84 results about "Placental disc" patented technology

The invention discloses a gestational diabetes auxiliary analysis system and method based on placenta ultrasonic textures, and the system comprises a multi-modal database which is used for storing placenta two-dimensional ultrasonic image data and clinical comprehensive data; the preprocessing module is used for screening the clinical comprehensive data and carrying out standardization processing and labeling on the image data; the image feature extraction module is used for constructing an image segmentation model based on a CNN network, performing image processing on the input placenta two-dimensional ultrasonic image through the image segmentation model, and obtaining an image feature data set; the risk prediction module is used for constructing a GDM risk prediction model; and the judgment module is used for carrying out risk classification on the GDM risk of the current pregnant woman by utilizing the image segmentation model and the GDM risk prediction model. By introducing a deep learning technology, intelligent analysis is performed on placenta ultrasonic images, clinical comprehensive data and other multi-modal data, and a reliable tool is provided for auxiliary analysis of gestational diabetes mellitus.

The invention provides human placenta-derived vasogenic stem cells (hPASCs) and application thereof. The human placenta-derived angiogenic stem cells (hPASCs) disclosed by the invention are preserved in China Center for Type Culture Collection, Wuhan University, Wuhan, China; the preservation date is April 2, 2025; the preservation number of the strain is CCTCC (China Center For Type Culture Collection) NO: The hPASCs disclosed by the invention contain angiogenic cell subgroups, have stem cell stemness, have an angiogenesis effect in vivo and in vitro, and can be used for treatment of diseases such as cardiovascular diseases and vascularization construction of artificial organs and tissues.

The invention discloses a placenta implantation analysis method based on an ultrasonic image, particularly relates to the technical field of medical image analysis, and is used for solving the problem that the placenta implantation condition is difficult to accurately diagnose due to artifact interference caused by complex reflection of an existing placenta area and adjacent blood vessels. The method comprises the following steps: acquiring ultrasonic radio frequency data, generating a two-dimensional gray scale image and a Doppler blood flow image, constructing a dynamic interference distribution diagram, extracting artifact time sequence characteristics, realizing frequency domain separation of an artifact region and generation of a multi-reflection interference pixel set in combination with wavelet transform, and identifying a real blood flow signal through an adaptive threshold algorithm. According to the method, artifacts and real signals are fused to generate an artifact-removed image, morphological processing based on structural elements is carried out on the artifact-removed image, continuous boundary information of the placenta and the uterine wall is extracted, suspicious blood vessel invasion paths are marked in a partitioned mode, and the accuracy of image analysis is improved.

The invention relates to the technical field of tissue repair, in particular to a placenta amnion decellularized material as well as a preparation method and application thereof. The amnion is subjected to decellularization treatment by adopting a high-salt freeze-thaw combined composite enzymolysis method, and the result proves that the amnion decellularization material prepared by the invention is a high-activity bioremediation material, and the natural three-dimensional structure and bioactive components of an amnion extracellular matrix are reserved to the greatest extent; and the prepared filling material has better biocompatibility and tissue inductivity.

The invention relates to the technical field of medical information, in particular to a placenta position detection system and method based on MRI, and the method comprises the steps: obtaining target MRI image data, carrying out the image segmentation of the target MRI image data, and extracting the three-dimensional models of a placenta, a uterus and a cervix; based on the three-dimensional model, identifying the position relationship between the placenta and the cervix uteri, judging the type of the placenta, and evaluating the placenta implantation risk to generate risk early warning information; and displaying a three-dimensional visual model of the placenta and the uterus, and marking a high-risk area on the three-dimensional visual model based on the risk early warning information. The placenta position detection efficiency, precision and automation are improved, full-process automatic detection can be achieved, and personal errors are reduced.

It is an object of the present invention to effectively promote growth of granulation tissue at a dermal defect or a subcutaneous tissue defect caused by a severe burn. To achieve this object, burn treatment cells for use in treatment of burns are composed of placenta-derived cells of an animal and promote healing.

A method for treating cartilage defects including providing a placental membrane preparation that comprises ground or minced placental membranes and optionally, a ground or minced cartilage and / or biocompatible glue, and introducing the preparation to a cartilage defect within a skeletal joint. The cartilage defect may comprise a hyaline cartilage defect, such as a chondral defect, or meniscal defect. The treatment may be provided in combination with other treatments such as marrow stimulation treatments and surgical repair treatments using sutures or other fixation techniques. The preparation promotes the regeneration of cartilage within the skeletal joint.

To provide a novel method of using a placenta extract, focusing on suppressing the growth of cancer cells.SOLUTION: The use of a placenta extract intends to suppress the growth of cancer cells. The use of a placenta extract also intends to provide the placenta extract as an active ingredient in a pharmaceutical preparation that suppresses the proliferation of cancer cells while allowing normal cells to proliferate.SELECTED DRAWING: Figure 1

The invention belongs to the field of medical image processing, and provides an improved deep learning model based on U-Net for a placenta automatic segmentation task in a magnetic resonance imaging (MRI) image. Technical improvement key points are as follows: a convolutional block attention mechanism module (CBAM) is embedded in a down-sampling path, and the key channel and spatial feature extraction capability is enhanced; meanwhile, an edge perception enhancement module (BPM) is embedded, so that the edge distinction degree of the placenta and the uterus tissue is enhanced; in addition, an attention gating module (AG) is additionally arranged on an up-sampling path, the semantic distinguishing capability of a placenta target area and a background is improved, and background noise interference is reduced. Experimental verification shows that the segmentation precision of the model in a placenta MRI automatic segmentation task is obviously superior to that of an existing method.

The present invention discloses a method for evaluating and predicting placental transport efficiency, comprising the following steps: S1: respectively measuring and analyzing PFASs in different test samples; S2: TTE estimation: calculating TTE0 and TTE(tem) according to the following formula: TTE0=C PFAS‑脐带血清 / C PFAS‑母体血清 、C PFAS‑母体血 ×V 母体血 ×TTE m =C PFAS ‑ 脐带血 ×V 脐带血 、C PFAS‑血清 / R=C PFAS‑全血 S3: Statistical Analysis. The present invention successfully identified differences in TTE between SGA infants and matched healthy controls using an improved TEM model that considers total PFAS exposure. The improved TEM model exhibited advantages in active transport and facilitated diffusion.

The invention relates to the field of computer vision and medical images, in particular to a placental lesion tissue detection method and system based on artificial intelligence, and the method comprises the following steps: collecting and fusing multi-modal data, and obtaining the multi-modal data of placental lesion tissues by adopting an imaging technology; after the multi-modal data are aligned, lesion tissue labeling is carried out on the visible light image, and a reference label is obtained; and based on a cross-modal space mapping relationship, migrating the reference label to other modals to support multi-modal cooperative training. A software module of the system receives encrypted original data from a hardware module, a containerization technology is adopted to package a model and an operation environment thereof into independent units for deployment and operation, the detection method is realized, and the system is integrated with an external medical information system. According to the method, the detection rate of lesions is remarkably increased, the false detection rate is reduced, the detection performance is remarkably improved, and the detection environment deployment cost of a hospital is greatly reduced.

Disclosed herein are methods of reducing pathological inflammation and effects thereof through administration of tissues associated with regenerative and / or tolerogenic activity. In some embodiments, such tissues can include placental, ocular, testicular, and osseous tissues. Augmentation of therapeutic effects of said tissues may be achieved through contact with Injury Mimetics.

Provided herein are compositions containing dehydrated placental tissue particulates, methods of making the compositions and methods for treating various musculoskeletal disorders and other conditions using such compositions, including osteoarthritis (OA), degenerative disc disease, tendonitis, plantar fasciitis, and pain associated therewith.

Disclosed is a placenta accreta assessment system based on multimodal sign recognition, belonging to the field of placenta accreta detection technology. The system includes a data collection module for obtaining detection text from multiple sets of placenta ultrasound images; a sign extraction module for respectively obtaining a first feature map and a second feature map using the placenta ultrasound images and the detection text; a cross-attention unit for fusing the multimodal features of the feature maps to obtain a third feature map; a feature aggregation unit for fusing the multi-stage feature maps to obtain a fourth feature map; a classification unit for outputting a segmentation mask for placenta accreta signs based on the fourth feature map; and an assessment module for determining the severity of the placenta accreta sign corresponding to the segmentation mask to obtain a placenta accreta assessment result for the subject. The system provides a placenta accreta sign segmentation result based on the subject's ultrasound imaging and text indicators, providing medical personnel with an effective placenta accreta assessment reference and avoiding diagnostic errors caused by subjective misjudgment by medical personnel in primary healthcare institutions.

Provided herein is an ionizable lipid and a lipid nanoparticle composition including the ionizable lipid. The ionizable lipid and lipid nanoparticle composition are hypoxia responsive. Provided herein are also methods of delivering an agent to hypoxic tissue and treating disorders associated with hypoxia using the ionizable lipid and lipid nanoparticle composition. Such methods include treatment of placental related disorders.

A tissue storage solution includes hypothermic storage compositions and methods. The hypothermic storage composition includes media containing Dulbecco's modified Eagle's medium (DMEM) and albumin. A method of hypothermically storing tissue includes storing such tissue in a storage medium including DMEM and albumin. A method for wound or defect treatment includes applying tissue, stored in a hypothermic storage medium containing DMEM and albumin, to the site of such wound or defect.

The invention belongs to the technical field of medical diagnosis, and provides a biomarker of complete grape tire. The biomarker comprises RASA1, and the biomarker shows obvious differential expression in normal and complete grape tire trophoblast stem cells and normal and complete grape tire tissues; the method can be used for distinguishing complete grape tire, extremely early complete grape tire, non-grape tire villus edema and normal placenta tissue, and shows good robustness. Compared with the serum beta-hCG level, the expression level of the RASA1 shows higher diagnostic efficacy on complete grape tire detection. The biomarker disclosed by the invention provides a basis for developing targeted diagnosis and treatment in the future.

The invention relates to the technical field of auxiliary turning-over frames, in particular to an auxiliary turning-over device for gynaecology and obstetrics examination. An auxiliary pad is arranged at the upper end of a sickbed, two driving assemblies are arranged at the lower end of the auxiliary pad, a shoulder supporting assembly is rotationally installed at the upper end of one driving assembly, and a first rotating groove is formed in the auxiliary pad; a sectional type small-angle gradual turning mode is adopted, air bag buffering is matched, the lumbar vertebra twisting moment and abdomen compression during turning can be reduced, the risks of lumbar vertebra injury, placenta early peeling and the like are reduced, the comfort is high, and the effect is good. The shoulder supporting air bag fits the body shape of a pregnant woman in a net bag type wrapping design, the leg supporting assembly and the abdomen supporting assembly are automatically lifted through transmission of silica gel extruded by the air bags, the lower limbs are lifted to promote venous return, the abdomen is attached to reduce suspension compression, and the comfort degree of the pregnant woman during turning over is improved.

The invention relates to a placenta tissue collecting bag and application. The placenta tissue collecting bag comprises a protective layer, a one-way exhaust valve, a first sealing strip, a second sealing strip, an antioxidant bag and a contact layer. The collection bag is of a double-layer structure, the leakage risk can be remarkably reduced, biological safety protection is improved, the antioxidant sealing bag and the one-way exhaust valve are additionally arranged, the air content in the collection bag can be greatly reduced, and therefore the oxidation rate of placenta tissue is reduced, and cell activity is kept.

A method of preparing sterile human placental allografts by providing a human placental tissue from a donor within 24 hours to 72 hours post-childbirth; removing any visible blood, blood clots, and / or blood components from the human placental tissue without scraping or scrubbing the human placental tissue to preserve structural integrity of the human placental tissue; washing the human placental tissue in an isotonic solution while maintaining the structural integrity of the human placental tissue; dehydrating the human placental tissue thereby forming the dehydrated human placental tissue; resizing the dehydrated human placental tissue into dehydrated human placental tissue portions having predetermined sizes; and sterilizing the dehydrated human placental tissue portions of step (e) thereby forming the sterile human placental allograft. Also disclosed is a sterile human placental allograft produced by the method.

The invention relates to a placenta umbilical cord insertion opening standard section automatic measurement method based on a multi-task model, and the method comprises the steps: inputting a placenta image into a YOLO multi-task model, and carrying out the recognition of a detection frame and corresponding confidence of each target structure in a placenta umbilical cord insertion opening section, and a placenta mask of the placenta umbilical cord insertion opening section; analyzing according to the detection frame of the target structure and the corresponding confidence, and determining a placenta umbilical cord insertion opening standard section and a corresponding placenta mask; according to the placenta mask of the placenta umbilical cord insertion opening standard section, obtaining the central axis and the contour line of the mask and the fan-shaped region boundary of the original image; analysis and measurement are carried out based on the central axis and the contour line of the mask and the sector region boundary of the original image to obtain an optimal placenta measurement line, and efficient and accurate placenta umbilical cord insertion opening standard tangent plane automatic measurement can be realized.

The inventions relates to Immunoglobulin A (IgA) or a pharmaceutical composition comprising IgA for use in the treatment of an infectious disease of or in an immune privileged organ, such as the eye, fetus, placenta, central nervous system (CNS) and / or testicles caused by a bacterial, fungal, viral or parasitic infection, in particular caused by bacteria of the human microbiome. IgA-coated pathogens can be addressed by FCAR+ and / or CD11c+ innate immune cells, for example by phagocytosis, or by activation of the complement system. The use of IgA or a pharmaceutical composition comprising IgA in immune privileged sites is advantageous because in contrast to IgG, IgA-coated pathogens do not trigger activation of C1q, a protein used for the controlled pruning of synapses. This prevents neuronal damage in said immune privileged organ(s), while at the same time allowing an antibody-mediated immune response in said organs.

The present invention relates to a microfluidic device configured to study epithelial and / or endothelial barrier function in a human 3D cell microtissue model, while simultaneously allowing for the application of mechanical stimuli such as luminal flow and / or lateral flow. Embodiments include three cultures representing the maternal-fetal interface (placental barrier): human umbilical vein endothelial cells (HUVEC), human placental fibroblasts (HPF), and human placental pericytes (HPP), as well as a ductal interface composed of human primary mammary gland-derived endothelial cells, fibroblasts, and epithelial layer (MCF10). The model is expandable to include tumors (cell line-derived or patient-derived). The present invention further relates to a method for fabricating a human 3D vascular microtissue model using a microfluidic device according to the present invention, and to the use of a human 3D vascular microtissue model for, for example, studying the effects of cell barrier function (solute permeability), interstitial flow, luminal flow and / or lateral flow, and epithelial and / or endothelial barrier function (solute permeability), and extravascular matrix properties (diffusivity, stiffness, transport of molecules, antibodies and / or cells, and matrix proteins). The present invention further relates to a method for presenting a pre-eclampsia (disease) model of the placental barrier, and means for testing drug therapies.

This invention relates to the fields of computer vision and medical imaging, specifically to an artificial intelligence-based method and system for detecting placental lesions. The method includes the following steps: multimodal data acquisition and fusion; acquiring multimodal data of placental lesions using imaging technology; aligning the multimodal data and labeling the lesions on visible light images to obtain baseline labels; and migrating the baseline labels to other modalities based on cross-modal spatial mapping relationships to support multimodal collaborative training. The system's software module receives encrypted raw data from the hardware module and uses containerization technology to encapsulate the model and its operating environment into independent units for deployment and operation, realizing the detection method and integrating it with external medical information systems. This invention significantly improves the detection rate of lesions and reduces the false detection rate, resulting in a significant improvement in detection performance and greatly reducing the deployment cost of hospital detection environments.

FIELD: oncology.SUBSTANCE: used to treat malignant embryonic tumors. The method involves pharmacological inhibition of factors that support tumor growth. A progesterone receptor antagonist is administered and immunological activation of the body's response against progesterone-induced blocking factor (PIBF), placental growth factor (PIGF) and trophoblastic β 1-glycoprotein.EFFECT: increased treatment reliability due to a comprehensive and selective effect on the tumor, simultaneous influence on both the primary tumor site and metastases, a reduction in the likelihood of relapse due to the destruction of the tumor vascular network, and a reduction in the overall toxic load on the patient's body during treatment.7 cl, 1 tbl, 5 ex

This invention is directed in one main aspect to a cell composition comprising a population of engineered mucosal-associated invariant T (MAIT) cells derived from placental tissue expressing an exogenous chimeric antigen receptor (CAR). The invention further discloses a unique placental MAIT cell population, cell compositions comprising the MAIT cell population, and methods of use.

This invention is directed in one main aspect to a cell composition comprising a population of engineered mucosal-associated invariant T (MAIT) cells derived from placental tissue expressing an exogenous chimeric antigen receptor (CAR). The invention further discloses a unique placental MAIT cell population, cell compositions comprising the MAIT cell population, and methods of use.

1. Name of the product in this design: Packaging straps (placental pieces). 2. Purpose of this design: This product is used for bundling medicine packaging boxes. 3. The key design features of this product are its pattern and the combination of pattern and color. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The design for which protection is sought includes color. 6. This design is for a thin product, therefore the left view, right view, top view, and bottom view are omitted.

To provide an improved porcine scaffold comprising decellularized porcine placental extracellular matrix. Further provided are methods of preparing the improved decellularized porcine placental extracellular matrix as well as methods of treatment.SOLUTION: Provided are porcine scaffolds comprising a decellularized porcine placental extracellular matrix, wherein the porcine scaffold comprises at least about 0.5% w / w hyaluronic acid based on the total weight of the porcine scaffold, and methods of preparing the porcine scaffolds.SELECTED DRAWING: Figure 9

The invention aims to provide a method for separating and amplifying placenta decidua matrix cells in a perinatal period. The method comprises the following steps: adding decidua tissues into a culture medium A containing collagenase for digestion treatment; cleaning to obtain a cell suspension A, and sieving to obtain a cell suspension B; mixing the cell suspension B with a Ficoll solution, and carrying out primary gradient centrifugation; mixing the cell layer and the supernate layer with normal saline, and then carrying out secondary gradient centrifugation; and culturing the cell block mass and the culture medium B in an incubator. According to the method, the success rate of separation and amplification of the placenta decidua interstitial cells in the perinatal period can be increased, the separated and proliferated cells have group cell biomarker expression for tissue repair, and the separation technical method is improved, so that highly purified cells are obtained.