387 results about "Pancreas" patented technology

Systems and methods for cooling a biological sample with different temperature cooling blocks. Warmer cooling blocks can be placed around a container and cooler cooling blocks can be placed above the container. The biological sample can be a pancreas, heart or other organs. The method and system can rely on convection, or gravity-based fluid movement, to make the temperature within the container consistent.

The invention provides a gamma delta T cell preparation as well as a preparation method and application thereof, and belongs to the technical field of T cells. The liposome is prepared from the following raw materials in parts by weight: 15-20 parts of modified gamma delta T cell liposome, 1-3 parts of cell stimulating factors and 4-7 parts of culture medium freeze-dried powder, the modified gamma delta T cell lipidosome is prepared by embedding gamma delta T cells through lipidosome, coupling with acetylenic bond modified chitosan, and further mixing with MFAP4 protein and b4GALT1 protein. The culture medium freeze-dried powder is prepared by freeze-drying the culture medium in the engineering culture process of gamma delta T cells, and the cell stimulating factors are resveratrol and quercitrin. According to the gamma delta T cell preparation prepared by the invention, the survival ability and resistance of gamma delta T cells are improved, the anti-tumor activity of the gamma delta T cells is improved, and the gamma delta T cell preparation has relatively good antioxidant and anti-inflammatory effects, reduces the inhibition of inflammation on an immune system and has a very good treatment effect on pancreatic ductal adenocarcinoma.

The invention relates to the technical field of medical instruments, in particular to an electromagnetic focusing extracorporeal shock wave pancreatic lithotripsy device and method.The electromagnetic focusing extracorporeal shock wave pancreatic lithotripsy device comprises a device body, a bed body is installed on one side of the device body through a supporting frame, and a lithotripsy notch is formed in the side, close to the device body, of the bed body; a large C-shaped arm and a small C-shaped arm installed on the inner side of the large C-shaped arm are installed at the position of the notch of the device body, an X camera imager is installed at the upper end of the large C-shaped arm, and a shock wave generator and an ultrasonic probe installed on one side of the shock wave generator are installed on the small C-shaped arm. An energy adjusting module used for controlling the shock wave generator and a safety detection module used for detecting the skin temperature are arranged in the device body, and a displayer and a human-computer interaction interface are arranged on one side of the device body. The technical scheme in the prior art has limitations on shock wave generation, positioning precision, energy regulation and control and treatment strategies.

A wearable drug delivery device, techniques, and computer-readable media that provide an application that implements a diabetes treatment plan for a user are described. The drug delivery device may include a controller operable to direct operation of the wearable drug delivery device. The controller may provide a selectable activity mode of operation for the user. Operation of the drug delivery device in the activity mode of operation may reduce a likelihood of hypoglycemia during times of increased insulin sensitivity for the user and may reduce a likelihood of hyperglycemia during times of increased insulin requirements for the user. The activity mode of operation may be manually activated by the user or may be activated automatically by the controller. The controller may automatically activate the activity mode of operation based on a detected activity level of the user and / or a detected location of the user.

Exemplary embodiments described herein relate to a closed loop artificial pancreas system. The artificial pancreas system seeks to automatically and continuously control the blood glucose level of a user by emulating the endocrine functionality of a healthy pancreas. The artificial pancreas system uses a closed loop control system with a cost function. The penalty function helps to bound the infusion rate of insulin to attempt to avoid hypoglycemia and hyperglycemia. However, unlike conventional systems that use a generic or baseline parameter for a user's insulin needs in a cost function, the exemplary embodiments may use a customized parameter in the cost function that reflects the individualized insulin needs of the user. The use of the customized parameter causes the cost function to result in insulin dosages over time better suited to the individualized insulin needs of the user. This helps to better avoid hypoglycemia and hyperglycemia.

The invention relates to the technical field of medical monitoring, in particular to an intelligent monitoring and health management system for liver, gall and pancreas postoperative drainage fluid, which comprises a data acquisition module for acquiring core specific indexes of liver, gall and pancreas special drainage fluid, visual images of the drainage fluid, dynamic flow and physiological data of a patient; the intelligent analysis module constructs a hepatobiliary pancreatic postoperative exclusive multi-modal model, deeply couples postoperative disease course time sequence characteristics to identify risks at different stages after the operation, and triggers risk assessment when the operation is abnormal; the early warning module is provided with a light, medium and heavy three-level mechanism, and carries out resource adaptation type grading accurate pushing to a responsible physician and a nurse station terminal in combination with a medical care real-time load and a spatial distance. The health management module fuses individual features of the patient and real-time monitoring data, and constructs a personalized rehabilitation scheme in combination with rehabilitation feedback of the patient; and the data synchronization module transmits model update parameters through an encryption channel, and perfects the complete-cycle health archive of the patient. Therefore, the problems that in the prior art, an early warning mechanism is rigid, and data security and full-period management are insufficient are solved.

The invention discloses an anti-lipopolysaccharide factor rALF-like protein and application thereof, and belongs to the technical field of molecular biology. The anti-lipopolysaccharide factor rALF-like protein provided by the invention belongs to secretory protein, the rALF-like protein can be competitively combined with an LPS structural domain of bacteria to achieve the purpose of inhibiting inflammation, and the expression of the coding gene Pv-ALF-like gene in blood cells, hepatopancreas, gill and intestinal tissues is remarkably up-regulated, so that the anti-lipopolysaccharide factor rALF-like protein can be used for inhibiting inflammation. The rALF-like protein disclosed by the invention has antibacterial and antiviral effects, lays a foundation for developing antibacterial and antiviral drugs and functional feed additives, and plays an important role in improving the resistance link of prawns.

Disclosed herein are compositions and methods related to differentiation of stem cells into pancreatic islet cells. In some aspects, the methods provided herein relate to generation of pancreatic β cell, α cell, δ cells, and EC cells in vitro. In some aspects, the disclosure provides pharmaceutical compositions including the cells generated according to the methods disclosed herein, as well as methods of treatment making use thereof.

The invention relates to a heparinized gelatin / sodium alginate pancreas islet packaging material with an anti-fibrosis function as well as a preparation method and application of the heparinized gelatin / sodium alginate pancreas islet packaging material. The preparation method comprises the following steps: adding gelatin into normal saline, soaking, performing autoclaved sterilization to obtain a gelatin solution, then adding epsilon-polylysine hydrochloride into the gelatin solution, and finally adding glutamine transaminase for reaction to obtain an epsilon-polylysine grafted gelatin solution; adding heparin into the solution, and reacting to obtain a heparinized gelatin solution; adding sodium alginate and glutamine transaminase, reacting, diluting, preparing hydrogel microspheres by adopting an electrostatic spraying method, and cross-linking to obtain the hydrogel microspheres. According to the invention, heparin molecules are incorporated into a pancreas islet packaging system, so that fibrosis at the periphery of the microspheres can be relieved, the pancreas islet cells are packaged by using the pancreas islet packaging material to prepare the biological artificial pancreas, the pancreas islet cell proliferation and insulin secretion can be promoted, and the pancreas islet packaging material has a good diabetes treatment effect.

The present application belongs to the field of aquaculture technology, and mainly relates to a traditional Chinese medicine composition for preventing and treating acute hepatopancreas necrosis disease of prawn, a preparation method and application. The traditional Chinese medicine composition comprises the following raw materials in parts by weight: 28-32 parts of Radix Sanguisorbae, 28-32 parts of Radix Scutellariae, 18-22 parts of Phellodendri Cortex and 8-12 parts of Lonicerae Japonicae Flos. The traditional Chinese medicine composition can significantly inhibit the activity of the main pathogen of the disease, i.e. Vibrio parahaemolyticus, improve the immune function and disease resistance of prawn, and further repair the hepatopancreas and intestinal tissues of the diseased prawn, thereby achieving the effect of effectively preventing and treating the acute hepatopancreas necrosis disease of prawn.

To improve allele discrimination, the inventors adapted the system combining Cas13a detection sensitivity with allele-specific PCR amplification to propose CASPER (Cas13a Allele-Specific PCR Enzyme Recognition) as a new versatile, easy-to-implement, and highly sensitive method to detect low-frequency of sequence variant. CASPER enabled specific and sensitive detection of KRASG12D with low DNA input such as DNA extracted from patient's pancreatic ultrasound-guided fine-needle aspiration fluids. CASPER is easy to implement and a versatile reliable method virtually adaptable to any point mutation.

Disclosed herein are compositions and methods related to differentiation of stem cells into pancreatic islet cells. In some embodiments, the methods provided herein relate to generation of pancreatic β cell, α cell, δ cells, and EC cells in vitro. In some embodiments, the disclosure provides pharmaceutical compositions including the cells generated according to the methods disclosed herein, as well as methods of treatment making use thereof.

This disclosure is directed to two cancer-associated fibroblast (CAP) subtypes, namely permissive (permCAF) and restraining (restCAF), in pancreatic ductal adenocarcinoma (PDAC), mesothelioma, urothelial carcinoma, or renal cell carcinoma. Methods are disclosed that describe how to identify a tumor sample as a perCAF or a restCAF subtypes. Methods are also disclosed that use the subtypes for diagnosis, prognosis, differential treatment, and treatment.

The invention belongs to the technical field of biomedicine, and relates to a method for increasing the yield of pancreas islet organs differentiated by pluripotent stem cells and improving the stability. The method comprises the following steps: (1) inoculating pluripotent stem cells, and culturing by adopting a basic culture medium containing Y-27632; (2) changing the liquid, and continuously culturing by adopting a basic culture medium; (3) culturing for 1 day by using an S1D1 culture medium, and then culturing for 2-3 days by using an S1D2 culture medium; (4) changing the liquid, and culturing for 2-3 days by adopting the S2 culture medium; (5) changing the liquid, and culturing for 1-2 days by adopting an S3 culture medium; (6) changing the liquid, and culturing for 4-7 days by adopting a culture medium S4; (7) changing the liquid, and culturing for 3-10 days by adopting an S5 culture medium; and (8) carrying out cell sphere repolymerization, and culturing for 3-21 days by using an S6 culture medium to obtain the pancreas islet organ. The present invention increases the yield and differentiation efficiency at each differentiation stage and increases the scale yield at the cellular level.

The invention relates to the technical field of organ transplantation, and discloses organ preserving fluid, application and organ dynamic supercooling perfusion equipment. The organ preserving fluid is prepared from ribose, glucose, mannitol, lidocaine, adenosine, a high-molecular polymer, L-proline, trehalose, inorganic salt and organic salt. The high-molecular polymer comprises one of hydroxyethyl starch, polyethylene glycol and albumin. According to the organ preserving fluid disclosed by the invention, the freezing point of the perfusate is reduced through the micromolecular cryoprotectant, and meanwhile, the micromolecular cryoprotectant and the high-molecular polymer jointly inhibit formation and growth of ice crystals; the problem of liquid preservation at the temperature below zero is solved from the two dimensions of physics (reducing the freezing point and inhibiting ice crystals) and biology (maintaining cell viability), and feasibility is provided for long-time low-temperature transfer and transplantation of organs. The preserving fluid can be used for static preservation or perfusion preservation of various organs such as kidney, liver, heart, pancreas, lung, small intestine, skin and the like.

The invention discloses a composite plant polypeptide composition with the effects of repairing pancreas and reducing blood sugar. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 10 to 50 parts of ginsenoside, 5 to 30 parts of radix astragali seu hedysari extract, 3 to 20 parts of radix rehmanniae polysaccharide, 2 to 15 parts of radix trichosanthis alkaloid, 5 to 25 parts of rhizoma dioscoreae polysaccharide, 5 to 30 parts of bitter gourd polypeptide, 3 to 20 parts of folium mori alkaloid, 8 to 40 parts of rhizoma polygonati polysaccharide, 5 to 25 parts of fructus hippophae flavone, 10 to 35 parts of wheat germ peptide, 2 to 15 parts of coptis berberine, 10 to 45 parts of corn stigma polysaccharide and 3 to 20 parts of saussurea involucrata polyphenol. 1-10 parts of sophora flavescens total alkaloids, 5-25 parts of a dendrobium extract, 5-30 parts of a radix puerariae extract, 8-35 parts of L-arabinose and 10-40 parts of small molecule peptides; 20 to 100 parts of collagen peptide and 15 to 80 parts of albumin peptide; 5-50 parts of microcrystalline cellulose, 3-30 parts of fructo-oligosaccharide and 0.5-5 parts of magnesium stearate; the limitation of single sugar control or simple component mixing in the prior art is broken through, a synergistic system of plant active components and functional polypeptides is constructed, and the purity and retention rate of the plant active components are improved by optimizing the extraction process.

The invention belongs to the technical field of medical image processing, and particularly relates to a non-functional pancreatic neuroendocrine tumor preoperative index prediction method and system. According to the method, on the basis of abdomen CT image lesion segmentation, pathological grading (low risk / high risk) and lymph node metastasis (LNM) risks are jointly predicted through a multi-task deep learning framework; according to the method, tumor morphological features, radiomics features and clinical parameters (such as tumor size and position) extracted by a segmentation network are combined, and high-precision prediction of preoperative key indexes is realized by using a feature fusion module and a lightweight classification head; through a cross-modal attention mechanism and multi-center data verification, the model achieves the pathologic classification AUC of 0.75 on an internal verification set, achieves the LNM prediction AUC of 0.78, and is significantly superior to traditional clinical experience judgment. According to the method, reliable decision support is provided for preoperative precise operation planning and personalized treatment.

The invention discloses a cane molasses extract with a blood sugar reducing effect as well as a preparation method and application thereof, and belongs to the field of functional foods. According to the invention, cane molasses is subjected to dissolution, centrifugation, ultrafiltration impurity removal, desalination and nanofiltration concentration, and is mixed with calcium chloride, so that the cane molasses extract with the effect of reducing blood sugar is prepared. Experimental results prove that the cane molasses extract prepared by the invention has the characteristics of low glycemic index (GI), carbohydrate digestive enzyme inhibition, high temperature resistance, long-term storage resistance and the like, can also effectively repair pancreas and liver injury and regulate intestinal flora, and has a comprehensive hypoglycemic effect. The food with low glycemic index is prepared on the basis of the high sucrose carrier for the first time, and the food has sweet taste and the function of reducing blood sugar. The invention provides a new raw material scheme for the preparation of dietary supplement food and hypoglycemic drugs for hyperglycemia people, and has prominent practical application value and wide application prospect.

The invention relates to the technical field of medical imaging omics analysis, in particular to a pancreatic perivascular fat image feature-based operation area inflammation degree grading method, which comprises the following steps of: determining clinical risk factors for pancreatic operation area inflammation degree grading through a statistical method; respectively segmenting ROI (Region of Interest) 1-6 in the preprocessed CT vein phase image and the preprocessed vein phase image through the combination of a TotalSegmentor segmentation model, an nnUNet segmentation framework and a region growing algorithm, and extracting cross-region image omics characteristics; and constructing an inflammation degree grading model based on the cross-regional radiomics characteristics and the clinical risk factors through a plurality of machine learning algorithms. According to the method, in the fusion model constructed by combining the risk factors and the radiomics characteristics, the clinical risk factors are found by using retrospective research, and meanwhile, the clinical risk factors and the radiomics characteristics are spliced by adopting an attention mechanism, so that the grading precision and efficiency of the inflammatory degree of the fusion model are ensured.

According to an embodiment, disclosed is a system comprising a processor configured to receive an image of a breast of a patient and patient data comprising genetic data; extract features from the image and the patient data, using one or more machine learning models, wherein the features comprise a presence of a calcification and a calcification pattern to generate a breast calcification vector; augment the breast calcification vector with the genetic data; determine, using the machine learning models, a first risk for a breast cancer; a second risk to one or more organs of the patient, wherein the organs comprises one or more of heart, kidney, lungs, pancreas, and brain; predict, a third risk based on one or more of a healing response, a tumor flow and growth, inflammation and degeneration, a disease relapse, an adverse event, and a clinical response; and determine, an overall risk to the patient.

The invention discloses a pancreatic cancer diagnosis and treatment method and device based on an ultrasonic image AI model and a medium, and relates to the field of medical artificial intelligence, and the method comprises the steps: obtaining an ultrasonic image and text information of a patient; performing image segmentation by utilizing MedSAM according to the ultrasonic image, and determining a diagnosis result by utilizing a pancreatic cancer diagnosis sub-model and a text processing model according to the region of interest and the text information; if the pancreatic duct adenocarcinoma exists, determining a typing result by utilizing a pancreatic cancer typing sub-model and a text processing model according to the region of interest and the text information; determining a selection result by utilizing a pancreatic cancer treatment decision sub-model and a text processing model according to the region of interest and the text information if the region of interest is the type III or the type IV; and determining a prognosis evaluation result by using the pancreatic cancer prognosis evaluation sub-model and the text processing model according to the region of interest and the text information. The accuracy and efficiency of overall clinical decision making are improved.

The invention relates to an islet repair ICK mode oral polypeptide optimization system taking VDAC1 as a target based on ESM2 and a genetic algorithm, and the system comprises a mutation module which is used for carrying out mutation and recombination by adopting the genetic algorithm according to original protein sequence data to generate an initial population; the prediction module is used for respectively inputting the protein sequence data of the initial population into a protein dimer dissociation energy prediction model, a protein toxicity prediction model and a protein cell penetrability prediction model to obtain a dissociation energy prediction value delta G, a toxicity probability value T and a cell membrane passing transmission probability Ed; and the optimization module is used for acquiring the optimal individual performance of the highest fitness score to output the Pareto optimal sequence index, and recording the hotspot residue distribution and the site mutation frequency at the same time. On the basis of keeping the biological activity of the original sequence, the key drug properties are improved in a breakthrough manner.

The invention relates to the technical field of medical biology, in particular to a chronic pancreatitis complication risk grading system based on exosome transcriptome data, and aims to solve the problems that existing chronic pancreatitis (CP) typing lacks molecular basis, complication risk prediction is weak and clinical transformation is poor. According to the system, plasma exosomes are extracted and sequenced, a functional characteristic gene set is constructed in combination with pancreas single cell data, CP is divided into three risk increasing subtypes by using a COCA algorithm, and finally 12 core miRNAs are screened to construct a BPNN diagnosis model. The invention proves that the plasma exosome can be used for staging classification of chronic pancreatitis for the first time, miRNA non-invasive accurate layering illness conditions can be detected through qPCR, the risk of fatty diarrhea and 3c type diabetes mellitus can be predicted, and the non-invasiveness, convenience, classification accuracy and result repeatability of the plasma exosome have clinical application and transformation advantages.

The application relates to a feed additive of herbal extracts for Litopenaeus vannamei and application thereof. The feed additive of herbal extracts is composed of dandelion extracts and houttuynia cordata extracts. The dandelion extracts and the houttuynia cordata extracts are mixed in a proportion of 1:1 and then added into the basic feed of Litopenaeus vannamei, so that the growth performance of the Litopenaeus vannamei is remarkably improved, the intestinal and hepatopancreas tissue structures are improved, and the immunity is enhanced. Meanwhile, the extracts effectively regulate the intestinal flora structure, increase the abundance and diversity of the intestinal flora, and promote the nutrient absorption and digestion functions. The extracts have a synergistic effect, are low in price, green in environmental protection, safe and free of residues.

Disclosed herein include methods, compositions, and kits suitable for use in cell therapy. In some embodiments, there are provided methods and compositions for differentiating stem cells into pancreatic beta cells capable of producing insulin.

The present disclosure relates to a method of generating pancreatic lineage cells, e.g. islet-like cell aggregates comprising pancreatic beta cells, comprising the steps of providing a single cell suspension of a population of endocrine progenitor cells (EP), allowing the EP cells in the single cell suspension to form 3D structures, and culturing the cells under conditions allowing differentiation into pancreatic mono-hormonal beta cells. The present disclosure also relates to islet-like cell aggregates obtainable by said method and their medical use.

The application discloses a closed-loop artificial pancreas insulin infusion control system, which comprises a detection module, a program module and an infusion module.The detection module is used for continuously detecting a current blood glucose value G.The program module is connected with the detection module, and a mixed artificial pancreas algorithm is preset in the program module, which is used for calculating an insulin infusion amount required by a user.The mixed artificial pancreas algorithm comprises a cPID algorithm and / or a cMPC algorithm.The input of the cPID algorithm is an intermediate value of the MPC algorithm, and the input of the cMPC algorithm is an output value of the PID algorithm.The infusion module is connected with the program module, and the program module sends the insulin infusion amount to the infusion module, and the infusion module infuses insulin according to the insulin infusion amount.Through deep combination of the PID algorithm and the MPC algorithm, the advantages of the PID algorithm and the MPC algorithm are fully utilized, the infusion result is more accurate and reliable, and the precise control of the closed-loop artificial pancreas insulin infusion system is realized.

Embodiments of the present disclosure relates to uses of ivaltinostat for treating cancers in combination with one or more additional anti-cancer agents, in particular patients with metastatic pancreatic adenocarcinoma.

It is revealed that an organ such as pancreas can be regenerated by utilizing a fact that the deficiency of an organ is complemented by injecting an induced pluripotent stem cell (iPS cell) into a developed blastocyst in a blastocyst complementation method. Thus, the present invention has solved the above-described object. This provides a method for producing a target organ, using an iPS cell, in a living body of a non-human mammal having an abnormality associated with a lack of development of the target organ in a development stage, the target organ produced being derived from a different individual mammal that is an individual different from the non-human mammal.

Adaptive on board estimation of exogenous pharmacon responsive to transient (i.e., impermanent) physiological effects is provided. Dynamically estimating an equivalent amount of an exogenous pharmacon on board (XOB), such as insulin and / or carbohydrates, left in the subject, is based on predictions of glucose time-series data. These estimated values, such as insulin on board (IOB), are useful for diabetes management software, including decision support and / or artificial pancreas (AP) algorithms, for example.