31 results about "Myeloid tissue" patented technology

The invention belongs to the technical field of medical image processing, and provides a bone marrow cell WSI region-of-interest automatic analysis positioning method and system, and the method comprises the steps: obtaining a full glass slide bone marrow aspiration smear image (WSI); a pyramid network is adopted to zoom the full-glass-slide bone marrow aspiration smear image, and a low-resolution image is generated; designing a general area condition prompt strategy by combining bone marrow cytology medical priori knowledge, and calling a language model to construct text description of a bone marrow microparticle area for the low-resolution image; using a visual language model to align the text and the low-resolution image, and then adopting a feature visualization technology and based on gradient weighted channel selection to generate a semantic response graph; the dispersion degree of a semantic response region in the semantic response graph is calculated, and segmentation prompt information is generated by adopting a region perception and strategy self-adaption mechanism; and inputting segmentation prompt information and the low-resolution image into an SAM model, generating an ROI mask image through reasoning, and completing positioning of the bone marrow cell WSI region of interest.

The present invention relates to a computer-implemented method for producing a trained model for detecting one or more defined cell types and / or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from a sample of a body liquid, bone marrow, cytology smear or slide preparations, in particular a blood smear sample. It relates also to a computer-implemented method for detecting one or more defined cell types and / or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from a sample of a body liquid, bone marrow or cytology smear, in particular a blood smear sample.

The invention discloses a staurosporine glucoside derivative as well as a preparation method and application thereof, and belongs to the field of medicine synthesis. C3-NHCH3 of staurosporine is subjected to glycosylation modification, and the staurosporine glycoside derivative shown in the formula (I) is prepared. The glycoside derivative prepared by the invention has a better inhibition effect on human acute myeloid leukemia cells THP-1, human bladder cancer cells 5637, human colon cancer cells HCT-116, human pancreatic cancer cells PATU8988T and human liver cancer cells HuH-7, and the compound 5 also has an excellent inhibition effect on human gastric cancer cells MKN-45. A candidate compound is provided for development of drugs for bladder cancer, colon cancer, pancreatic cancer, liver cancer, stomach cancer or acute myeloid leukemia.

The present application relates to the technical field of traditional Chinese medicine, in particular to a traditional Chinese medicine composition for reducing adverse reactions after radiotherapy and chemotherapy of tumor patients and a preparation method thereof, comprising the following components in parts by weight: Radix Bupleuri 6-9 parts, Radix Paeoniae Alba 6-9 parts, Rhizoma Atractylodis Macrocephalae 6-9 parts, Poria 6-9 parts, Angelica sinensis 6-9 parts, Zingiber officinale 3 parts, Radix Rehmanniae Recens 3-6 parts, Gardenia 3-6 parts, Radix Paeoniae Rubra 3-6 parts, Radix Paeoniae Alba 12-20 parts, Rhizoma Chuanxiong 6 parts, and Radix Glycyrrhizae 3-6 parts; the traditional Chinese medicine composition can improve the spirit and movement state of mice, and the weight and food intake of mice are obviously increased, the number of dead mice is significantly reduced, and the tumor volume and weight of mice are significantly reduced; the spleen and thymus indexes, the number of white blood cells, red blood cells and platelets in peripheral blood, and the hemoglobin content are all significantly increased; the number of bone marrow cells and the CD4 + T / CD8 + T cell ratio in peripheral blood are all significantly increased; when applied to clinical patients, the traditional Chinese medicine composition can reduce adverse reactions after radiotherapy and chemotherapy of tumor patients, and has a broad application prospect.

The application discloses a bone marrow morphology acute event identification early warning system and relates to the technical field of intelligent medical treatment, and the technical solution points are as follows: acquiring bone marrow cell image data, pre-processing, obtaining pre-processed image data; inputting the pre-processed image data into a trained AI model, and outputting a classification prediction result. The application can more accurately identify and classify bone marrow cells by applying a visual Transformer and a visual Mamba model, can identify different cell development stages, and can diagnose various blood diseases through an AI model standardized analysis process, reduce professional barriers in the field of bone marrow morphology, reduce absolute dependence on expert experience, and enable areas with insufficient medical conditions to also obtain high-quality preliminary diagnosis.

The application discloses a kind of bone marrow cell few sample classification method, system and electronic equipment, method includes: obtaining bone marrow cell dataset, constructs few sample training set and test set establishes the multi-scale multi-modal few sample classification network model based on text multi-source generation selection;According to the few sample training set, the few sample classification network model is trained, and the trained bone marrow cell classification network model is obtained;The bone marrow cell image of test is input into the bone marrow cell classification network model, and the prediction class of bone marrow cell image is obtained, realizes the bone marrow cell image classification under the condition of few sample training.The present application selects histopathology pre-training model for bone marrow cell classification, and designs text multi-source generation selection module, standardizes the semantic description of each category of bone marrow cell, and further improves the few sample classification accuracy of bone marrow cell, which can be widely applied in the field of computer vision technology.

The invention provides a chimeric antigen receptor for treating acute myeloid leukemia, a cell, a nucleotide sequence of the cell, a recombinant expression vector and a pharmaceutical composition. The chimeric antigen receptor targets acute myelogenous leukemia tumor cells and stromal cells around the acute myelogenous leukemia tumor cells at the same time. The invention creates a novel double-targeting CAR structure, and provides a CAR-T cell which is used for treating acute myeloid leukemia and is double-targeted to CLL1 and CD146, and AML cells and stromal cells forming an AML microenvironment can be removed at the same time.

The invention relates to the crossing field of medical image processing and artificial intelligence technology, in particular to a bone marrow cell morphology artificial intelligence analysis method and system, and the method comprises the steps: obtaining a multi-view high-resolution image of a bone marrow smear and / or a peripheral blood smear under the oil immersion magnification, and carrying out the preprocessing; carrying out red blood cell coarse segmentation and fine classification through a cascade deep network, and identifying target-shaped, broken, teardrop-shaped and elliptical red blood cells; correcting broken red blood cell counting by adopting a fragment aggregation correction algorithm; and calculating an MCI value in combination with blood routine test data, and carrying out weighted fusion on the MCI value and the abnormal red blood cell proportion to generate a thalassemia screening comprehensive score. Therefore, the problems of low manual identification efficiency, insufficient abnormal red blood cell identification accuracy, large broken red blood cell counting deviation, difficulty in distinguishing multiple types of abnormal red blood cells, lack of organic combination with clinical diagnosis indexes and the like are solved, and the efficiency and accuracy of morphological analysis of bone marrow cells are improved; and a reliable basis is provided for diagnosis of diseases such as thalassemia.

The present invention relates to a computer-implemented method for producing a trained model for detecting one or more defined cell types and / or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from a sample of a body liquid, bone marrow, cytology smear or slide preparations, in particular a blood smear sample. It relates also to a computer-implemented method for classifying a sample of a body liquid, bone marrow or cytology smear, in particular a blood smear sample, as indicative or non-indicative of one or more defined cell types and / or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from the sample.

Provided herein are antibodies that bind signal regulatory protein gamma (SIRPy), as well as SIRPα and / or SIRPβ1, and methods of using such antibodies (referred to as SIRP antibodies). In some embodiments, the SIRP antibodies are human monoclonal antibodies that bind human SIRPy as well as SIRPα and / or SIRPβ1. In some embodiments, the SIRP antibodies provided herein are useful for treating a disease or condition associated with overactivation and / or hyperproliferation of lymphocytes, myeloid cells, or a combination thereof, or a disease or condition associated with SIRPα, SIRPβ1 and / or SIRPy activity.

The application discloses a mouse bone marrow mesenchymal stem cell separation method, which comprises the following steps: S1, extracting mouse bone marrow cells; S2, performing flow staining, specifically comprising the following sub-steps: resuspending the mouse bone marrow cells by using Hanks buffer solution containing FBS to obtain a mouse bone marrow cell suspension, performing specific blocking treatment on the mouse bone marrow cell suspension, adding a fluorescently labeled monoclonal antibody to the mouse bone marrow cell suspension after centrifugation, washing and resuspension, and incubating to obtain the flow-stained mouse bone marrow cells; the fluorescently labeled monoclonal antibody comprises Anti-CD140a-APC, Anti-CD45-PE, Anti-Sca-1-FITC and Anti-Ter119-PE; S3, performing flow sorting on the flow-stained mouse bone marrow cells, sorting PE ‑ , FITC + , APC + cell groups by using a flow cytometer to obtain mouse bone marrow mesenchymal stem cells. The application can more efficiently and stably separate mouse bone marrow mesenchymal stem cells.

The present disclosure provides methods for making bone marrow hematopoietic progenitors lacking NF-κB p50 protein subunit (p50) and STAT6, or bone marrow hematopoietic progenitors lacking NF-κB p50 protein subunit and NF-κB p52 protein subunit. The progenitor cells are expanded, exposed to a myeloid cytokine, and provided intravenously to treat various malignancies. The infused cells have the potential to generate mature granulocytes, monocytes, macrophages, and dendritic cells. Methods for the genetically manipulation of a subject's hematopoietic progenitors during the expansion phase to reduce or eliminate expression of p50, p52, and / or STAT6 are also contemplated, and these progenitor cells may be combined with other therapeutic agents to maximize efficacy.

The invention provides a preparation method of an experimental animal bone marrow smear, and belongs to the technical field of hematological examination. According to the invention, a specific smear method is matched with homologous serum, so that the mechanical damage of bone marrow cells in the collection and smear preparation process can be obviously reduced, and the phenomena of excessive crushing and uneven distribution of the cells are effectively avoided, so that the high-quality bone marrow smear with complete cell morphology and clear background is prepared; therefore, the morphological observation effect and the reading success rate of the bone marrow cells are directly improved, reliable technical guarantee is provided for accurately evaluating the influence of the test substance on the hematopoietic function of the animal in non-clinical toxicity research, and the accuracy and repeatability of experimental results are enhanced.

This invention discloses a method for identifying bone marrow cells from microscopic images based on feature fusion, comprising: acquiring labeled microscopic images of bone marrow cells to construct a dataset, dividing it into a training set and a test set; performing data augmentation on the images in the training set to obtain an augmented training set; feeding the augmented training set into an improved Mask R-CNN network for training to obtain an optimal model; inputting the test set into the optimal model to obtain prediction information, including: the location bounding box, category, and segmentation mask information of each bone marrow cell; drawing this information onto the original image; and marking the predicted bone marrow cell category above the location bounding box, thereby completing the identification of bone marrow cells. This invention improves the generalization of bone marrow cell image recognition across various color styles.

This utility model relates to a semi-automatic bone marrow cell morphology slide washing instrument, comprising: a washing chamber with multiple slots for holding slides; and a robotic arm equipped with a washing head for driving the washing head to move. By holding the slides in the slots and using the robotic arm to drive the washing head, the water flow and angle can be controlled, reducing cell detachment. The closed washing chamber design allows the operator to have zero contact with the staining solution, improving operational safety. Multiple slides can be processed at a time, increasing washing efficiency.

The application discloses application of circular RNA hsa_circ_0012152 as a therapeutic target in preparation of a medicine for treating acute myelocytic leukemia of children.

The application provides a method for automatically segmenting white blood cells in bone marrow cells, comprising the following steps: S1, extracting obvious cells CellGray from an input bone marrow cell rgb image through a convolutional neural network; S2, binarizing the bone marrow cell image CellGray to obtain a white blood cell nucleus binary image; S3, performing an opening and closing operation on the white blood cell nucleus binary image in the aspect of image morphology to obtain WhiteCellMorph, and performing a watershed algorithm operation on WhiteCellMorph to obtain a white blood cell nucleus segmentation image Leukocytenucleus; S4, shielding corresponding numbers in the CellGray data obtained in step S1 by using the Leukocytenucleus obtained in step S3, and obtaining a white blood cell membrane Leukocytemembrane by using an Otsu method and an opening and closing operation in the aspect of image morphology; and S5, combining the data obtained in steps S3 and S4 to obtain a segmented complete white blood cell image, extracting an accurate position of the white blood cell, and generating a standard data set. The application can effectively improve the accuracy of overall positioning and segmentation of white blood cell images, and generate a data set, thereby facilitating the development of artificial intelligence for subsequent white blood cell type recognition.

This invention describes new methods for the mobilization of human cells such as hematopoietic stem cells in bone marrow, and the subsequent collection of such cells from the peripheral blood of deceased donors. These methods produce quantities of hematopoietic stem cells that can be used in a multitude of possible applications without harming the deceased donor or the recovery of the deceased donor's organs for solid organ transplantation. The methods involve the administration of one or more mobilizing agents to mobilize bone marrow cells into the peripheral blood cells followed by the collection of cells via apheresis.

The invention discloses humanized lactobacillus johnsonii MYR-117 and application thereof, the preservation number of the humanized lactobacillus johnsonii MYR-117 is GDMCC No: 65346, the humanized lactobacillus johnsonii MYR-117 is separated and identified from a faeces sample of a healthy person, and a mouse myelosuppression model is further combined to find that the lactobacillus johnsonii can resist myelosuppression induced by cyclophosphamide, so that the lactobacillus johnsonii MYR-117 can be used for resisting myelosuppression induced by cyclophosphamide; the levels of white blood cells, hemoglobin, platelets and red blood cells can be increased, bone marrow cell apoptosis is reduced, the thighbone marrow form is recovered, and the bone marrow hematopoietic capacity is Therefore, the compound can be used for preparing anti-myelosuppression drugs, leukocyte increasing drugs, erythrocyte increasing drugs, chemotherapy adjuvant therapy drugs and health-care products. Meanwhile, as the lactobacillus johnsonii is edible probiotics, the lactobacillus johnsonii can be used for preparing health-care food.

The invention discloses a biomarker combination for predicting survival prognosis of an acute myeloid leukemia patient and application of the biomarker combination, and belongs to the technical field of molecular biomedicine. It is found for the first time that the specific N-sugar chain level in a blood sample during definite diagnosis of an AML patient is significantly related to survival prognosis. Through the screened N-carbohydrate chain marker, a Cox regression analysis is utilized to construct an AML prognosis prediction scoring system (AML-GPSS). According to the system, prognosis scores are obtained through a quantitative calculation formula, and patients are divided into different prognosis risk groups according to a preset critical value. The invention provides a brand-new prognosis prediction model based on a protein post-translational modification function, a detection sample is easy to obtain, and the method is stable; an important bioinformatics tool and a new clinical practice scheme are provided for making up for the defects of an existing cytogenetics layering system and achieving early-stage accurate risk layering and individualized treatment decision making of AML patients.

The application belongs to the field of organic synthesis and medicinal chemistry, and particularly relates to a kind of indole carbazole glycoside alkaloids and a preparation method and application in anti-leukemia drugs thereof.The indole carbazole glycoside alkaloids or pharmaceutically acceptable salt thereof, structure as shown in formula 1-4:Pharmacological test proves that the indole carbazole glycoside alkaloids shown in formula 1-4 have anti-leukemia activity, and can be used for preparing anti-myelocytic leukemia, anti-myelomonocytic leukemia, anti-lymphocyte leukemia drugs.

The invention provides an MDS malignant transformation risk assessment method based on machine learning and bone marrow cell morphology, and the method comprises the steps: S101, building a myelodysplastic syndrome (MDS) malignant transformation risk assessment model based on bone marrow morphology cell characteristics; s102, acquiring a bone marrow smear image of the MDS patient, identifying the bone marrow smear image, obtaining proportion data of the target type of bone marrow cells, and recording the proportion data as bone marrow cell type proportion data; s103, inputting the bone marrow cell type proportion data into an MDS malignant transformation risk assessment model, and calculating and outputting a risk assessment score of transformation from MDS to acute myelogenous leukemia (AML) of the patient; and S104, the patients are grouped according to the risk assessment scores, and a treatment scheme is recommended. The method has the advantages that the basic level is easy to obtain, the needed economic cost is low, calculation is convenient and the like, medical personnel can be assisted in optimizing treatment decisions, and the survival rate of high-risk patients is improved.

The application belongs to the technical field of biomedicine, and discloses a construction method of a mouse model simulating senile osteoarthritis and application thereof, wherein mouse bone marrow cells are induced to differentiate into bone marrow-derived macrophages in vitro, the macrophages are treated with an induction medium containing 100nM doxorubicin for 2 days, and then cultured in a conventional medium for 5 days to obtain senescent macrophages with a stable senescence phenotype; 1x10 6 The senescent macrophages are injected into the knee joint cavity of a mouse once a week for a total of 4 times to induce chronic low-grade inflammation and characteristic osteoarthritis lesions in the joint. The model constructed by the application has high pathological simulation degree, good repeatability, and a modeling cycle of only 4 weeks, thereby reducing the interference of acute injury factors, and can be widely applied to the research on pathogenesis of senile osteoarthritis, screening of therapeutic targets, and evaluation of the efficacy of candidate drugs.

The application relates to the field of biological medicine, and particularly relates to application of an EGFR inhibitor in preparation of a medicine for reversing acute myeloid leukemia venetoclax drug resistance. Experimental results show that combination of osimertinib and venetoclax can significantly reduce tumor load of a venetoclax drug resistance model mouse, and obviously prolong survival time. It is shown that the combination can effectively reverse the venetoclax drug resistance, and provides a new way for the acute myeloid leukemia venetoclax drug resistance.

The invention belongs to the technical field of cell culture, and discloses a bone marrow cell culture medium and a preparation method thereof, and a method for in-vitro culture of bone marrow cells, the bone marrow cell culture medium is composed of a basic culture medium, streptomycin, gentamicin, a platelet lysis buffer, and glutamate enzyme; the final concentration of streptomycin is 50-100 [mu] g / mL, the final concentration of gentamicin is 20-50 [mu] g / mL, the final concentration of platelet lysate is 5-15% (v / v), and the final concentration of glutamate enzyme is 0.1-1 mmol / L. The bone marrow cell culture medium can efficiently support in-vitro proliferation of bone marrow cells, through specific combination and appropriate concentration control of the culture medium, the medium-term cell acquisition amount can be remarkably increased, and medium-term cell chromosomes are complete in morphology and good in dispersity; the standard requirements of clinical bone marrow cell chromosome karyotype analysis, blood disease diagnosis and cell genetics experiments in the scientific research field can be met.

The invention discloses an application of combination of IPI549 and BMN673 in treatment of leukemia. The invention finds that the combination of the PI3K p110 gamma inhibitor and the PARP inhibitor has a synergistic effect on the treatment of mixed lineage acute myeloid leukemia (MLL type AML), and through the combination, the inhibition effect of the drug on the proliferation and cloning of MLL type AML cells can be remarkably improved, and the apoptosis and differentiation of the MLL type AML cells are promoted, so that the treatment effect on the MLL type AML is remarkably improved. The invention provides a brand new treatment scheme for the technical field of MLL type AML treatment, and has important scientific significance and clinical application value.

The present application relates to a method for improving the accuracy of in vivo cell tracking using iron chelators, comprising the following steps: S1, preparing drug materials; S2, preparing animals and cells: preparing bone marrow cells, S3, removing free iron chelators in vivo 89 Zr and 68 Ga, S4, radiolabeling mesenchymal stem cells and bone marrow cells; S5, performing Micro-PET imaging: S6, performing Micro-PET imaging data processing and analysis: S7, in vitro biodistribution; S8, performing pharmacokinetic studies; S9, extracting hAlu genomic DNA and performing qPCR detection; S10, establishing a standard curve of cell number and cycle threshold; S11, performing absorbed dose estimation; S12, performing in vitro cell experiments; S13, final statistical analysis. The present application provides a method for improving the accuracy of in vivo cell tracking using iron chelators, which realizes the effect of removing free radioactive metal ions in vivo using iron chelators, and ensures the accuracy of in vivo tracking labeled cells.

The present invention relates to an anti-ILT7 antibody and a myeloid cell engager antibody targeting ILT7 and CD89. Further provided in the present invention are a method for preparing the anti-ILT7 antibody and the myeloid cell engager antibody, and a method for treating or preventing a disease using the antibody.

This application provides a method, system, device, medium, and program product for analyzing bone marrow metastases in neuroblastoma, relating to the fields of intelligent medical image analysis and artificial intelligence-assisted diagnosis. The application includes: obtaining digitized whole-slice images of bone marrow cells from bone marrow cytological smears and preprocessing these images; preprocessing the whole-slice images to obtain bone marrow cell image blocks; weighting the bone marrow cell image blocks to obtain bone marrow cell feature images; wherein, the weighting processing includes feature extraction from the bone marrow cell image blocks to obtain corresponding feature vectors, employing multi-instance learning to represent the feature vectors at the whole-slice level to obtain bone marrow cell feature images; and classifying the bone marrow cell feature images to obtain corresponding classification results. This application achieves effective fusion from local cytological features to whole-slice-level diagnostic results through a multi-instance learning aggregation module.