1410 results about "Stem like cell" patented technology

The invention discloses a stem cell fusion degree detection method and system based on artificial intelligence, and a storage medium. The method comprises the following steps: carrying out image preprocessing on a cell microscope image; automatically calculating an optimal threshold value by using an image threshold value segmentation algorithm to obtain a cytoplasm mask; median filtering is carried out on the original image to reduce noise, then an adaptive threshold segmentation method is adopted, a local threshold is calculated according to local area gray level distribution, and a cell nucleus binary image is generated; performing connected region marking on the cell nucleus binary image, calculating the area attribute of each region, and performing filtering according to a cell nucleus removal ratio parameter to obtain a cell nucleus mask; performing logic OR operation on the cytoplasm mask and the cell nucleus mask to obtain a complete cell segmentation result; and calculating the fusion degree of the stem cells based on the cell segmentation result. Therefore, the problems of accuracy and consistency of judging the fusion degree of the stem cells by observing microscope images with human eyes in the prior art are solved, and accurate detection of the fusion degree of the stem cells is realized.

The invention relates to the technical field of biomedicine, in particular to stem cell exosome-loaded bi-crosslinked hydrogel as well as preparation and application thereof, and the bi-crosslinked hydrogel comprises the following components in parts by weight: 50-90 parts of a matrix polymer; 0.1 to 5 parts of an active load; 1 to 10 parts of cyclodextrin; 5 to 20 parts of modified chitosan; 0.01 to 1 part of a photoinitiator; and 0.01 to 0.5 part of growth factors. Through double-network design of physical / chemical primary cross-linking and photo-initiation secondary cross-linking, the bottleneck that the mechanical property and the machinability of the traditional single cross-linking hydrogel are difficult to consider at the same time is overcome; meanwhile, the human umbilical vein endothelial cell exosome is introduced, and efficient loading, uniform dispersion and degradation coupling slow release of the exosome are realized by virtue of beta-cyclodextrin inclusion and a double-crosslinking network. Therefore, the problems of mechanics, degradation, cross-linking speed or tissue adhesion of cross-linked hydrogel in the prior art are solved.

The invention discloses a stem cell preparation for improving function degeneration of prostatitis and a preparation method and application thereof, and relates to the technical field of stem cells, the stem cell preparation is prepared from mesenchymal stem cells UC-MSCs and ADSCs according to the cell concentration ratio of 1: 2, hyaluronic acid hydrogel is used as a delivery carrier, and the stem cell preparation is prepared from the mesenchymal stem cells UC-MSCs and ADSCs according to the cell concentration ratio of 1: 2. And two key auxiliary components of juniperus formosana extract and mulberry extract are introduced. Wherein the optimal combination of the UC-MSCs and the ADSCs significantly enhances the anti-inflammatory ability and the tissue regeneration effect; the hyaluronic acid hydrogel carrier system effectively improves the targeting delivery efficiency of the stem cells and prolongs the action time; the two natural active components of the juniperus formosana extract and the mulberry extract synergistically improve the local microenvironment of prostate and inhibit inflammatory response and fibrosis process. The stem cell preparation developed through a multi-component synergistic effect mechanism has the characteristics of high targeting property, lasting treatment effect, high safety and the like, and a new strategy is provided for clinical treatment of prostatitis.

The invention discloses an environment-emotion gradient association memristive neural network circuit based on a TAP cell regulation mechanism. The environment-emotion gradient association memristive neural network circuit is composed of a hippocampus module and an amygdala kernel module. The hippocampus module comprises an environment recognition neuron module and an emotion generation neuron module; the environment recognition neuron module and the emotion generation neuron module are each composed of a weight regulation and control module adj based on a TAP cell regulation mechanism, an adder, a memristor, a resistor, an operational amplifier, a function module ABM1 and a sampling holder. Wherein the weight regulation and control module adj is composed of a voltage-controlled switch, a summator, a function module ABM2 and a function module ABM3. The almond kernel module is composed of a weight regulation and control module adj, a memristor, a resistor, an operational amplifier and a sampling holder. The provided circuit simulates the hippocampus and amygdala nucleus of the brain in structure, the regulation principle of TAP cells on neural stem cells is used for reference in a weight regulation mechanism, and bidirectional gradient associated memory of the environment and the emotion can be achieved.

The invention discloses preparation and application of dual-network hydrogel. The dual-network hydrogel comprises the following components: (Z1) a spinal cord acellular matrix network DSM formed by self-assembly of a spinal cord acellular matrix dSECM; and (Z2) a metal-polyphenol network MPN formed by coordination of metal ions and polyphenols; wherein the DSM and the MPN are cross-linked through hydrogen bonds to jointly form a double-network structure. DSM provides a microenvironment suitable for cell survival and growth for the dual-network hydrogel and induces stem cells to differentiate into neurons, and MPN provides the dual-network hydrogel with biological effects of inhibiting inflammation and accumulation of reactive oxygen species (ROS). The dual-network hydrogel has the advantages of the two components, the active component neurotrophic factor and the inhibitor loaded on the dual-network hydrogel can regulate and control immune response after SCI, improve neuroinflammation microenvironment and promote nerve repair, and a new strategy is provided for in-situ tissue repair of SCI.

The invention discloses application of a stem cell exosome in treating depression-like behaviors caused by high-altitude hypoxia, and belongs to the technical field of biomedicine. The stem cell exosome is an exosome derived from human umbilical cord mesenchymal stem cells, and is used for drugs for preventing and / or treating depression-like behaviors caused by high-altitude hypoxia. The exosome can effectively improve depression-like core behavior symptoms caused by high-altitude hypoxia by regulating a brain-intestinal axis; the method starts from remodeling intestinal flora so as to influence the intracerebral metabolite spectrum, and finally plays a role in neuroprotection by regulating and controlling a 5-HT6 / cAMP-PKA key signal channel. In addition, the combination of the hUC-MSC-exo and probiotics shows synergistic interaction potential, and a potential treatment strategy which is novel in mechanism, remarkable in effect and high in safety is provided for the field.

The invention relates to the technical field of cell drug preparation process optimization, in particular to an umbilical cord stem cell drug preparation parameter optimization method utilizing machine learning, which comprises the following steps: preprocessing to generate a control input time sequence and an observation output time sequence, and forming a process instruction library; constructing an intervening state space model based on the two types of time sequences, and assimilating the intervening state space model; defining multiple targets and constraints, compiling a process, simulating on the model, determining a feasible region by combining statistical calibration and formalized verification, and generating a feasibility judgment function; and carrying out microparameterization on the process in the feasible region and optimizing under constraints, carrying out rolling solution according to a preset prediction window in the model prediction control framework, outputting an optimal process flow and a monitoring threshold value, and executing record backflow updating. According to the method, the replicability, the compliance and the cross-batch robustness of the process are enhanced.

The invention provides a method for producing cell culture meat through 3D scaffold-free co-culture of pseudosciaena crocea stem cell spheres, and belongs to the technical field of preparation of cell culture meat. A method for producing cell culture meat by 3D scaffold-free co-culture of pseudosciaena crocea stem cell spheres comprises the following steps: mixing and inoculating pseudosciaena crocea myoblasts and pseudosciaena crocea precursor adipocytes into a cell culture plate subjected to anti-adhesion treatment for proliferation culture, spontaneously gathering to form cell spheres, and carrying out differentiation culture to obtain the cell culture meat. According to the co-culture mode provided by the invention, high-efficiency myogenic differentiation and adipogenic differentiation of myoblasts and precursor adipocytes of the large yellow croakers can be realized through proliferation culture and differentiation culture, and an in-vivo microenvironment can be effectively simulated, so that cultured meat similar to a traditional meat product in texture and flavor is produced.

The invention provides a mesenchymal stem cell confluence degree calculation method and system based on image semantic segmentation, and the method comprises the steps: training a cell image semantic segmentation model through a training set, and carrying out the test screening of the trained cell image semantic segmentation model through a test set, obtaining an optimal cell image semantic segmentation model; performing preprocessing operation including scale transformation and gray level normalization on the to-be-calculated mesenchymal stem cell phase contrast microimage; and segmenting the to-be-calculated mesenchymal stem cell phase contrast microscopic image into cells and a background by using the optimal cell image semantic segmentation model, and summarizing and counting the pixel proportions of the segmented cells to obtain the mesenchymal stem cell confluence degree so as to realize automatic identification and separation of the mesenchymal stem cells. The method is used for assisting cell culture quality evaluation in medical and biological research.

The invention relates to the technical field of biological medicines and ophthalmic medicines, in particular to a herbal exosome composition for eye care and treatment and a preparation method thereof. The composition comprises a synergistic combination of herbal exosomes and mesenchymal stem cell exosomes, and further comprises a nano slow-release carrier system. Wherein the herbal exosome is extracted from a traditional herbal plant liquorice by combining gradient centrifugation with a molecular exclusion chromatography method, and herbal active ingredients, namely astragaloside and quercetin, are loaded in the exosome by adopting an electroporation method, so that the pharmacological activity of the exosome is enhanced. The nano slow-release carrier system is of a two-phase slow-release structure; an inner phase is a phospholipid complex loaded with herbal exosomes and mesenchymal stem cell exosomes, and an outer phase is temperature-sensitive hydrogel; the compound is in a liquid state at room temperature, and is rapidly converted into a gel state after being dropped into the ocular surface, so that the retention time of the medicine on the ocular surface is remarkably prolonged, the bioavailability is improved, and the targeting slow release capability aiming at ocular surface tissues is endowed to the compound.

The invention provides gelatin derivative microspheres coated with stem cell exosomes, a preparation method of the gelatin derivative microspheres and application of the gelatin derivative microspheres in preparation of external ophthalmic preparations, and relates to the technical field of medicines. The gelatin derivative microsphere mainly comprises a microsphere core and a shell, wherein the microsphere core is a stem cell exosome coated with a gelatin derivative; the shell is obtained by crosslinking a gelatin derivative and sodium hyaluronate. The gelatin derivative used in the invention not only has good compatibility with the stem cell exosome, but also has good dispersibility in tears or periorbital secretion after being prepared by crosslinking the gelatin derivative and sodium hyaluronate, so that the elimination of an eye protection mechanism to the microspheres can be reduced, and the slow release effect of the exosome can be improved; besides, the shell formed by the hyaluronic acid has a very good tackifying effect, so that the retention time of the gelatin derivative hyaluronic acid microspheres in eyes is prolonged, and the problem of burst release of the medicine is also avoided by virtue of the double-layer coated microsphere structure.

The invention relates to the cross technical field of biological medicine and image processing, and discloses a mesenchymal stem cell aging detection method based on image processing. The method comprises the following steps: automatically collecting bright field and multi-channel fluorescence images in an integrated cell culture monitoring device; after background correction and illumination homogenization, segmenting the cells by using a U-Net network and extracting single cell contours; calculating characteristics such as cell area, roundness, cytoplasmic ratio, nuclear form irregularity index, lysosome fluorescence intensity mean value and distribution entropy; and inputting a gradient boosting decision tree model to judge the unicellular aging state, and evaluating population aging with a 20% positive rate threshold. According to the invention, label-free, non-invasive and high-flux accurate detection is realized, and the method is superior to manual interpretation.

The invention discloses stem cell freeze-dried powder for promoting skin healing and a preparation method of the stem cell freeze-dried powder. The freeze-dried powder comprises an effective component, a freeze-drying protective agent group and a polymer protective agent group, the effective component is umbilical cord mesenchymal stem cell conditioned medium freeze-dried supernatant, the protective agent group is selected from one or more of cane sugar, trehalose, lactose and mannitol, and the polymer protective agent group is selected from one or more of polyvinylpyrrolidone (PVP) and glucan. The preparation method comprises the following steps: collection of a conditioned culture medium, preparation of a freeze-drying protective agent solution, mixing treatment, low-temperature pre-freezing and freeze-drying, collection and packaging of freeze-dried powder and the like. The method can effectively retain stem cell-derived active factors and enhance the stability and redissolvability of the freeze-dried powder, and is suitable for skin wound repair, regenerative medicine and other scenes.

The invention discloses a mouse lung organ and fibroblast co-culture method, which comprises the following steps of: performing in-vitro mouse lung organ culture on mouse lung tissue primary epithelial stem cell spheres (pneumospheroids) in a Transwell upper chamber, and after the lung organs in the Transwell upper chamber are differentiated, replacing with a lower chamber paved with mouse lung fibroblasts, therefore, a gas-liquid interface co-culture system of the mouse lung organ (upper chamber) and the fibroblast (lower chamber) is formed, and the hierarchical structure, morphological characteristics and regeneration function of the upper chamber organ and the phenotype, function and related signal path activation level of the lower chamber fibroblast can be dynamically researched.

The invention discloses a muscle-bone regeneration sustained-release preparation for targeting knee joint cartilage and a preparation process thereof, the preparation is composed of a cartilage targeting peptide modified PLGA-hyaluronic acid composite nanoparticle sustained-release carrier, an active regeneration component, a biocompatible matrix and an anti-inflammatory component, nanoparticles are prepared by a multiple emulsion solvent evaporation method, and targeting peptide is modified; the composite concentrated growth factors, stem cells and traditional Chinese medicine extracts have the functions of targeted enrichment, long-acting slow release, anti-inflammation and cartilage regeneration promotion, and can be used for knee joint cartilage defect repair.

The invention discloses a sleep-promoting nasal spray based on mesenchymal stem cell-derived exosomes and preparation and application thereof.The preparation method comprises the steps that 1, mesenchymal stem cells separated from umbilical cord tissue are cultured to P3-P5 generations, cell culture supernate is collected, cells are digested, and then cell debris and macromolecular impure protein are removed through pretreatment; (2) filtering and concentrating the pretreated cell culture supernatant and replacing a part of solution; (3) carrying out degerming filtration on the solution obtained in the step (2) through a 0.22 [mu] m filter membrane to obtain an MSC-Exos solution; and (4) adding a stabilizer with a proper concentration into the MSC-Exos solution to obtain a compound MSC-Exos solution, namely the sleep-promoting nasal spray. The product is a cell-derived natural active substance, can significantly improve sleep, and does not involve any pharmaceutical ingredient.

The invention relates to a time sequence degradable orthopedic implant material which comprises a base material and a biodegradable coating formed on the surface of the base material, the surface of the base material is provided with a nanocone array microstructure, the biodegradable coating takes a biodegradable polymer as a matrix and loads a metal element for promoting bone repair, and the metal element is a metal element for promoting bone repair. And the surface of the biodegradable coating is also connected with an anti-inflammatory active factor. According to the invention, grafted anti-inflammatory active factors are matched with the biodegradable coating loaded with metal elements for promoting bone repair, and the sequential active regulation and control of the biological effect of the micro-morphology on the surface of the base material cope with effector cells in different repair stages; the time sequence regulation and control on the macrophage inflammation phenotype and bone marrow mesenchymal stem cell osteogenic differentiation in different stages of bone repair are realized, so that each stage of bone tissue repair is matched, and bone repair and osseointegration are promoted.

The invention provides a nasal delivery preparation for cerebral diseases as well as a preparation method and application of the nasal delivery preparation, and relates to the technical field of pharmaceutical preparations. The nasal delivery preparation for the cerebral diseases comprises gelatin derivative chitosan microspheres coated with stem cell exosomes, and the microspheres are prepared through the method that the stem cell exosomes are coated with gelatin derivatives of a specific structure and then cross-linked with chitosan. The gelatin derivative used in the invention has good surface activity, and can be well compatible with cells and active factors to form a stable inner core coating structure; meanwhile, the surface of the chitosan of which the outer layer is crosslinked with the gelatin derivative is positively charged and can be combined with anions in nasal mucus, so that the retention time of the microspheres in the nasal cavity can be effectively prolonged. Therefore, the nasal delivery preparation not only can slowly release the stem cell exosome, but also improves the absorption efficiency of the stem cell exosome by the nasal cavity, so that the stem cell exosome can reach the brain more effectively.

The invention belongs to the technical field of biological analysis and evaluation, and particularly relates to a stem cell differentiation process multi-modal image fusion and intelligent evaluation method, which comprises a stem cell differentiation process multi-modal image fusion method: on the basis of constructing a multi-modal near-physiological mechanics microenvironment, carrying out image analysis by adopting the multi-modal image fusion method; an intelligent evaluation method for the stem cell differentiation process: developing an intelligent evaluation method based on deep learning driving on the basis of constructing a multi-modal near-physiological mechanical microenvironment, and revealing a mechanical-epigenetic regulation mechanism; the synergistic application of the two solves the core observation and regulation problems in stem cell differentiation research, and provides an industrialized intelligent platform for regenerative medicine. According to the method, the data integrity can be improved, the resolution limitation is broken through, the experiment process is accelerated, accurate mechanism analysis can be realized, automatic decision making is promoted, and the research and development cost is reduced.

The invention discloses a stem cell metabolism marker omics analysis method, device, equipment and medium, relates to the technical field of biomedicine, is applied to a computer device, and comprises the following steps: carrying out non-targeted detection on a to-be-detected sample of a target object to obtain an original mass spectrum; wherein the sample to be detected is a serum sample or a cell sample; preprocessing the original mass spectrogram to obtain a metabolite matrix in a standardized format; performing principal component analysis and partial least square discriminant analysis on the metabolite matrix, and determining a metabolic marker from the metabolite matrix according to an obtained analysis result; obtaining fragment information of the metabolic marker based on a collision-induced dissociation mode, and searching for a structural annotation of the metabolic marker from a human metabolome database based on the fragment information; and constructing a metabolic pathway map of the metabolic marker according to the structural annotation of the metabolic marker. The accuracy of omics analysis of the stem cell metabolism marker is improved.

The present invention relates to a medical device manufactured using the additive manufacturing process (3D printing). It is a medical device used preferably as a bone graft composed of a porous structure based on bioceramics based on β-tricalcium phosphate (β-TCP) or hydroxyapatite, which may or not contain nanostructures in its composition, for example: carbon nanostructures (graphene, graphene oxide, reduced graphene oxide, carbon nanotubes, etc.) and, in preferred embodiments, stem cells and polymeric membrane. Also, the present invention relates to the use of this device as a bone graft and the process of preparing this device.

The present invention relates to the technical field of stem cell detection, and particularly relates to a determination method for purity and population doubling time of human umbilical cord mesenchymal stem cells (hUC-MSCs). The cultured hUC-MSCs are mixed with the buffer solution to obtain cell suspension; the cell suspension is mixed and incubated with a fluorescein-labeled antibody to obtain an incubated substance; and the incubated substance is centrifuged, and the precipitate obtained is cleaned and then mixed with the buffer solution to obtain a substance to be tested. The present invention analyzes cell surface markers and cell cycles by using a flow cytometer and monoclonal antibodies labeled with different fluoresceins of hUC-MSCs as well as PI staining, and further defines a determination method for purity and population doubling time of hUC-MSCs.

The invention belongs to the technical field of image processing, and particularly relates to a stem cell morphological-mechanical characteristic automatic extraction system driven by a double-Swinin-Unet model, which comprises the double-Swinin-Unet model, the double-Swinin-Unet model integrally follows an encoder-decoder normal form, and a double-decoder and multi-module fusion design is introduced in combination with a self-attention mechanism of Transform and a jump connection thought of Unet, so that the stem cell morphological-mechanical characteristic automatic extraction system driven by the double-Swinin-Unet model driven by the double-Swinin-Unet model driven by the double-Swinin-Unet model driven by the double-Swinin-Unet model is obtained. The core module comprises an encoder, an ASSP module, a dual decoder, an MFFM multi-feature fusion module and a prediction head; the interior of the encoder comprises an initial processing layer, a multi-stage down-sampling layer, a CAM channel attention module and a jump connection. The double decoders are used for realizing layered feature recovery and refinement and comprise a decoder 1 and a decoder 2, and the two decoders are symmetrical in structure. According to the method, the limitation of a single decoder in a complex scene can be solved, meanwhile, high-precision feature recovery is realized, the problem that Transform is insufficient in large-scale context modeling is solved, and rich semantic features are provided for the decoder.

The invention discloses a specific disease iconography feature extraction method and system based on deep learning, and relates to the technical field of image analysis, and the method comprises the steps: collecting X-ray image data, stem cell markers, magnetic resonance imaging image data and dynamic ultrasonic image data of an osteoarthritis patient; performing standardization processing on the X-ray image data, the stem cell marker, the magnetic resonance imaging image data and the dynamic ultrasonic image data to obtain a standardized X-ray image data set, a standardized stem cell marker, a standardized magnetic resonance imaging image data set and a standardized dynamic ultrasonic image data set; a standardized X-ray image data set, a standardized magnetic resonance imaging image data set and a standardized dynamic ultrasound image data set are acquired. According to the invention, through multi-modal image data fusion and biomechanics-stem cell characteristic dynamic coupling, early accurate diagnosis and repair potential evaluation of osteoarthritis are realized.

The invention discloses a stem cell bionic microcarrier amplification system to solve the problems of low efficiency, easy function loss and the like of a traditional amplification method. The core of the micro-carrier comprises a porous degradable polymer micro-carrier of which the surface simulates an extracellular matrix (ECM) topological structure and is covalently bound with ECM protein; in a customized bioreactor, a physiological range fluid shear force is generated by periodically regulating and controlling stirring, and an in-vivo mechanical microenvironment is simulated. According to the system, through the synergistic effect of an ECM bionic structure and dynamic mechanical stimulation, adhesion and proliferation of stem cells are effectively promoted, and stemness and multidirectional differentiation potential are maintained. The amplification multiple can reach 10 times or more of that of a traditional method within 7-10 days, the method has the advantages of being capable of being amplified, standardized, low in cost and the like, and a key technical support is provided for industrialization of stem cell treatment.

The invention relates to the technical field of cell biology, in particular to a culture medium for inducing neural stem cells and application thereof.The culture medium for inducing the neural stem cells comprises a neural ectoderm induction culture medium and a neural stem cell induction culture medium; the neural ectoderm induction culture medium is prepared from a basic culture medium, an N-2 additive, a B-27 additive, an inhibitor SB431542 and an inhibitor Dorsomorphin, the neural stem cell induction culture medium is prepared from a basic culture medium, an N-2 additive and a B-27 additive, the basic culture medium is composed of a DMEM / F12 culture medium, a Neurobase culture medium, GlutaMax and non-essential amino acid NEAA. The problems that neural stem cells obtained through an existing single-layer adherent induction method based on small molecules or growth factors are uneven in differentiation and low in purity are solved.

The invention relates to the technical field of cell culture, and discloses a stem cell differentiation degree identification method based on image features. The method comprises the following steps: continuously capturing multi-temporal image data in a stem cell culture process through a high-resolution microscopic imaging system, and generating an image and environment synchronous data set; processing the data set, extracting dynamic morphological features and texture change modes of the stem cells, and constructing a fusion feature set; outputting a differentiation process index based on the fusion feature set; a differentiation degree grade division rule is set, and a differentiation process index and differentiation grade mapping table is established; in a real-time application stage, acquiring real-time imaging data and environment readings, and inputting the real-time imaging data and the environment readings into an evaluation network to calculate real-time differentiation process indexes; querying the mapping table according to the real-time index to obtain a differentiation grade judgment result; comparing the judgment result with a preset target range, and if the judgment result falls into the target range, automatically executing differentiation state marking and culture parameter adjusting operation.

The invention belongs to the technical field of biomedical materials, and particularly relates to astragaloside-loaded conductive hydrogel as well as a preparation method and application thereof. The preparation method comprises the following steps: uniformly mixing a methylacrylic anhydride gelatin aqueous solution with an organic solvent solution of astragaloside, and carrying out ultraviolet light cross-linking curing to form methylacrylic anhydride gelatin / astragaloside hydrogel; soaking the obtained hydrogel in hydrochloric acid containing a free radical initiator; then soaking and polymerizing in an aniline ethanol solution; and soaking and purifying to obtain the methylacrylic anhydride gelatin-polyaniline conductive hydrogel loaded with astragaloside. In-vitro experiments prove that the compound has a certain anti-inflammatory effect, can induce neural stem cells to be directionally differentiated into neurons and oligodendrocytes, and is beneficial to promoting nerve regeneration and myelin sheath formation; finally, in-vivo experiments prove that the composition can improve the athletic ability and tissue function recovery of SCI rats, and has a good application prospect.

The invention provides a stem cell culture process information abnormity early warning method, which comprises the following steps: preprocessing original data in a stem cell culture process, extracting layered features to obtain basic statistical features, time sequence trend features and environmental factor interaction features, and updating the features in real time through a dynamic sliding window, after the verified feature set is obtained, fusion calculation is carried out to obtain a multi-dimensional fusion feature set; calculating a trend deviation degree, a feature correlation degree and a fluctuation dispersion degree of the multi-dimensional fusion feature set, and carrying out dynamic weight distribution and fusion to obtain a fusion anomaly degree value; and matching the fusion anomaly degree value with a multi-level threshold value to obtain a matching result, judging an abnormal state type in combination with an association relationship between the feature anomaly type and the cultivation stage, and generating an anomaly early warning result. According to the method, through data preprocessing, layered feature extraction and fusion and dynamic anomaly calculation, the accuracy, real-time performance and practicability of stem cell culture anomaly early warning are improved.

Provided are a method for inducing differentiation of pluripotent stem cells into CD34+ hematopoietic stem / progenitor cells and a culture medium composition thereof. Provided are a method for inducing differentiation of pluripotent stem cells into CD34+ hematopoietic stem / progenitor cells or NK cells and a culture medium composition thereof. The NK cells obtained using the provided culture method have high purity and good in vitro expansion effect; the yield of iNK cells is high, and a single iPSC can differentiate into approximately 2,000 NK cells; and the obtained iNK cells highly express CD16 (over 70%). As a result, the problem of low CD16 expression in iNK cells in the prior art, which requires genetic modification methods to solve, has been addressed.