65 results about "Myeloid tissue" patented technology

The invention belongs to the technical field of biological genetic engineering, and relates to a high-risk myelodysplastic syndrome screening gene and a diagnostic kit thereof. The invention provides an application of detecting YTHDF2, METTL3 and NAT10 gene expression of bone marrow cells of high-risk MDS patients as a specific molecular marker for screening the high-risk myelodysplastic syndrome, and by detecting mRNA expression levels of the YTHDF2, METTL3 and NAT10 genes, the screening of the patients in the high-risk myelodysplastic syndrome is facilitated. Meanwhile, treatment and prognosis evaluation of patients with high-risk myelodysplastic syndromes can be better guided. Only the bone marrow fluid of the patient needs to be extracted and collected during bone marrow cytology examination of the patient, the patient compliance is good, the bone marrow fluid is selected from human bone marrow fluid mononuclear cells, the detection result is more accurate, and the method is suitable for clinical large-scale application.

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 disclosure provides human CD33 antibodies and antibody glucocorticoid receptor agonist conjugates and methods of using the conjugates in the treatment of bone marrow cell related diseases.

The present invention relates to methods and compositions for the treatment of BAF-related disorders such as acute myeloid leukemia.

The present invention belongs to the field of biomedicine, and specifically relates to a prognostic model for predicting the overall survival rate of AML patients based on 9 fatty acid metabolism-related genes. The present invention analyzed the gene expression profiles of 354 AML patients from TCGA and VIZOME, determined the prognosis-related genes based on the fatty acid metabolism-related genes of the TCGA dataset using univariate Cox regression analysis and survival analysis, and established a prognostic model with 9 fatty acid-related genes. This model can evaluate the prognosis of AML patients more specifically and sensitively. Then, using a nomogram, the fatty acid metabolism gene prognostic model, age, and cytogenetic risk degree were integrated into a scoring system to more accurately predict the survival of AML patients, with broad clinical application prospects.

The present invention belongs to the field of biological genetic engineering technology and relates to high-risk myelodysplastic syndrome screening genes and diagnostic kits. The present invention provides an application of detecting the expression of YTHDF2, METTL3, and NAT10 genes in bone marrow cells of high-risk MDS patients as a specific molecular marker for screening high-risk myelodysplastic syndrome. By detecting the expression levels of YTHDF2, METTL3, and NAT10 genes mRNA, it helps to screen patients with high-risk myelodysplastic syndrome and better guide the treatment and prognosis evaluation of patients with high-risk myelodysplastic syndrome. The present invention only needs to extract the patient's bone marrow fluid and collect it together when the patient undergoes bone marrow cytology examination. The patient compliance is good, and the material is taken from human bone marrow fluid mononuclear cells. The test results are more accurate and suitable for large-scale clinical application.

The invention discloses a mandarin fish medullary tissue cell line and a construction method and application thereof. The invention belongs to the technical field of aquatic organism cells, and discloses a mandarin fish medulla oblongata cell line MFSB, which is preserved in China Center for Type Culture Collection on December 4, 2024, has a preservation number of CCTCC NO: C2024376, and is named as mandarin fish medulla oblongata cell line MFSB. The construction method comprises the steps of primary culture of mandarin fish medulla oblongata tissue cells, subculture, cryopreservation and resuscitation of the cells and the like, and the mandarin fish medulla oblongata cell line MFSB has the advantages of stable subculture, strong cell line division ability, fast growth speed and good stability, can be used as a cell model or an experimental tool to be applied to scientific research and animal genetic breeding, and has wide application prospects. The probe has broad-spectrum sensitivity to mandarin fish infectious spleen and kidney necrosis virus, mandarin fish double-segment RNA virus, mandarin fish frog iridovirus and mandarin fish rhabdovirus, and can be well applied to separation, culture and detection of mandarin fish virus and research and development of vaccines.

The invention discloses a microscopic image bone marrow cell recognition method based on feature mixing, which comprises the following steps: acquiring a marked bone marrow cell microscopic image to construct a data set, and dividing the data set into a training set and a test set; performing data enhancement on the images in the training set to obtain an enhanced training set; the enhanced training set is sent to the improved Mask R-CNN network for training, and an optimal model is obtained; and inputting the test set into the optimal model to obtain prediction information, including position frame, category and segmentation mask information of each bone marrow cell, drawing the information on an original image, and marking the predicted bone marrow cell category above the position frame, thereby completing identification of the bone marrow cells. According to the invention, the identification generalization of bone marrow cell images with various color styles is improved.

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 belongs to the technical field of cell sampling, and particularly relates to a skull bone marrow cell sampling device which comprises a base, a sampling vessel is in contact with the middle of the upper end of the base, a supporting frame is fixedly connected to the upper end of the base, a supporting block is fixedly connected to the inner side wall of the supporting frame, and a clamping groove is formed in the surface of the supporting block. And the inner wall of the supporting block is connected with a screw rod through threads, and the upper end of the screw rod is fixedly connected with an extrusion disc. According to the scheme, through the arrangement of the rotating handle, the screw rod, the extrusion disc and other structures, the skull can be fixed for use, under the telescopic action of the hydraulic cylinder, the positions of the electric drill and the flushing needle can be vertically adjusted, then the skull is drilled and flushed for subsequent sampling use, and through the arrangement of the positioning holes, the positioning balls and other structures, the skull can be conveniently and rapidly used. The positions of the electric drill and the flushing needle can be transversely adjusted, and the drilling position can be adjusted for use, so that the flushing and sampling effects are improved.

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.

This invention discloses a bone marrow cell paraffin block, its preparation method, and its application, belonging to the field of pathological detection technology. The preparation method includes the following steps: Red blood cell lysis: Bone marrow aspirate is taken, and a precipitate containing cells and sediment is separated. A red blood cell lysis agent is added to lyse the red blood cells, and a lysed precipitate containing unlysed cells and sediment is separated. Formation: The lysed precipitate is resuspended in formalin solution for fixation, the supernatant is removed, and the precipitate is resuspended in agar solution. The agar is cooled and solidified, and then fixed again in neutral formalin. Dehydration: The solidified agar block is dehydrated. Embedding: The dehydrated agar block is embedded in paraffin to form a paraffin block. The cell paraffin block prepared by this method can supplement the diagnosis when bone marrow smears or bone marrow biopsy samples are not ideally prepared.

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 invention discloses a bone marrow smear preparation method based on air source purging, system equipment and a medium, and relates to the technical field of medical examination and cell preparation, and the method comprises the following steps: obtaining and processing a bone marrow cell sample to form a cell suspension; applying the cell suspension to a glass slide, and performing directional treatment on the cell suspension in an air source purging manner; fixing and dyeing the bone marrow smear which is formed by blowing through an air source, so as to complete the smear preparation operation of the bone marrow smear. According to the method, smear quality fluctuation caused by sample state difference is remarkably reduced, a uniform basic suspension condition is provided for stable development of subsequent airflow purging, smear preparation consistency and reproducibility are optimized from the source, smear region distribution quality improvement and stable acquisition of morphological analysis results are achieved, and the method is suitable for large-scale popularization and application. The dyeing uniformity and the color development consistency are improved, and better effects are achieved in the aspects of cell resuspension uniformity, cell spreading consistency and film production process standardization.

The present disclosure generally relates to the treatment of subjects having myeloid cell dysfunction or at risk of developing myeloid cell dysfunction by administering a Membrane Spanning 4-Domains A6A (MS4A6A) inhibitor and / or a Membrane Spanning 4-Domains A64A (MS4A4A) inhibitor to the subject.

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.

Methods of treating acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS) are provided, as are compositions and combinations suitable for use in said methods.

The invention relates to the technical field of compounds, in particular to VHL derivatives and application thereof in preparation of SMARCA2 degradation agents. Specifically, the invention discloses a compound as shown in a chemical structural formula I, a tautomer, an enantiomer, a diastereoisomer and pharmaceutically acceptable salts, solvates or hydrates thereof. The compound or a pharmaceutical composition containing the compound can be used for preparing a PROTACS degradation agent aiming at an SMARCA2 target spot, and particularly preparing medicines for treating acute myeloid leukemia, myelodysplastic syndrome, uveal melanoma and the like. # imgabs0 #

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.

The invention relates to the technical field of medical image processing, in particular to a blood disease classification-oriented bone marrow cell multi-scale identification method, which comprises the following steps of: constructing and training a bone marrow cell identification model, and inputting an image to be identified into the trained bone marrow cell identification model to obtain an identification result; the bone marrow cell recognition model comprises a hierarchical feature extraction module, a feature enhancement module, a class center learning framework module and a multi-layer perceptron; compared with an existing model, the classification number and accuracy of cell classification are improved, preliminary diagnosis of hematologic tumor diseases can be achieved in an auxiliary mode, and the examination time is shortened.

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 invention relates to compounds for treating acute myeloid leukemia or inhibiting the recurrence of acute myeloid leukemia, and for inhibiting the growth of and / or killing leukemia 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.

The present invention discloses a bone marrow cell image intelligent detection system and method, and specifically relates to the technical field of image detection. By acquiring bone marrow cell images and annotating and preprocessing them, important features such as cell boundary fuzziness and color difference are extracted, and these features are used as inputs, a machine learning model is used to calculate the accuracy of a CNN model in distinguishing leukemia cell morphology. For inaccurate distinction results, the present invention further optimizes the model training process by dynamically adjusting the number of samples, especially for cell morphology and endoplasmic features at different detection stages, thereby effectively solving the problem of misclassification of leukemia cells and normal cells in the case of similar morphology, and improving the overall accuracy and robustness of the model.