Abstract: Present invention is related to a tumor microenvironment on chip or a biochip for cell therapy having a carrier, a first cell or tissue culture area and a second cell or tissue area imbedded within the carrier. The present invention provides a biochip successfully cooperating micro fluidic technology and cell culture achieving the goal for detecting or testing the function of cell therapy for cancer or tumor.

Abstract: A method for assessing drug-resistant Klebsiella pneumoniae includes the following steps. A test sample is provided, wherein the test sample includes a Klebsiella pneumoniae. A spectrum analysis step is performed, wherein the test sample is detected by a mass spectrometry method so as to obtain a target mass spectrum data. An assessing step for drug-resistant Klebsiella pneumoniae is performed, wherein the target mass spectrum data is analyzed so as to assess whether the Klebsiella pneumoniae is resistant to a carbapenem antibiotic or a colistin or not. When the Klebsiella pneumoniae is resistant to the carbapenem antibiotic, the target mass spectrum data includes a first anti-carbapenem feature mark, and when the Klebsiella pneumoniae is resistant to the colistin, the target mass spectrum data includes a first anti-colistin feature mark.

Abstract: The present disclosure provides an anti-T-cell nanobody that specifically binds to CD3 ?. The present disclosure also provides the nucleic acid sequence of the anti-T-cell nanobody, use of the anti-T-cell nanobody for treating cancer, immunoregulation and activating immune cells, and a method for detecting expression levels of CD3 ?.

Abstract: The present disclosure provides an immunomodulation and anti-tumor-related nanobody that specifically binds to a human leukocyte antigen-G, a programmed cell death ligand 1, and CD3 ?. The present disclosure also provides the nucleic acid sequence of the immunomodulation and anti-tumor-related nanobody, and use of the immunomodulation and anti-tumor-related nanobody for treating cancer and immune-related disorders.

Abstract: A method for producing exosomes in a large-scale by using a cyclic tensile bioreactor to stimulate cells to release exosomes. In addition, the exosome having an anti-HLA-G protein specific for cancer is used as a delivery vehicle to deliver therapeutic agents for treating cancer.

Abstract: The present disclosure provides an anti-immune-checkpoint nanobody that specifically binds to a programmed cell death ligand 1. The present disclosure also provides the nucleic acid sequence of the anti-immune-checkpoint nanobody, use of the anti-immune-checkpoint nanobody for treating cancer and immune-related disorders, and a method for detecting expression levels of PD-L1.

Abstract: A multispecific nanobodies chimeric antigen receptor and T-cell engager includes an HLA-G nanobody chimeric antigen receptor and a bispecific T-cell engager. The HLA-G nanobody chimeric antigen receptor includes an HLA-G nanobodies unit, a transmembrane domain, and a CD3z signaling domain. The bispecific T-cell engager includes a PD-L1 nanobodies unit and a CD3e nanobody.

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: Present invention is related to a tumor microenvironment on chip or a biochip for cell therapy having a carrier, a first cell or tissue culture area and a second cell or tissue area imbedded within the carrier. The present invention provides a biochip successfully cooperating micro fluidic technology and cell culture achieving the goal for detecting or testing the function of cell therapy for cancer or tumor.

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

Abstract: The present disclosure provides an anti-T-cell nanobody that specifically binds to CD3 ?. The present disclosure also provides the nucleic acid sequence of the anti-T-cell nanobody, use of the anti-T-cell nanobody for treating cancer, immunoregulation and activating immune cells, and a method for detecting expression levels of CD3 ?.

Abstract: The present disclosure provides an anti-tumor antigen nanobody that specifically binds to a human leukocyte antigen-G. The present disclosure also provides the nucleic acid sequence of the anti-tumor antigen nanobody, use of the anti-tumor antigen nanobody for treating cancer and immune-related disorders, and a method for detecting expression levels of HLA-G.

Abstract: The present disclosure provides an anti-immune-checkpoint nanobody that specifically binds to a programmed cell death ligand 1. The present disclosure also provides the nucleic acid sequence of the anti-immune-checkpoint nanobody, use of the anti-immune-checkpoint nanobody for treating cancer and immune-related disorders, and a method for detecting expression levels of PD-L1.

Abstract: The present disclosure provides an immunomodulation and anti-tumor-related nanobody that specifically binds to a human leukocyte antigen-G, a programmed cell death ligand 1, and CD3 ?. The present disclosure also provides the nucleic acid sequence of the immunomodulation and anti-tumor-related nanobody, and use of the immunomodulation and anti-tumor-related nanobody for treating cancer and immune-related disorders.

Abstract: Disclosed is a method for identifying methicillin-resistant Staphylococcus aureus through detection a mass signal at m/z of 6580-6600 in the MALDI-TOF mass spectrum. Also disclosed is a novel peptide biomarker, which consists of SEQ NO ID:5 and the use thereof for detection and/or identification of methicillin-resistant Staphylococcus aureus.

Abstract: Disclosed is a method for identifying methicillin-resistant Staphylococcus aureus through detection a mass signal at m/z of 6580-6600 in the MALDI-TOF mass spectrum. Also disclosed is a novel peptide biomarker, which consists of SEQ NO ID:5 and the use thereof for detection and/or identification of methicillin-resistant Staphylococcus aureus.