34 results about "Endocrine disease" patented technology

Bromocriptine citrate administered to a vertebrate, animal or human, can be used for any purpose including, e.g., the long-term modification and regulation of metabolic disorders, including prediabetes, obesity, insulin resistance, hyperinsulinemia, hyperglycemia and type 2 diabetes mellitus (T2DM) and / or, e.g., the treatment of other medical disorder(s) including immune or endocrine disorders or diseases. Bromocriptine citrate is administered over a limited or extended period at a time of day dependent on re-establishing the normal circadian rhythm of central dopaminergic activity of healthy members of a similar species and sex. Insulin resistance, hyperinsulinemia and hyperglycemia, T2DM, prediabetes, MS or all, can be controlled in humans on a long term basis by such treatment inasmuch as the daily administration of bromocriptine citrate resets neuronal activity timing in the neural centers of the brain to produce long term effects.

Provided are a novel modified side chain, and a preparation method therefor and a use thereof. In particular, provided are a modified side chain as represented by general formula (I), and a preparation method therefor, a pharmaceutical composition containing same, and a use thereof in the preparation of drugs for treating cancer, infections, neuropsychiatric diseases, cardiovascular diseases, endocrine diseases, and immune-related diseases.

The invention belongs to the technical field of biological medicine, and discloses a dry blood spot liquid chromatography-mass spectrometry detection method adaptive to 7 metabolites. According to the method, a pH / polarity double-trigger microcapsule solvent carrier system is adopted, high-polarity extraction solvents, medium-polarity extraction solvents and low-polarity extraction solvents are packaged in the pH / polarity double-trigger microcapsule solvent carrier system in a layered mode, the solvents are released in sequence according to local pH and polarity changes in the extraction process, and amino acid, acyl carnitine, organic acid, bile acid, steroid, fatty acid and glycometabolism intermediate products are efficiently extracted respectively. The method disclosed by the invention breaks through the inherent limitation of a traditional static solvent system, solves the problem of unbalanced recovery rate caused by insufficient solvent suitability in dry blood spot extraction of seven metabolites with great polarity span, and remarkably improves the accuracy, reproducibility and coverage range of a DBS-LC-MS / MS platform in synchronous detection of multi-component metabolites; and reliable technical support is provided for newborn inherited metabolic disease screening, endocrine disease diagnosis and drug metabolism research.

The invention relates to the technical field of artificial intelligence and medical health crossing, discloses an endocrine disease AI auxiliary diagnosis and treatment method and system, and aims at solving the problems that in the prior art, multi-source heterogeneous medical data fusion is difficult, model interpretability is poor, personalized modeling capacity is insufficient, and a system lacks a closed-loop feedback mechanism. The method comprises the steps of collecting multi-source heterogeneous medical data of a patient and performing standardization processing; and constructing a unified patient view, inputting the unified patient view into a multi-task deep learning model, and generating a preliminary diagnosis conclusion in combination with knowledge graph information. According to the technical scheme, deep fusion of medical knowledge and data driving is realized, the diagnosis accuracy and the treatment individualization level are improved, the model interpretability and the clinical credibility are enhanced, a sustainable-evolution intelligent diagnosis and treatment ecological system is constructed, and the diagnosis and treatment efficiency and the clinical decision-making quality are remarkably improved.

The present invention discloses a long-acting GGG triple-target agonist. The compound of the present invention simultaneously achieves excellent agonist ability at the nM level for the three targets of GLP-1 / GIP / GCGR, and can fully excite the corresponding target organ tissue cells. The compound of the present invention can promote insulin secretion and lower blood sugar; it can also inhibit food intake, delay gastric emptying, increase energy consumption, and ultimately observe a weight loss effect. The compound of the present invention can reduce pancreatic β-cell apoptosis, increase the number of pancreatic β-cells, and improve pancreatic cell function. The compound of the present invention can also improve blood lipids, reduce liver fat accumulation, and inhibit the development of liver inflammation. The compound or composition of the present invention can be used to prevent and / or treat metabolic disorders and related complications. The compound or composition of the present invention can be used to treat bone diseases related to endocrine diseases, metabolic disorders, kidney disease, etc., such as osteoporosis and osteoarthritis.

Bromocriptine citrate administered to a vertebrate, animal or human, can be used for any purpose including, e.g., the long-term modification and regulation of metabolic disorders, including prediabetes, obesity, insulin resistance, hyperinsulinemia, hyperglycemia and type 2 diabetes mellitus (T2DM) and / or, e.g., the treatment of other medical disorder(s) including immune or endocrine disorders or diseases. Bromocriptine citrate is administered over a limited or extended period at a time of day dependent on re-establishing the normal circadian rhythm of central dopaminergic activity of healthy members of a similar species and sex. Insulin resistance, hyperinsulinemia and hyperglycemia, T2DM, prediabetes, MS or all, can be controlled in humans on a long term basis by such treatment inasmuch as the daily administration of bromocriptine citrate resets neuronal activity timing in the neural centers of the brain to produce long term effects.

The invention relates to the technical field of medical data processing, in particular to a gynecological endocrine disease long-term follow-up visit and prognosis evaluation system based on artificial intelligence. The system comprises a data acquisition module used for acquiring diagnosis data and sign data of a prognostic person; the time period screening module is used for determining a follow-up visit illness state stability time sequence period and an illness state worsening time period; the diagnosis data analysis module is used for determining a condition deterioration characteristic value by combining the medication condition of the prognostic personnel, the number of times of back-diagnosis in the condition deterioration period and the time interval; the physical sign data analysis module is used for determining a disease condition confidence factor according to the fluctuation of the physical sign data of the prognostic personnel in different disease worsening periods; and the evaluation module is used for adjusting an illness state system evaluation value of the prognostic personnel in combination with the return visit diagnosis times, the illness state confidence factor and the illness state deterioration characteristic value to obtain an illness state adjustment evaluation value, and carrying out risk division on the prognostic personnel. The accuracy of long-term follow-up visit and prognosis evaluation is improved.

According to the endocrine-related disease examination guidance app system and method provided by the invention, based on the analysis of the endocrine disease knowledge graph, the recommended examination items are more targeted, the examination required by the endocrine disease possibly suffered by the patient can be accurately covered, the accuracy of disease diagnosis is improved, the unnecessary examination items are reduced, and the examination efficiency is improved. The medical cost of the patient is reduced. The positioning information of the patient is obtained by calling the positioning function of the mobile phone, and the positioning information and the selected examination item are packaged together and sent to the medical institution adaptation module. The adaptive endocrine examination mechanism is recommended according to the positioning information of the patient, so that the patient can conveniently select a professional adaptive mechanism close to the patient, the trouble that the patient finds a proper examination mechanism is solved, and the medical experience of the patient is improved. And risk assessment is performed on the examination result and a report is generated, so that the patient can know own health condition and potential disease risk in the first time, and further measures can be taken in time by the patient.

The invention discloses an endocrine disease intelligent nursing monitoring system based on multi-modal physiological signals, and relates to the technical field of disease intelligent nursing, the system synchronously collects blood glucose, heart rate, heart rate variability, skin electrical activity, core body temperature and body movement signals through a wearable device and a household terminal, and multi-dimensional features are extracted after filtering and time alignment processing. The fusion module adopts an attention mechanism to perform weighted analysis on multi-source features, and the risk assessment module calculates individual health risk indexes and generates diet, exercise and drug intervention parameters according to dynamic weights output by the model. The system is provided with an interpretability analysis unit which is used for calculating the contribution value of each modal feature to a risk prediction result and supporting traceability and verification of a clinical end. The cloud platform is used for data storage and trend analysis, long-term tracking of patient states and model self-updating are achieved, and the precision and stability of monitoring and nursing are improved.

The utility model discloses an endocrine disease medicine storage device, and belongs to the technical field of medicine storage instruments. The equipment comprises a cylindrical outer shell and a base, a plurality of hexagonal prism storage barrels are arranged on the base in a honeycomb shape, semiconductor chilling plates and micro heating plates are alternately arranged on the inner wall of each storage barrel, and independent and accurate temperature control is achieved through a top temperature control module; a radial guide sliding groove and a spring clamping mechanism are arranged at the bottom and can adapt to medicine bottles of different specifications; the storage cylinder and the sealing cover are both provided with vacuum heat insulation layers, and the sealing performance is enhanced by matching with a silica gel sealing ring. According to the utility model, independent regulation and control, stable sealing and universal clamping of multiple temperature zones are realized, and the problems of large temperature fluctuation, single temperature zone design and poor medicine bottle adaptability of the existing equipment are solved.

The purpose of the present disclosure is to provide a disease onset risk prediction device for predicting the onset risk of an endocrine disease or a metabolic disease from disease-related information regarding a prediction subject.　A disease onset risk prediction device according to the present disclosure includes an information acquisition unit, a prediction unit and an output unit. The information acquisition unit acquires disease-related information regarding a prediction subject. The disease is an endocrine disease or a metabolic disease. The disease-related information contains at least one of information acquired by a health diagnosis and information acquired by the prediction subject. The prediction unit predicts a disease onset risk of the prediction subject from the disease-related information, and the output unit outputs the disease onset risk.

This invention discloses compounds of formula I, wherein X1, X2, and R 1 and R 2 As defined herein, this invention relates to compounds for the prevention and / or treatment of the following diseases, methods of their preparation, pharmaceutical compositions comprising them, and methods of treatment using them: inflammatory diseases, autoinflammatory diseases, autoimmune diseases, proliferative diseases, fibrotic diseases, transplant rejection, diseases involving impaired cartilage turnover, congenital cartilage malformations, diseases involving impaired bone turnover, diseases associated with excessive IL-6 secretion, diseases associated with excessive secretion of TNFα, interferon, IL-12, IL-17, and / or IL-23, respiratory diseases, endocrine diseases, metabolic diseases, cardiovascular diseases, skin diseases, and / or diseases associated with abnormal angiogenesis, wherein the methods are carried out by administering the compounds of the invention.

The invention relates to the technical field of pharmaceutical preparations, and particularly discloses an endocrine drug-derived anti-cancer composition as well as a preparation method and application thereof. The composition comprises a composite solid dispersion composed of an endocrine disease treatment drug metformin, pioglitazone or sitagliptin, a hydrophilic carrier material and a pretreated functional ion exchange resin. The preparation method mainly comprises the following steps: carrying out alkaline swelling and surface modification pretreatment on ion exchange resin, forming a uniform compound from the medicine, the carrier and the resin through a melting-adsorption-curing process, and carrying out nanocrystallization treatment and structure stabilization drying to obtain the nano composite powder. The composition can be used for preparing an oral solid preparation for inhibiting breast cancer, prostatic cancer, endometrial cancer or colorectal cancer, and has the potential advantage of improving drug dissolution and release behaviors by utilizing a composite structure; the preparation method can effectively guarantee the structural integrity and the performance consistency of the preparation, and the operation controllability is high.

The present invention discloses an estradiol biosensor and its construction method and application, belonging to the field of biosensor technology. The estradiol biosensor of the present invention comprises a sensing substrate and a DNA molecular machine; the sensing substrate is a gold electrode modified with an IP-BP double chain; the DNA molecular machine comprises an Aptamer-TP double chain and an FP-N3 probe. The biosensor of the present invention uses an estradiol aptamer probe to specifically identify estradiol, constructs a DNA molecular machine for signal cyclic amplification, and uses an atom transfer radical polymerization (ATRP) reaction to perform polymerization growth of electrical signals, thereby achieving efficient and amplified detection of estradiol, improving detection accuracy and sensitivity, and can be applied to the accurate detection of E2 content in clinical blood samples. It has important application value in research fields such as predicting pregnancy outcomes, endocrine diseases, and precocious puberty.

This invention belongs to the field of biomedical technology and discloses a DBS-LC-MS / MS method for the simultaneous detection of seven types of metabolites in dried blood spots. The method employs a pH / polarity dual-trigger microcapsule solvent carrier system, which internally encapsulates high, medium, and low polarity extraction solvents in layers. During extraction, these solvents are released sequentially according to local pH and polarity changes, efficiently extracting amino acids, acylcarnitines, organic acids, bile acids, steroids, fatty acids, and sugar metabolism intermediates, respectively. This invention overcomes the inherent limitations of traditional static solvent systems and solves the problem of unbalanced recovery rates caused by insufficient solvent compatibility in the extraction of seven types of metabolites with vastly different polarities in dried blood spots. It significantly improves the accuracy, reproducibility, and coverage of the DBS-LC-MS / MS platform in the simultaneous detection of multiple metabolites, providing reliable technical support for newborn screening for inherited metabolic diseases, diagnosis of endocrine diseases, and drug metabolism research.

The invention discloses an intelligent processing system for endocrine disease diagnosis data, which belongs to the technical field of endocrine disease diagnosis data processing and comprises a hospital end, a cloud end and a user end, the cloud comprises a storage module and a reference analysis module; the reserve module is used for performing reserve analysis and establishing a problem reserve library; the benchmark analysis module is used for configuring a baseline model for the user side and configuring a question and answer library for the corresponding user side according to the disease condition data; the hospital end comprises an information gathering module; the information summarization module is used for summarizing information of each patient to obtain hospital detection data, and integrating the hospital detection data and the patient information into disease condition data; the user side comprises an acquisition module and a home analysis module; the acquisition module is used for acquiring home detection data of a user; and the home analysis module is used for performing real-time analysis on the home detection data through a preset baseline model to obtain a baseline risk standard, and analyzing the home detection data according to the baseline risk standard to obtain a home analysis result.

The application belongs to the technical field of disease auxiliary diagnosis, and particularly relates to a traditional Chinese medicine reproductive endocrine disease diagnosis auxiliary system based on a clinical knowledge graph. When a reproductive knowledge graph is constructed by integrating the medical records of reproductive disease patients, the collection of patient's pathogenic environment information is increased, and correlation analysis is carried out on the pathogenic environment to identify the risk pathogenic environment. Then, a search platform based on the reproductive knowledge graph is created. Thus, by inputting the patient's pathogenic symptoms and matching the reproductive knowledge graph, it is judged whether the matching is successful. When the matching is successful, the preferred treatment path matched with the patient's symptoms is output. When the matching fails, the patient's pathogenic environment information is input and matched with the reproductive knowledge graph, and then the potential reproductive disease of the patient is output. Thus, the ability of the reproductive knowledge graph in early warning and preventive intervention is improved, and the application value of the auxiliary diagnosis using the reproductive knowledge graph is greatly improved.

The invention aims at providing a foot nursing device for endocrine diseases, and relates to the technical field of medical instruments, a supporting plate, a collecting basin and a massage frame are arranged on a base, and a sprayer is arranged on the collecting basin; during use, the legs of a patient are supported through the supporting plate, the massage frame is controlled to slide to enable the fixing plate to be tightly attached to the soles of the patient, the rotating plate is rotated to cover the instep, the soles, the instep and the legs supported by the supporting plate can be massaged through the massager, and blood circulation is promoted; the foot of a patient is covered with the claw-shaped structure at one end of the spraying rod of the sprayer, spraying and moisturizing are carried out on the foot of the patient, collection is carried out through the collecting basin, the skin of the foot is kept moist, dryness and desquamation are prevented, and the risk of skin chap is reduced.

Described herein are compounds of Formula (I) that are useful in the treatment of TYK2-mediated diseases. In some embodiments, the TYK2-mediated disease is an autoimmune disease, an inflammatory disease, a proliferative disease, an endocrine disease, a neurological disease, or a disease associated with transplantation.

The invention provides a single-component self-crosslinking hydrogel as well as a preparation method and application thereof in weight management. The hydrogel only contains one component sodium carboxymethyl cellulose, a cross-linking agent does not need to be introduced, a single component is self-crosslinked, washing is not needed, the preparation method is simple, and the preparation cost can be effectively reduced. The hydrogel has a porous structure, has extremely high water absorption swelling capacity and elasticity modulus in the stomach and intestine, generates continuous satiety and reduces intake of heat. The sodium carboxymethyl cellulose serving as dietary fiber can also absorb fat in intestinal tracts, and fat accumulation can be reduced. The gel disclosed by the invention can also avoid the risk that the stomach enters the small intestine to be blocked after being emptied. The compound can be used for preparing food, health care products or medical instruments for preventing or treating overweight or obesity and endocrine diseases caused by obesity.

The invention relates to the technical field of endocrine nursing analysis, and discloses an endocrine nursing effect analysis system based on big data. The system comprises a multi-maintenance nursing data integration module which collects heterogeneous data sources related to endocrine diseases in a hospital information system and generates a structured nursing data warehouse through data cleaning and standardization processing; the nursing feature association network construction module is used for extracting multi-dimensional nursing feature vectors from the structured data warehouse, constructing a single-dimensional feature association graph according to the interaction strength of the feature vectors, and fusing to form a global nursing feature association network; the nursing core feature extraction module is used for calculating the nursing feature dispersion of the multi-dimensional nursing feature vector, and screening to obtain a nursing core feature set in combination with the association strength index of the global association network; and the nursing effect optimization module is used for driving the dynamic adjustment and optimization of the endocrine nursing scheme based on the nursing core feature set. The system realizes accurate adjustment of the nursing scheme, and assists in improving the endocrine nursing effect.

Disclosed are compositions containing human pancreatic islet organoids. The disclosed human pancreatic islet organoid culture systems mimic the morphogenic event in the natural islet development process, thereby enabling spontaneous generation of islet structure with high efficiency and preserving crucial islet structure. Also disclosed are methods of generating human pancreatic islet organoids, wherein the methods require a six-stage culture system. Further disclosed are methods using the in vitro generated organoids and compositions thereof. The in vitro generated organoids are particularly suited for research purposes, providing optimized cell models for the study of pancreatic islet biology, endocrine biology and metabolic disease pathology. The in vitro generated organoids are also particularly suitable for biomarker identification, and evaluation of new molecules and existing therapies for treating metabolic and / or endocrine diseases.

The invention is concerned with a bacterium comprising a phytate to 3-hydroxoypropionate pathway gene set that allows said bacterium to convert phytate to 3-hydroxypropionate or a salt or ester thereof. The bacterium can be used as a probiotic or supplement to promote production of propionate in the Gl tract, thereby preventing and / or treating conditions or diseases that benefit from the production of propionate, for example metabolic disease, metabolic syndrome, obesity, insulin resistance or insulin resistance-related conditions, particularly dyslipidemia, (M)ASLD-(M)ASH, type 2 diabetes mellitus and insulin-resistance in endocrine diseases.

Disclosed herein are compounds and ligands, and compositions formed therewith, which modulate insulin secretion, suppress appetite, and reduce body mass by activating G-protein coupled receptors (GPCRs), such as ectopic olfactory receptors, and transient receptor potential (TRP) ion channels. Also disclosed herein are methods for using the compositions to treat endocrine diseases, such as type-2 diabetes and obesity.

The invention belongs to the technical field of disease auxiliary diagnosis, and particularly relates to a traditional Chinese medicine reproductive endocrine disease diagnosis auxiliary system based on a clinical knowledge graph. Disease environment information collection of a patient is increased when the reproductive knowledge graph is constructed by integrating medical records of the reproductive disease patient, and correlation analysis is carried out aiming at the disease environment; the method comprises the following steps: inputting a disease symptom of a patient to identify a risk disease environment, creating a search platform based on a reproductive knowledge graph, judging whether the matching is successful or not by matching the input disease symptom of the patient with the reproductive knowledge graph, and outputting an optimal treatment path matched with the symptom of the patient when the matching is successful; and when the matching fails, the disease environment information of the patient is input to be matched with the reproductive knowledge graph, and then the potential reproductive disease of the patient is output, so that the capability of the reproductive knowledge graph in the aspects of early warning and preventive intervention is improved, and the application value of the reproductive knowledge graph for auxiliary diagnosis is greatly improved.

The present invention discloses compounds according to Formula (I) wherein X1, X2, Y, R1, L1, R 2, R 3, Cy and the subscript n are as defined herein. The present invention relates to compounds, methods for their production, pharmaceutical compositions comprising the same, and methods of treatment using the same, for the prophylaxis and / or treatment of inflammatory diseases, autoinflammatory diseases, autoimmune diseases, proliferative diseases, fibrotic diseases, transplant rejection, diseases involving impairment of cartilage turnover, congenital cartilage malformation, diseases involving impairment of bone turnover, diseases associated with hypersecretion of IL-6, diseases associated with hypersecretion of TNFα, interferons, IL-12, IL-17 and / or IL-23, respiratory diseases, endocrine diseases, metabolic diseases, cardiovascular diseases, dermatological diseases, and / or abnormal angiogenesis associated diseases by administering a compound of the invention.

The invention discloses a traditional Chinese medicine composition for treating children sexual precocity and application thereof. The traditional Chinese medicine composition is prepared from the following traditional Chinese medicinal materials: vinegar-processed bupleurum chinense, radix paeoniae rubra, thunberg fritillary bulb, bran-fried fructus aurantii, uncaria rhynchophylla, cicada slough, calcined oyster shell, cornu cervi degelatinatum, fried scutellaria baicalensis, fructus forsythiae, liquorice, vinegar-processed turtle shell, rhizoma anemarrhenae, golden cypress, gordon euryale seed, bran-fried cortex ailanthi, radix rehmanniae recen, moutan bark, warm Chinese yam and rhizoma alismatis. The traditional Chinese medicine composition is derived from clinical practice accumulation of Xixi hospital in Hangzhou, and is typical application of the traditional Chinese medicine syndrome differentiation and treatment theory in pediatric endocrine disease treatment. The formula strictly follows the traditional Chinese medicine core principle of'cause solving through verification and dialectical treatment ', all the components form an organic whole in the medicine effect level through accurate raw material screening and scientific dosage matching, the unique effect of a single medicinal material can be played, the synergistic interaction effect of' 1 + 1 > 2 'can be achieved through mutual coordination and mutual promotion, and the traditional Chinese medicine composition has a good application prospect. A very valuable solution is provided for treating the sexual precocious puberty of children.

The invention discloses an endocrine disease treatment and diagnosis device, and relates to the technical field of medical instruments, the endocrine disease treatment and diagnosis device comprises a diagnosis table and a diagnosis cart, the diagnosis table is fixedly connected to the top of the diagnosis cart, and a vein pressure applying mechanism is arranged on the lower surface of the diagnosis table. The vein pressure applying mechanism comprises a rotary connecting column rotationally connected to the lower surface of the diagnosis table, the bottom end of the rotary connecting column is rotationally connected with an arm placing table, the front ends of the two sides of the arm placing table are fixedly connected with ear blocks, and fixed arc-shaped supports are inserted into the two ear blocks; the two ends of the fixed arc-shaped support are fixedly inserted into the two lug blocks respectively, a small air pump is fixedly connected to the front end of the lower surface of the arm placing table, an output port of the small air pump communicates with an air conveying pipe, and the surface of the air conveying pipe communicates with an air outlet pipe. And the blood drawing operation of the medical staff is inconvenient.

The invention discloses an endocrine data analysis method and system, and belongs to the technical field of computers, and the method comprises the steps: obtaining multi-source original data containing hormones, metabolites, signs, images and medical histories; z-score standardization, one-hot coding, K neighbor interpolation and triple standard deviation exception processing are carried out; dividing data subsets and performing dimension reduction based on principal component analysis; constructing a feature map with the principal component as a node and the Pearson's correlation coefficient as an edge; aggregating neighbor information through a two-layer graph convolutional neural network and generating a global embedded vector; and finally, outputting disease probability distribution and diagnosis suggestions through a full-connection classifier. The invention aims to solve the problem of low endocrine disease diagnosis accuracy caused by single data source, lack of standardized preprocessing, ineffective fusion of multi-source heterogeneous indexes and insufficient global structure feature extraction in the prior art.

The present application relates to the technical field of medical data, in particular to an endocrine disease artificial intelligence auxiliary diagnosis and treatment system based on an internet hospital, comprising: a data acquisition module for accessing multi-source data of wearable devices, home detection devices, patient self-reporting, offline medical records and third-party platforms; a time sequence alignment module, in use, the present application is beneficial to breaking through the limitations of the prior art relying on static or single data sources by efficiently fusing and processing multi-channel, fragmented, real-time and cross-platform heterogeneous data, improving data timeliness, providing accurate data support for rapid judgment of emergency conditions, avoiding diagnosis and treatment lag, adjusting personalized treatment plans based on real-time data dynamic diagnosis and treatment, facilitating the change of static scheme recommendation mode, improving the response speed of remote diagnosis and treatment, facilitating the solution of the problem of lag in handling emergency conditions, breaking through the resource barrier through online and offline resource linkage, making online decision-making smoothly land, and being beneficial to improving the auxiliary diagnosis and treatment effect.