42 results about "Digestive disorder" patented technology

The invention provides a method for establishing a diagnosis and treatment system for digestive system disease multi-modal information. The method comprises the following steps: S1, collecting multi-modal information for labeling and preprocessing; s2, extracting a feature vector and embedding a label into the multi-modal information according to the labeled information; s3, splicing and mapping the feature vector and the tag to a unified dimension to obtain an enhanced feature vector; s4, fusing the enhanced feature vectors to form a multi-modal feature matrix, performing linear mapping and weighted aggregation on the multi-modal feature matrix to obtain global fusion vectors, and collecting to generate a fusion vector sequence; s5, enhancing the time sequence information of the global fusion vector sequence, enhancing the spatial information of the spatial relevance of the specific feature of the part, and performing interactive fusion to obtain a spatio-temporal joint feature; s6, performing classification prediction on the disease stage or the specific pathological type, and outputting a diagnosis result; and S7, performing semantic association on the diagnosis result and the medical knowledge graph, sharing data to an online health intelligent platform, and providing a personalized decision basis for clinicians.

The invention relates to the technical field of the Internet of Things, and discloses an animal physiological feature data acquisition system and analysis method based on the Internet of Things, and the method comprises the following steps: cleaning and standardizing original sensor data, including filling missing data, eliminating noise interference through a dynamic filtering technology, unifying the dimension of multi-source data, and analyzing the data; the method comprises the following steps of: acquiring a Beidou time service time reference, eliminating redundant features, interpolating and aligning asynchronous sampling data to the Beidou time service time reference, correcting a time sequence phase difference of physiological and behavior data through a dynamic path matching technology, and correcting GPS / Beidou positioning drift in combination with Kalman filtering. Through multi-source sensing fusion and an edge-fog-cloud cooperative computing architecture, the effective collection rate of animal physiological data is achieved, abnormal response is delayed and compressed, the flexible energy supply technology and dynamic communication optimization are combined, the endurance and communication success rate is maintained in a pasture, and the false alarm rate is reduced compared with a traditional method; common diseases such as abnormal body temperature, digestive system diseases and the like are accurately warned and covered.

The invention belongs to the technical field of pet food, and particularly relates to compound papain containing probiotics and application of the compound papain in pet digestion aiding products. The compound papain is prepared from active ingredients and auxiliary ingredients, wherein the active ingredients are mixed with the auxiliary ingredients; the active component is prepared from papain, bacillus subtilis protease and probiotics; the probiotics are prepared from lactobacillus acidophilus and bifidobacterium lactis. According to the compound papain disclosed by the invention, a double-enzyme design of papain and bacillus subtilis protease is adopted, so that the digestibility is remarkably improved, the digestion function of pets is favorably improved, nutrient substances in pet food are favorably absorbed, and the incidence rate of digestive system diseases is further favorably reduced. Besides, the double-probiotic design of lactobacillus acidophilus and bifidobacterium lactis is added on the basis of the double-enzyme design, so that the digestibility of the pet food can be further improved, the defect of adopting single protease or only depending on protease is overcome, and the method has a relatively good application prospect.

A method and apparatus for treating digestive system diseases, the method comprising: subcutaneously implanting a pulse generator and a plurality of electrodes into the abdomen of a patient, the plurality of electrodes being in electrical contact with a plurality of target areas of the abdomen of the patient; and applying an electrical stimulus to activate the plurality of target regions.

The application relates to a kind of intelligent question and answer methods of digestive system disease based on knowledge graph, specifically to disease learning and question and answer field, through fusing deep semantic understanding and knowledge graph reasoning, the accurate response of complex multi-round question and answer in digestive system disease field is realized;It first aligns the user dialogue with the medical knowledge graph in depth, dynamically focuses on the relevant knowledge subgraph, then explores the logically coherent reasoning path in the subgraph through reinforcement learning, and finally generates traceable answers based on the path and dialogue history;This process ensures that the reply is not only accurate in information, clear in logic, but also has good interpretability;More importantly, by feeding back the quality of the generated answer to the optimization process of the reasoning path, it realizes the end-to-end collaborative optimization from semantic understanding, knowledge retrieval, logical reasoning to language generation, significantly improving the overall performance and practicality of the system.

Helicobacter pylori (HP) is a chronic bacterium that infects the gastric mucosa. It is widespread in the general population, with an infection rate between 55% and 70%. HP is closely related to gastric ulcers and gastritis. Western medicine treatment for HP infection is relatively complex, including bismuth substituents and proton pump inhibitors plus two antibiotics. Gastric ulcers and gastritis are common digestive system diseases. Compound 1, "Exterminate the Ghost," is a traditional Chinese medicine composition mainly composed of Coptis chinensis, plus Scutellaria baicalensis and Fraxinus chinensis, which can eradicate HP. Compound 2, "Ulcer Relief," is a traditional Chinese medicine composition mainly composed of Coptis chinensis, plus Rheum palmatum and Bletilla striata, which can cure gastric ulcers. Compound 3, "Gasitis Relief," is a traditional Chinese medicine composition mainly composed of Coptis chinensis, plus Glycyrrhiza uralensis or Taraxacum mongolicum, made into a tea bag, which can cure chronic gastritis.

This invention discloses a traditional Chinese medicine composition comprising Codonopsis pilosula, Atractylodes macrocephala, Poria cocos, Glycyrrhiza uralensis (processed), Citrus reticulata peel, Torreya grandis, Citrus medica, Rosa rugosa, Hippophae rhamnoides, Kaempferia galanga, and Amomum tsao-ko. This composition is specifically designed for individuals requiring improved digestive function, aiming to address indigestion caused by factors such as irregular eating habits and excessive physical activity. This invention utilizes the synergistic effects of multiple traditional Chinese medicinal herbs to not only enhance digestive capacity but also improve the body's immune function. The efficacy and safety of this composition were demonstrated through tests on the general survival status, small intestinal propulsion rate, gastric emptying rate, gastrointestinal hormone levels, and immunoglobulin levels in rats. Therefore, this traditional Chinese medicine composition can serve as a novel treatment option, providing a natural, safe, and effective alternative therapy for patients with digestive disorders; it is also suitable as a daily health supplement to help maintain a healthy digestive system and strong immunity.

The invention relates to the technical field of biological medicine manufacturing, discloses an ancient herbal enzyme oral liquid for treating digestive system diseases and a preparation method, and aims to solve the problems that in the prior art, adaptability of strains and herbal fibers is insufficient, directional enzyme production induction is deficient, probiotic activity retention is poor, and a flora, fiber and enzyme cooperative closed loop cannot be constructed. The preparation method comprises the following steps: by taking genuine hemp seeds, Chinese herbaceous peony and the like as raw materials, matching with rhizosphere-separated saccharomyces cerevisiae Y-01, lactobacillus acidophilus L-03 and bacillus coagulans C-05, carrying out three-step directional fermentation of substrate pretreatment, flora colonization and enzymatic synthesis to produce CAZymes and SCFA, embedding probiotics through trehalose-chitosan, compounding a stabilizer adaptive preparation, and adjusting the ratio of the raw materials according to an IBS subtype. The fiber degradation efficiency and the functional product synthesis efficiency are improved, the gastric acid tolerance and the storage stability of the probiotics are enhanced, different IBS subtype requirements are met, and an effective means is provided for treatment of digestive system diseases.

The invention discloses a compound targeting AT1R, which is composed of a target head molecule targeting AT1R, a PEG linker, an aspartic acid linker and a chelating agent, and can be used as a component of a PET tracer agent targeting AT1R. A target head molecule can be embedded into a hydrophobic'pocket 'of AT1R protein, so that high-affinity and high-selectivity targeted binding is realized; the PEG connexon can prolong the residence time of the PET tracer agent targeting the AT1R at the tumor part; different numbers of aspartic acids can regulate and control the pharmacokinetic properties of the PET tracer agent targeting the AT1R, reduce the liver and gall and intestinal signal backgrounds of the PET tracer agent targeting the AT1R, and improve the target-to-cost ratio. Therefore, accurate diagnosis and treatment of digestive system diseases such as digestive tract tumor and liver cancer can be realized. The invention further discloses a PET tracer agent targeting AT1R as well as a preparation method and application of the PET tracer agent.

A modified Ac-TMP-2 protein lacks one or a plurality of acidic C-terminal amino acids normally present in a full-length or wild-type Ac-TMP-2 protein and may also lack one or a plurality of N-terminal amino acids while retaining the amino acid sequence C—S—C at or near the N-terminus. The modified Ac-TMP-2 protein may be useful in method and composition for reducing or alleviating inflammation in a subject. Inflammation may be associated with a disease is a disease of the digestive tract such as chronic gastritis or an inflammatory bowel disease such as Crohn's disease or ulcerative colitis, or a disease of the respiratory system, such as asthma, emphysema, chronic bronchitis, and chronic obstructive pulmonary disease.

The novel invention is based, at least in part. on the surprising finding that the combination of bacterial strains comprising P. freudenreichii JS27 and B. longum subsp. infantis, particularly B. longum subsp. infantis TPY12-1 can be used in medicine and / or as a food supplement when grown simultaneously. As such and as shown in the description and appended examples, growth and viability of bacterial strains possessing synergistic behavior can be enhanced in the human gut and thus can increase bioavailability as compared with alternative combinations of bacteria.

The invention provides immortalized adipose-derived mesenchymal stem cells as well as a preparation method and application thereof, and belongs to the technical field of cells, the preparation method comprises the following steps: separating adipose tissues, constructing cells to be screened by the obtained adipose-derived mesenchymal stem cells, and screening to obtain the immortalized adipose-derived mesenchymal stem cells; the immortalized adipose-derived mesenchymal stem cells are used for treating neurological diseases, respiratory system diseases, cardiovascular diseases, osteoarticular diseases, urinary system diseases, digestive system diseases, skin diseases or autoimmune diseases. According to the invention, by preparing the immortalized canine adipose-derived mesenchymal stem cells and utilizing an intranasal administration mode, the nervous system degenerative diseases can be safely and effectively relieved.

Described herein are methods for treating or preventing a disease or disorder of the pulmonary system (e.g., cystic fibrosis), respiratory or digestive system in a subject, the methods comprising administering compounds or compositions comprising water soluble polyglucosamine and derivatized polyglucosamine.

The invention relates to an inflammatory environment induced overexpression 1L-10 engineered macrophage and a construction method and application thereof, and belongs to the field of biomedicine.The construction method includes the steps that a recombinant plasmid for expressing IL-10 is constructed with a genetic engineering method, and an RAW264.7 macrophage is jointly transfected with the constructed recombinant plasmid for expressing IL-10 and a Cas9 plasmid, so that the engineering macrophage with the inflammatory environment induced overexpression 1L-10 is obtained, and the engineering macrophage with the inflammatory environment induced overexpression 1L-10 is obtained. According to the method, the IL-10 gene is used for replacing the position of the IL-1 gene in the RAW264.7 macrophage, so that the RAW264.7 macrophage can express IL-10 under the induction of an inflammatory environment, the constructed engineered macrophage is injected into the abdominal cavity of a colitis model mouse in an intraperitoneal injection manner, the macrophage is positioned to the colitis disease part and secretes an anti-inflammatory cytokine IL-10 due to the inflammatory chemotaxis of the macrophage, and the anti-inflammatory cytokine IL-10 is obtained. The effect of relieving intestinal inflammation is achieved. According to the invention, the development of ulcerative colitis treatment technology is facilitated, and the application of a macrophage-based cell treatment method in treatment of digestive system diseases is promoted.

Provided herein are methods of treating ST-elevation myocardial infarction (STEMI) and diseases of the digestion system using β-1,3 / 1,6-D-glucan derived from mycellium extract of Ganoderma lucidum. Methods of treating ST-elevation myocardial infarction (STEMI) and diseases of the digestion system using a polysaccharide comprising β-1,3 / 1,6-D-glucan are also provided.

This invention belongs to the field of multi-omics data integration technology. It discloses a system for screening multiple disease biomarkers from the gut microbiota metabolome. The system performs batch-to-batch drift correction based on the comparison values ​​of internal reference metabolites on metabolomic mass spectrometry data from multiple disease and healthy control groups. Then, it calculates the covariant stability index between metabolites and microbial species, and constructs a constrained metabolite association network by combining metabolic pathway topological distance. Based on this, the system integrates pathway constraint betweenness centrality and disease effect size to calculate network-enhanced discriminant scores, performs dimensionality reduction according to the principle of maximum coverage and minimum redundancy, and simultaneously evaluates the stability baseline values ​​of biomarker-related ecological functional modules. Finally, using ecological stability as a constraint, the system optimizes the discriminative power of multiple diseases through marginal contribution evaluation, outputting a balanced and efficient biomarker panel. This invention achieves systematic integration of microbiome and metabolome data, providing a reliable tool for the accurate diagnosis of digestive system diseases.

The application provides an article information pushing method combining article attributes and user preferences, comprising: obtaining digestive system disease types, digestive tract absorption capacity, digestive fluid secretion conditions and physiological characteristic data related to digestive function of a plurality of users, grouping the users through a clustering algorithm to obtain user groups with different digestive function characteristics; obtaining dosage form, particle size and surface area attribute information of health products, reducing the dimensions of the health products through principal component analysis according to disintegration time, dissolution rate and osmotic pressure characteristics of the dosage form to obtain a key attribute set of health products with different dosage forms; obtaining health product information searched by the user and digestive condition data of the user, and judging whether the user belongs to a group with weak digestive tract absorption capacity or a group with normal digestive function according to a set digestive threshold.

The invention discloses a digestion health monitoring system based on artificial intelligence, and the system collects multi-source heterogeneous digestion health data in real time through multiple channels, and constructs a structured knowledge system covering the digestive organ structure, the physiological process, the disease symptom and other contents through a knowledge graph technology. And the long-distance dependency relationship of the data is effectively captured by means of an improved Transform-XL model. The system realizes deep interaction between a knowledge graph and coded data, accurately extracts key characteristics of digestive health through a multi-layer neural network, completes health state prediction and evaluation in combination with a professional evaluation model, and performs visual optimization output on a result. Meanwhile, model parameters are dynamically adjusted based on knowledge graph updating, and stable system performance is ensured. The system overcomes the defects of a traditional monitoring means, efficient processing and accurate analysis of digestion health data are achieved, intelligent, real-time and comprehensive digestion health monitoring service is provided for users, and early discovery of digestive system diseases and health management are assisted.

The application provides a method for establishing a digestive system disease multi-modal information diagnosis and treatment system, S1, collecting multi-modal information for labeling and preprocessing; S2, extracting a feature vector and embedding a label to the multi-modal information according to the labeled information; S3, splicing and mapping the feature vector and the label to a unified dimension to obtain an enhanced feature vector; S4, fusing the enhanced feature vector to form a multi-modal feature matrix, performing linear mapping on the multi-modal feature matrix, obtaining a global fusion vector after weighted aggregation, and generating a fusion vector sequence; S5, enhancing the time sequence information of the global fusion vector sequence and the spatial information of the spatial correlation of the part-specific feature; interactive fusion to obtain a space-time joint feature; S6, classifying and predicting the disease stage or specific pathological type, and outputting a diagnosis result; S7, realizing semantic association between the diagnosis result and a medical knowledge graph, sharing data to an online health wisdom platform, and providing personalized decision-making basis for clinical doctors.

The application provides a traditional Chinese medicine composition for improving digestive system diseases caused by brain-gut disorder, which is made of the following traditional Chinese medicines in parts by weight: Gastrodia 1-35 parts, Astragalus 1-35 parts, Fructus Alpiniae oxyphyllae 1-20 parts, Atractylodes 1-20 parts, Hypericum 1-20 parts, Cinnamomum 1-10 parts, and Dried Ginger 1-10 parts, and further provides a preparation method and application of the composition. The traditional Chinese medicine composition can intervene in the brain-gut disorder related digestive system diseases from the perspective of brain-gut interaction, has the effects of improving anxiety and depression-like behaviors, reducing visceral pain sensitivity, protecting and repairing intestinal mucosal barrier, reducing intestinal local inflammatory response, and regulating intestinal flora structure, so as to realize the comprehensive regulation of emotional abnormalities and digestive system symptoms in brain-gut disorder related digestive system diseases, and has a good clinical application prospect.

The invention discloses an anti-helicobacter pylori monoclonal antibody as well as preparation and application thereof, and belongs to the technical field of medical detection. The antibody is prepared by taking inactivated helicobacter pylori ATCC 43504 whole bacteria as an immunogen, immunizing a New Zealand white rabbit and then carrying out single B cell sorting, limited dilution, gene cloning, plasmid construction and eukaryotic cell expression, has a specific CDR core sequence, is high in specificity and affinity, can accurately recognize a helicobacter pylori specific antigen, and can be used for preparing a specific antibody. The cross reaction with other bacteria or tissue impurities is effectively avoided. The kit can be used for detecting the helicobacter pylori, and a new tool and method are provided for pathological diagnosis of helicobacter pylori infection and related digestive system diseases.

Disclosed herein are the use of thiazolidinediones for the treatment of digestive diseases including gastroparesis.

The application relates to the technical field of disease prediction, in particular to a digestive system severe disease early warning detection method, device and equipment, wherein the method comprises the following steps: acquiring patient multi-modal data information, wherein the patient multi-modal data information comprises clinical symptoms, laboratory examination and imaging examination; a clustering model is constructed and trained to obtain a plurality of clustering sets; the patient multi-modal data information is input into a target clustering set in the clustering model; whether the patient multi-modal data is abnormal is judged; if the patient multi-modal data information is abnormal, a probability model is constructed; the target clustering set is generated to generate a severity label and is input into the probability model to obtain a probability result of severe disease severity evaluation; hierarchical early warning is carried out according to the probability result; and clinical decision is made according to the hierarchical early warning. Therefore, the problems that a same method cannot be used to evaluate a plurality of digestive system diseases, the evaluation results of diseases are different, and diseases are not timely evaluated in the prior art are solved.

A process of manufacturing a children formula in a powder or solution form comprising the steps of mixing homogeneously nutritional components and a supplementary composition containing 2′-fucosyllactose (2′-FL) and fructo-oligosaccharide (FOS), such that when the children formula is fed to the child a chance of the child developing digestive disorders and respiratory infection is reduced, wherein a ratio between 2′-fucosyllactose (2′-FL) and fructo-oligosaccharide (FOS) is 1:(16-100) (w / w); in which the fructo-oligosaccharide (FOS) includes Oligofructose and Inulin, and a ratio between Oligofructose and Inulin is 1:1 (w / w).

The invention relates to the technical field of disease prediction, in particular to an early warning detection method, device and equipment for severe diseases of a digestive system, and the method comprises the steps: obtaining multi-modal data information of a patient, the multi-modal data information of the patient comprises clinical symptoms, laboratory examination and iconography examination; constructing and training a clustering model to obtain a plurality of clustering sets, inputting the multi-modal data information of the patient into a target clustering set in the clustering model, judging whether the multi-modal data information of the patient is abnormal or not, if the multi-modal data information of the patient is abnormal, constructing a probability model, and if the multi-modal data information of the patient is abnormal, determining whether the multi-modal data information of the patient is abnormal; generating a severity label from the target cluster set, and inputting the severity label into a probability model to obtain a probability result of severity assessment of the severe disease; and performing graded early warning according to a probability result, and performing clinical decision making according to the graded early warning. Therefore, the problems that in the prior art, various digestive system diseases cannot be evaluated by using the same method, and results are different and not timely when the diseases are evaluated are solved.

A system (100) for health diagnosis using breath of user and lifestyle assessment is disclosed The system includes a breath analyzer device (110) that includes a breath chamber (120) to receive exhaled breath and detect concentration level of acetone, hydrogen, ethanol, hydrogen, ammonia, carbon monoxide, hydrogen sulphide, 5 lung capacity, hydrogen, methane, ammonia and hydrogen sulphide. The plurality of sensors (130) captures a photoplethysmography signal. A receiving module (160) receives data and the photoplethysmography signal. A disorder score generation module (170) analyses the data to generate a diabetic score, liver disorder score, respiratory disorder score, digestive. A nutrient score module (180) calculates a 10 nutrient score. A lifestyle score module (190) calculates a lifestyle score. A display module (200) displays diabetic score, liver disorder score, respiratory disorder score, digestive disorder score, kidney disorder score, nutrition score, lifestyle score, and the plurality of health parameters via a user interface.

A closestool type urine and excrement detection robot and an Internet-of-Things system thereof. The closestool type urine and excrement detection robot comprises: an intelligent moving module (15), an interaction system module (32), a height adjustment module (19), a user identity identification module (28), a closestool structure module (13), a urine gross recognition detection module (11), an odor detection module (25, 33), a urine component detection module (51), an excrement gross recognition detection module (14), an excrement component detection module (108), a cleaning flushing module, a waste treatment module (21), a wireless communication module (30), a central data processing module (24), a data security module, a battery and charging module (20), and a device maintenance module. The urine and excrement detection robot can automatically reach a preset position, provide urination and defecation behavioral monitoring and urine and excrement component detection for a user, and screen urinary and digestive system diseases as soon as possible; device maintenance, data processing, and medical support are provided by means of an Internet of Things system, and the Internet of Things system can also be used in cooperation with a squatting pan or a pedestal pan of the user; a closestool structure is customized according to the individuation of the user, and therefore, efficient, convenient and intelligent urine and excrement detection experience is provided for the user.

A hybrid DNA / RNA molecule, or a complex thereof with at least one nanoparticle, may be used for the prevention or treatment of a disease, in particular a disease of the digestive system.

This invention discloses a method, device, equipment, and storage medium for monitoring and regulating the feeding of chickens, including: acquiring the physical state characteristics of the chicken's crop; acquiring the chemical composition characteristics of the corresponding chicken excrement after a preset time interval; determining that the chemical composition characteristics of the chicken excrement are higher than the undigested food threshold; and outputting a feed adjustment command when the chicken's health status classification result indicates a digestive disorder. This embodiment achieves digestive disorder monitoring by combining the physical state of the chicken's crop with the chemical composition characteristics of its excrement. By determining that the crop is in a full range, it ensures that the chicken is in a normal feeding state, eliminating pathological abnormalities. Feed adjustment commands are only output promptly when a digestive disorder is detected, correcting nutritional imbalances, reducing waste of high-protein feed, and saving feed costs. Simultaneously, it reduces the nitrogen and undigested protein content in the excrement, lowering manure treatment costs and achieving energy conservation and emission reduction effects.

The application discloses a formula milk powder for piglets, which contains raw cow milk, whey powder, whey protein concentrate powder, casein, nutritional fortifier, oligosaccharide, compound mineral, compound amino acid, compound vitamin and probiotic bacteria. The formula milk powder for piglets is obtained by mixing the raw cow milk, the whey powder, the whey protein concentrate powder, the casein and the nutritional fortifier, adding the compound mineral, the compound amino acid and the compound vitamin, filtering, homogenizing, sterilizing and concentrating, spray drying, fluidized bed drying and adding the probiotic bacteria. The formula milk powder for piglets prepared by the application is rich in probiotic bacteria, nutritional fortifier, vitamin, amino acid, mineral and other nutrients, can meet the nutritional needs of the piglets for rapid growth, and can reduce the probability of digestive disorders, diarrhea and death of the piglets and promote the healthy growth of the piglets.