37 results about "Thyroid disease" patented technology

Disclosed are compounds that are thyroid stimulating hormone receptor antagonists, and methods useful for preventing or treating a thyroid disease.

The present invention provides methods of treating autoimmune thyroid disease using an antibody, or antigen-binding fragment thereof, capable of specifically binding to TSHR.

The application discloses a thyroid disease prediction method based on machine learning, which comprises the following steps: S1, acquiring relevant sample data of a patient; S2, preprocessing the sample data to obtain processed sample data; S3, constructing a thyroid disease prediction model by using a LightGBM algorithm according to the processed sample data; S4, gradually reducing indexes and evaluating them on a test set to obtain a minimum index set; S5, reconstructing a model according to the index set; S6, analyzing test set data by using the model to obtain an analysis result; S7, judging whether the analysis result meets a preset condition, if yes, proceeding to step S8, otherwise, returning to step S1; S8, analyzing data of a to-be-detected person by using the model to obtain a prediction result; and S9, constructing a three-dimensional reference system of FT3, FT4 and TSH. The application can solve the problem of low accuracy of an existing thyroid disease prediction model and improve the three-dimensional reference system of FT3, FT4 and TSH.

The present application provides a novel thyroid hormone β receptor agonist of formula (I) having better activity, selectivity or safety and the use thereof for preventing or treating diseases related to the action of β receptor agonists, including, for example, obesity, hyperlipidemia, hypercholesterolemia, diabetes, liver diseases (fatty liver, NASH, NAFLD, etc.), cardiovascular diseases (atherosclerosis, etc.), thyroid diseases (hypothyroidism, thyroid cancer, etc.), and the like.

The present application relates to the technical field of traditional Chinese medicine, and in particular, to a traditional Chinese medicine composition, a method for preparing same, and use thereof in preparing a medicament for preventing and treating a thyroid disease. The traditional Chinese medicine composition consists of Ranunculi Ternati radix, Taraxaci herba, Cyperi rhizoma, and Semiaquilegiae radix. The method comprises: mixing and crushing formulation amounts of Ranunculi Ternati radix, Taraxaci herba, Cyperi rhizoma, and Semiaquilegiae radix; or extracting formulation amounts of Ranunculi Ternati radix, Taraxaci herba, Cyperi rhizoma, and Semiaquilegiae radix. The compounding of the four traditional Chinese medicines, Ranunculi Ternati radix, Taraxaci herba, Cyperi rhizoma, and Semiaquilegiae radix, can significantly treat hypothyroidism, thyroid nodules, and the like caused by insufficient thyroid hormones. Compared with the prior art, the traditional Chinese medicine composition features clear ingredients, good safety, and better therapeutic effects, providing technical support for the treatment of thyroid diseases with traditional Chinese medicines.

Prenylated tetrahydroquinolines and quinolines and pharmaceutical compositions comprising the same. Prenylated tetrahydroquinoline and quinolines and pharmaceutical compositions comprising the same, for use in the prevention and / or treatment of peroxisome proliferator-activated receptor (PPAR)-mediated diseases such as metabolic syndrome, type 2 diabetes mellitus, dyslipidemia, hyperlipidemia, hypertriglyceridemia, hypercholesterolemia, obesity, dyslipidemic atherosclerosis, metabolic dysfunction- associated fatty liver disease (MAFLD), cardiovascular disease, cardiometabolic disease, neurodegenerative disease, Friedreich's ataxia, Parkinson's disease, multiple sclerosis, Alzheimer's disease, autoimmune disease, rheumatoid arthritis, autoimmune thyroid disease, dermatological disease, and cancer.

Disclosed are compounds that are thyroid stimulating hormone receptor antagonists, and methods useful for preventing or treating a thyroid disease.

This invention relates to the field of image analysis technology, specifically to a method for prognostic assessment of breast and thyroid diseases combined with AI analysis of pathological images. The method includes the following steps: acquiring pathological slide images and performing grayscale statistics to generate tissue coordinate data; calculating the edge gradient and contour features of pixel neighborhoods; quantifying the morphological aberration features of cell nuclei and constructing a nuclear population potential field; analyzing the potential difference and gradient inversion regions; correcting directional consistency based on the gradient magnitude distribution direction; and finally generating a disease prognostic assessment result. In this invention, stable tissues are screened and coordinate data is generated through grayscale statistics and threshold segmentation of pathological slide images; edge gradients are calculated and closed contours are extracted; cell nucleus axis ratios and contour roughness are quantified; a regular grid is established and distance attenuation is introduced to form a nuclear population potential field; and the potential difference and gradient inversion regions are statistically analyzed and directional consistency is corrected, thereby improving the stability and consistency of the prognostic assessment.

The application relates to the technical field of medical data processing, and discloses a thyroid disease management and health data statistical analysis system. A physiological kinetics model containing a drug metabolism and endogenous secretion mechanism is constructed, discrete detection data are filled in time sequence blanks by using an unscented Kalman filtering algorithm, a continuous physiological panorama conforming to a human mass conservation law and a neural humoral regulation mechanism is generated, a time lag causal tensor construction mechanism with an adaptive causal window is introduced into the system, nonlinear lagging effects of hormone fluctuations on nodule morphological evolution are accurately captured, and deep causal chains of pathological causes and morphological results are restored, finally, an entropy-driven dynamic scheduling module based on information thermodynamics replaces a traditional fixed follow-up mode, a Lyapunov cognitive failure critical point is calculated as an optimal review time by quantizing an uncertainty accumulation process of a disease condition prediction and combining a risk adaptive mechanism.

The invention relates to a microwave-induced thermoacoustic transcranial quantitative imaging method based on a REAGU-Net network, and the method achieves the simultaneous quantitative reconstruction of dielectric constant, conductivity and sound velocity in brain tissue through the MITAT technology, and provides a new methodology for the characteristic analysis of the brain tissue. A REAGU-Net novel network is developed, an attention guiding block and a residual error inducing block are combined to process the influence of acoustic non-uniformity on reconstruction quality, and effective application of deep learning in quantitative reconstruction is shown; the technology not only shows a good result in cerebral hemorrhage detection, but also can be potentially applied to detection and diagnosis of various diseases including breast cancer, liver diseases and thyroid diseases, and a new quantitative analysis tool is provided for clinic; the DL-MITAT method provided by the invention can provide quantized physical characteristic data, and the data not only is helpful for imaging, but also can provide support for physiological information prediction and the like in subsequent electromagnetic treatment; compared with a traditional TCD or ultrasonic imaging method, the transcranial MITAT has the remarkable advantages that due to the fact that ultrasonic waves of the transcranial MITAT only need to be transmitted with the skull for one time, the possibility of image attenuation and degeneration is reduced, and the imaging quality is improved.

Disclosed herein are immunoassays for detecting anti-thyroid peroxidase antibodies in a biological sample from a subject and / or diagnosing a thyroid disease in a subject. The disclosed immunoassays employ recombinant thyroid peroxidase (rTPO) and anti-TPO monoclonal antibodies to assess the level of anti-thyroid peroxidase antibody-induced formation or disruption of complexes comprising a solid support and the rTPO. Also disclosed are methods and kits thereof.

The invention belongs to the technical field of collagen, and particularly relates to a preparation method of deer-horn glue micromolecular collagen and application of the deer-horn glue micromolecular collagen in treating thyroid nodules. According to the preparation method of the deer-horn glue small-molecule collagen, the deer-horn glue small-molecule collagen is prepared from deer flower disc through specific steps of decoction, concentration, enzymolysis and the like, the deer-horn glue small-molecule collagen has an obvious effect on thyroid diseases, and a new scheme is provided for treatment of the thyroid diseases.

The invention provides a metabolic marker composition for distinguishing benign thyroid diseases from thyroid cancer and application of the metabolic marker composition. Based on blood metabonomics data, a diagnosis model capable of accurately distinguishing benign thyroid diseases and thyroid cancer is constructed by screening a specific metabolic marker combination and combining a machine learning algorithm, and the model has relatively high sensitivity and specificity. Based on the constructed diagnosis model, whether the patient suffers from the thyroid cancer or the benign thyroid disease can be judged at the same time only through one-time detection, excessive examination of the patient suffering from the benign thyroid disease can be avoided, excessive diagnosis and treatment are reduced, and excessive panic of the patient is avoided. The thyroid cancer diagnosis model method provided by the invention has the advantages of convenience, economy and convenience in sample acquisition, and is more suitable for large-scale population screening and regular tracking in regions with shortage of medical resources.

The invention belongs to the technical field of knowledge maps and large models, and discloses a breast and thyroid disease preoperative decision support evaluation method based on a large model and a knowledge map, and the method comprises the steps: obtaining the preoperative diagnosis and treatment data of a target patient, and obtaining the preoperative diagnosis and treatment data of the target patient based on a breast and thyroid disease diagnosis and treatment path knowledge map containing specific nodes and relationships; generating a path state vector containing a path identifier, a missing type and a stage code; generating a structured constraint prompt according to a knowledge graph crossing forbidding condition; inputting the two schemes into a trained large model to obtain decision candidate schemes and corresponding path sufficiency arguments; and finally, by calculating the path dependence intensity and the risk stability, screening out a final decision suggestion. According to the method, the problem of incomplete diagnosis and treatment information can be accurately solved, the accuracy, interpretability and risk controllability of preoperative decision making are improved, and clinical actual requirements are met.

The invention discloses a daily iodine content statistical system, which comprises a database module connected with a calculation module, a user interaction interface module, a data chart generation module, a reminding module and a doctor side login module and used for recording initial data and storing the recorded initial data in a database; the user interaction interface module is connected with the database module, the calculation module, the reminding module and the data chart generation module and is used for inputting food types and quantity and generating feedback information; the calculation module is connected with the user interaction interface module, the database module, the data chart generation module and the reminding module and is used for calculating the daily iodine intake of the user; the data chart generation module is connected with the calculation module, the database module and the user interaction interface module and is used for generating a visual data chart according to the iodine intake historical record of the user; the iodine intake can be accurately controlled, accurate data can be provided to assist diagnosis and treatment, and thyroid disease research can be promoted.

The invention discloses a method for establishing a reference interval of thyroid stimulating hormone in the early pregnancy stage of a pregnant woman. The method comprises the following steps: S1, collecting data and establishing a database; s2, performing data processing on the database obtained in the step S1, determining a data distribution type, and determining a reference interval; the interval combination obtained in the invention is convenient for assisting doctors in subsequent diagnosis and treatment, and in combination with the TSH reference interval, the pregnant women with thyroid diseases can be prevented from being neglected through the judgment standard.

The invention relates to the technical field of intelligent medical prediction, in particular to a thyroid disease prediction system based on big data. The thyroid disease prediction system comprises a difference coding module, a mode mining module, a habit feature extraction module, a state matching analysis module and a risk prediction module. According to the thyroid function detection method, the evolution direction and the internal change rule of the thyroid health state are deeply revealed by capturing and symbolizing the dynamic difference of thyroid function detection data of adjacent years instead of only depending on static numerical values; the method comprises the following steps of: performing symbolization processing of an offset direction on living habits such as sleep duration and motion frequency of a subject from a median value of personal quarterly data, and establishing a direct correlation between dynamic change of clinical indexes and individual living behavior offset; and screening out a specific difference combination mode with high frequency and high importance in the group through statistical analysis, and carrying out synchronous change matching on the specific difference combination mode and a living habit offset symbol, so that risk assessment is no longer isolated clinical data interpretation.

The invention discloses a THR-beta receptor agonist as well as a preparation method and a use method thereof. The invention provides a compound as shown in a formula (I), and pharmaceutically acceptable salt or stereoisomer thereof. The agonist provided by the invention has relatively good THR-beta agonistic activity and selectivity and strong liver targeting, and can be applied to metabolic diseases (such as non-alcoholic steatohepatitis (NASH), hepatic steatosis, hyperlipidemia and obesity), cardiovascular diseases (such as atherosclerosis) and thyroid diseases (such as hypothyroidism and thyroid cancer).

The invention provides a metabolic marker composition for distinguishing benign thyroid diseases from early thyroid cancer, and provides an auxiliary diagnosis means independent of invasive biopsy by constructing a diagnosis model based on the metabolic marker composition. The metabolic marker combination can realize functional early warning and diagnosis in an earlier stage of thyroid cancer occurrence, solves the problems of insufficient specificity and high false positive rate in distinguishing benign and malignant thyroid lesions in existing imaging examination, has high sensitivity and specificity, can provide a basis for clinical early intervention, and has a good application prospect. The method is suitable for large-scale population screening and repetitive dynamic monitoring of high-risk individuals.

Compositions, kits, systems, and methods for determining a total TSH concentration in a biological sample and / or determining the presence, severity, and / or predisposition of thyroid disease and / or pituitary disorder in an individual are disclosed. The compositions, kits, systems, and methods utilize at least three antibodies or antigen-binding fragments thereof that specifically bind to TSH, wherein at least one of the three antibodies or antigen-binding fragments thereof specifically binds to a TSH variant so that at least antibody-TSH-antibody sandwich immunocomplexes and antibody-TSH variant-antibody sandwich immunocomplexes can be formed. The methods include determining an amount of total TSH present in the biological sample based on the amount of the two sandwich immunocomplexes formed.

The invention relates to the technical field of traditional Chinese medicine preparations, and particularly discloses a thyroid function regulation and control preparation based on an astragalus membranaceus fermentation extract and a preparation method thereof, and the preparation is technically characterized in that the preparation takes an extract obtained after astragalus membranaceus is fermented by specific microorganisms (such as lactobacillus plantarum) as an active ingredient. Systematic iodine deficiency rat model experiments prove that the fermentation extract has obviously better effects in the aspects of improving thyroid functions and forms (such as adjusting FT3, FT4, TSH and TPO-Ab), enhancing body antioxidant ability (such as improving activity of SOD and CAT of hippocampus and liver) and improving learning and memory behaviors than a traditional astragalus extract. The invention provides an effective scheme for developing an innovative traditional Chinese medicine preparation for comprehensively preventing and treating the iodine deficiency thyroid disease and complications thereof.

1. The name of the design product: graphical user interface for thyroid inquiry of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the user interface displayed in the screen. 4. The picture or photo that best indicates the design points: front view. 5. Other conventional designs, omit rear view, left view, right view, top view, bottom view. 6. The use and interaction of the graphical user interface: for intelligent inquiry of thyroid disease: click "butterfly doctor" in the front view to switch to change state diagram 1; click "start inquiry" in change state diagram 1 to switch to change state diagram 2; click "inquiry professional doctor" in change state diagram 2 to switch to change state diagram 3; click "butterfly doctor" in change state diagram 3 to switch to change state diagram 4; click "text consultation" in change state diagram 4 to switch to change state diagram 5; click "know" in change state diagram 5 to switch to change state diagram 6; click "submit information" in change state diagram 6 to switch to change state diagram 7. Further realize intelligent inquiry.

The invention provides a metabolic marker combination for thyroid cancer diagnosis or auxiliary diagnosis and application of the metabolic marker combination, and belongs to the technical field of in-vitro diagnosis. According to the invention, phosphatidyl ethanolamine 36: 6e, erucic acid, triglyceride 58: 2, lysophosphatidylcholine 22: 5, cholic acid, L-glutamic acid and L-valyl-L-serine are combined to construct a diagnosis model for distinguishing healthy and benign thyroid diseases and thyroid cancer, and the diagnosis model has high diagnosis efficiency and clinical diagnosis significance. Besides, diagnosis models for distinguishing healthy diseases, thyroid benign diseases and thyroid cancer are respectively constructed for 9 metabolic markers and 11 metabolic markers comprising the metabolic marker combination, and the diagnosis models constructed by the 9 metabolic markers and the 11 metabolic markers are proved to have relatively high diagnosis efficiency; healthy and benign thyroid diseases and thyroid cancer can be effectively distinguished, and clinical diagnosis significance is achieved.

The invention belongs to the technical field of traditional Chinese medicine, and particularly relates to application of a traditional Chinese medicine composition in preparation of medicine for treating thyroiditis, and the traditional Chinese medicine composition is mainly prepared from codonopsis pilosula, radix astragali preparata, poria cocos, fried rhizoma atractylodis macrocephalae, prepared polygala tenuifolia, honey-fried licorice root, fried spina date seed, longan aril, angelica sinensis, jujube, elecampane and ginger. All the medicines in the traditional Chinese medicine composition conform to the principle of compatibility of monarch, minister, assistant and guide, compatibility is scientific, clinical cases are considered, pharmacodynamic tests show that the composition can remarkably improve the basic condition of mice suffering from thyroiditis, adjust the levels of thyroid hormones T3, T4 and TSH of the mice, reduce inflammatory factors TNF-alpha and IL-10 and inhibit inflammatory reaction, and clinical tests verify that the composition has a remarkable curative effect on thyroiditis. The traditional Chinese medicine composition can effectively relieve symptoms of patients with thyroiditis, is low in toxic and side effects and good in safety, and has a wide market prospect.

The utility model provides a combined pillow suitable for a thyroid disease patient. Comprising a back pillow, a neck pillow is arranged on the back pillow through a connecting belt, a fixing groove is formed in the back pillow, a first adjusting air bag is installed on the fixing groove, connecting cloth is fixed to the top of the first adjusting air bag, a second adjusting air bag is fixed to the connecting cloth, and a head pillow is fixed to the second adjusting air bag; a fixing belt is fixed to the headrest and connected with the top of a first adjusting air bag, and the first adjusting air bag is communicated with a first inflating ball. The combined pillow suitable for the thyroid disease patient solves the problems that an existing pillow for the thyroid disease patient is single in structure, does not have the height adjusting function and the inclination angle adjusting function, cannot cater to specific illness states of different patients, can find the most suitable body position only by trying various different pillows, and is inconvenient to use. And the use process is too troublesome.

The invention relates to the technical field of food, in particular to a tea leaf preparation for treating thyroid diseases and a production method of the tea leaf preparation. The tea leaf preparation is prepared from the following components in parts by weight: 50 to 70 parts of green tea, 10 to 30 parts of Pu'er tea, 2 to 8 parts of radix salviae miltiorrhizae, 2 to 8 parts of flos rosae rugosae, 5 to 12 parts of processed pericarpium citri reticulatae and 2 to 10 parts of fried semen coicis. The tea leaf preparation provided by the invention can be released when being soaked in hot water, so that the effect of treating / relieving thyroid diseases is achieved.

The invention relates to an integrated flexible thyroid disease detection patch and a detection method, and the patch comprises a multi-mode sensing array layer which is arranged on a flexible substrate, the touch sensing unit is used for detecting the hardness and deformation of tissues, the temperature sensing unit is used for detecting the surface temperature of the tissues, the electrical impedance sensing unit is used for detecting the electrical conductivity and blood supply of the tissues, and the magnetic sensing unit is used for detecting the magnetic field distribution of the tissues; the flexible interconnection circuit layer is connected with the multi-mode sensing array layer and is used for transmitting signals acquired by the multi-mode sensing array layer; the signal acquisition and AI analysis module is connected with the flexible interconnection circuit layer and is used for performing synchronous processing, feature extraction, data fusion and intelligent diagnosis analysis on the acquired multi-mode signals; and an encapsulation layer. Compared with the prior art, the system has the advantages of multi-dimensional information fusion, realization of quantification and standardization, realization of collaborative perception, portability, usability, wearing comfort and stability and the like.

Provided is a method for treating autoimmune thyroid disease by using an antibody capable of specifically binding to TSHR or an antigen-binding fragment thereof.

The invention relates to the technical field of health detection, in particular to a thyroid lesion screening system based on big data, which comprises a data acquisition unit, a data preprocessing unit, an analysis unit and a storage unit, the data acquisition unit can transmit acquired data to the data preprocessing unit. According to the thyroid disease monitoring system, the database with the historical cases is stored in the storage unit, the collected patient data is compared with the historical cases in the case database, and the disease direction of the patient is given according to the thyroid disease types in the similar historical cases, so that when the initial thyroid disease only causes few index changes, the thyroid disease can be accurately detected. The thyroid lesion direction can be confirmed according to similar historical cases, so that a diagnosis reference direction is provided for doctors, specific intervention suggestions are provided, and intervention adjustment on thyroid lesion at the initial stage is facilitated.