side membrane is larger than an extension of the teeth-side membrane.

Abstract: According to the present disclosure, an oral rehabilitation device includes an air bladder and a pumping member. The air bladder includes a cheek-side membrane and a teeth-side membrane, and the cheek-side membrane and the teeth-side membrane are arranged opposite to each other. The pumping member is communicated with the air bladder, and the pumping member is configured for inflating the air bladder. The cheek-side membrane and the teeth-side membrane extend toward the outside of the air bladder when the pumping member is inflating the air bladder, and an extension of the cheek-side membrane is larger than an extension of the teeth-side membrane.

Abstract: A dynamic three-dimensional meridian system of a human body includes a non-transitory machine readable medium, a touch-screen monitor and a processor. The non-transitory machine readable medium includes a human meridian program, a three-dimensional anatomical image database of the human body and a meridian database. The human meridian program includes a three-dimensional image establishing module, a human meridian building module and an operating module. The touch-screen monitor is signally connected to the non-transitory machine readable medium, wherein the touch-screen monitor is for displaying a dynamic three-dimensional meridian image of the human body and a graphical user interface of the human meridian program. The processor is signally connected to the non-transitory machine readable medium and the touch-screen monitor.

Abstract: The present invention belongs to the field of diagnosis and treatment of tumors, and relates to a HIF-2? small-molecule inhibitor and use thereof in treatment of tumors such as breast cancer and ovarian cancer. The small-molecule inhibitor is a compound represented by formula (I) or a stereoisomer, pharmaceutically acceptable salt, solvate or prodrug of the compound represented by formula (I). The small-molecule inhibitor mainly inhibits the proliferation of tumor cells by inhibiting HIF-2? protein, and can also inhibit the growth of CSCs with high expression of HIF-2?. The small-molecule inhibitor can be used as a novel anti-tumor drug to completely eliminate tumors and stem cells, and has broad application prospects.

Abstract: A method for enhancing an expression of insulin like growth factor 1 receptor in an umbilical cord mesenchymal stem cell is provided. The method includes culturing the umbilical cord mesenchymal stem cell expressing insulin-like growth factor 1 receptor in a medium containing platelet-derived growth factor BB (PDGF-BB) to enhance the expression of insulin like growth factor 1 receptor in the umbilical cord mesenchymal stem cell.

Abstract: A renal function assessment method includes following steps. A target kidney ultrasound image data of a subject is provided. An image pre-processing step is performed, wherein an image size of the target kidney ultrasound image data is adjusted, and the target kidney ultrasound image data is normalized according to an average and a standard deviation of a visual image database to obtain an after-processed target kidney ultrasound image data. A feature extracting step is performed, wherein the after-processed target kidney ultrasound image data is trained to achieve a convergence by a first deep-learning classifier to obtain an image feature of the after-processed target kidney ultrasound image data. A determining step is performed, wherein the image feature of the after-processed target kidney ultrasound image data is analyzed by the first deep-learning classifier to obtain an assessing result of an estimated glomerular filtration rate (eGFR).

Abstract: The present disclosure relates to an oligopeptide. The oligopeptide includes an amino acid sequence. The amino acid sequence includes a binding motif, and the binding motif has a specific amino acid sequence. The present disclosure also relates to a testing kit including the oligopeptide and a medical composition including the oligopeptide.

Abstract: The present disclosure relates to a chimeric antigen receptor, a nucleic acid, a chimeric antigen receptor expression plasmid, a chimeric antigen receptor expressing cell, a pharmaceutical composition for treating cancer, and use of the chimeric antigen receptor expressing cell. The chimeric antigen receptor is specific to human leukocyte antigen G. The nucleic acid encodes the chimeric antigen receptor. The chimeric antigen receptor expression plasmid expresses the chimeric antigen receptor. The chimeric antigen receptor expressing cell is obtained by transducing the chimeric antigen receptor into an immune cell. The pharmaceutical composition for treating cancer includes the chimeric antigen receptor expressing cell and a pharmaceutically acceptable carrier.

Abstract: A hydrogel composition, a hydrogel biomedical material, a method for facilitating regeneration of a bone and a manufacturing method of a hydrogel composition are provided. The hydrogel composition includes a first deionized water, a gel powder, a transglutaminase mixture and a hyaluronic acid powder. The gel powder includes gelatin and alginic acid. The first deionized water, the gel powder, the transglutaminase mixture and the hyaluronic acid powder are evenly mixed. Based on the hydrogel composition being 100 wt %, the first deionized water is 95 wt % to 98.46 wt %, the gel powder is 1 wt % to 3 wt %, the transglutaminase mixture is 0.04 wt % to 0.15 wt %, and the hyaluronic acid powder is 0.5 wt % to 1.5 wt %.

Abstract: A method for analyzing biological-tissue image includes following steps. A plurality of biological-tissue images are provided, and each of the biological-tissue images includes a plurality of target object image blocks. An image pre-processing step is performed so as to obtain a plurality of processed biological-tissue images. A fitting step is performed so as to obtain a plurality of object fitting images of the target object image blocks. A sampling step is performed, wherein a target region of each of the processed biological-tissue images is selected, and the target region includes the object fitting images. A calculating and analyzing step is performed so as to obtain an analysis result of a target regional center of the biological-tissue images.

Abstract: A method for assessing drug-resistant microorganism includes the following steps. A model establishing step is performed so as to obtain an antibiotic resistance assessing classifier. A test sample is provided. A sample pre-processing step is performed so as to obtain a processed sample. An analysis step is performed so as to obtain a target mass spectrum data. A spectrum pre-processing step is performed so as to obtain a normalized target mass spectrum data. A feature extraction step is performed so as to obtain a spectrum feature. An assessing step is performed, wherein the spectrum feature is analyzed by the antibiotic resistance assessing classifier so as to output an assessed result of drug-resistant microorganism, and the assessed result of drug-resistant microorganism is for assessing whether the test microorganism is a drug-resistant microorganism or not.

Abstract: An artificial intelligence assisted medical diagnosis method for a sepsis is proposed. A database reading step is performed to read a sepsis database and at least one database to be tested of a storing unit. The sepsis database includes a plurality of sepsis data, and the at least one database to be tested includes a plurality of data to be tested. A data table creating step is performed to create a sepsis data table according to the sepsis data, and create a data table to be tested according to the data to be tested. A model training step is performed to train the sepsis data table according to a K-fold cross-validation and a machine learning algorithm to generate a sepsis diagnosis model. A sepsis predicting step is performed to input the data table to be tested into the sepsis diagnosis model to calculate a sepsis prediction result.

Abstract: An intelligent medical speech automatic recognition method includes performing a first model training step, a second model training step, a voice receiving step, a signal pre-treatment step and a transforming step. The first model training step is performed to train a generic statement data and a medical statement data of a database to establish a first model. The second model training step is performed to train a medical textbook data of the database to establish a second model. The voice receiving step is performed to receive a speech signal. The signal pre-treatment step is performed to receive the speech signal from the voice receiver and transform the speech signal into a to-be-recognized speech signal. The transforming step is performed to transform and recognize the to-be-recognized speech signal into a complete sentence writing character according to the first model and the second model.

Abstract: A method for enhancing an expression of insulin like growth factor 1 receptor in a mesenchymal stem cell is provided. The method includes culturing the mesenchymal stem cell expressing insulin-like growth factor 1 receptor in a medium containing platelet-derived growth factor BB (PDGF-BB) to enhance the expression of insulin like growth factor 1 receptor in the mesenchymal stem cell.

Abstract: A method for treating a cancer of similar or same histological type is provided. The method includes administering a xenogeneic tissue cell composition to a subject in need for a treatment of the cancer of similar or same histological type. The xenogeneic tissue cell composition does not include a tumor cell, and the xenogeneic tissue cell composition is administered to the cancer of the similar or same histological type by an intralesional route.

Abstract: A vaccine including a vector and a transgene is provided. The transgene encodes a plurality of peptides and is packaged in the vector, in which the peptides in order include a secretion signal peptide, at least one tumor antigen, at least one co-inhibitory peptide and a toll-like receptor 9 (TLR9) antagonist.

Abstract: A method for predicting susceptibility to stimulator of interferon genes (STING) agonists of a cancer patient is provided, comprising (1) obtaining at least one sample from the cancer patient; (2) detecting an expression level of S-methyl-5?-thioadenosine phosphorylase (MTAP) in the at least one sample by using at least one specific probe; and (3) if MTAP is expressed in the at least one sample, then predicting that the cancer patient has high-susceptibility to STING agonists and providing STING agonists to treat the cancer patient; otherwise providing non-STING agonists for treatment.

Abstract: A non-invasive method of evaluating blood cell measurement and a non-invasive blood cell measurement evaluating system are provided. The non-invasive method of evaluating blood cell measurement includes providing of a dialysis tubing image datum of a subject, performing an image preprocessing step, performing a model predicting step and performing a determining and classifying step. The non-invasive blood cell measurement evaluating system includes an image capturing device and a processor electrically connected to the image capture device.

Abstract: A system of deep learning neural network in prostate cancer bone metastasis identification based on whole body bone scan images includes a pre-processing module for receiving input whole body bone scan images, and a neural network module for detecting whether there is a prostate cancer bone metastasis. The neural network module includes: a chest portion network module for establishing first stage faster R-CNN and segmenting training images of chest portion according to the input whole body bone scan images, and using the training images to train second stage faster R-CNN and categorizing the lesions of cancerous bone metastasis; and a pelvis portion network module for establishing first stage faster R-CNN and segmenting training images of pelvis portion according to the input whole body bone scan images, and using the training images to train the convolutional neural network to categorize whether it is a bone metastasis image.