249 results about "Thyroid cancer" patented technology

The invention relates to the field of medical informatization. The invention discloses a thyroid cancer electronic medical record system based on multi-modal data fusion. The thyroid cancer electronic medical record system comprises a multi-modal data acquisition module which acquires patient texts, ultrasonic images, genes, biochemical indexes and clinical data and performs standardized calibration to generate standard data; the multi-modal feature extraction module extracts semantic, structure, mutation, change and fluctuation features of each standard data through multiple technologies; the single-mode prediction model construction module constructs single-mode prediction models of texts, images and the like based on the features and outputs results; and the multi-modal fusion prediction module fuses the single-modal model based on the deep learning framework to output a multi-modal fusion prediction result. According to the invention, multi-modal data are integrated, and the accuracy and comprehensiveness of thyroid cancer diagnosis are improved. The system ensures consistency through standardized data processing, and assists doctors to accurately judge pathological types, recommend therapeutic schedules and evaluate prognosis by means of a multi-modal feature extraction and fusion mechanism.

The present invention relates methods for treating thyroid cancer, renal cell carcinoma or hepatocellar carcinoma comprising orally administering to a patient in need of such therapy a therapeutic amount of cabozantinib lauryl sulfate salt, preferably in a capsule form. The method allows the administration of the therapeutic amount of cabozantinib lauryl sulfate salt in a fed state or a fasted state and the administration does not exhibit a food effect.

The present invention relates methods for treating thyroid cancer, renal cell carcinoma or hepatocellar carcinoma comprising orally administering to a patient in need of such therapy a therapeutic amount of cabozantinib lauryl sulfate salt, preferably in a capsule form. The method allows the administration of the therapeutic amount of cabozantinib lauryl sulfate salt in a fed state or a fasted state and the administration does not exhibit a food effect.

The invention provides a thyroid cancer auxiliary diagnosis and metastasis risk prediction method based on deep learning, and relates to the technical field of artificial intelligence auxiliary medical treatment, and the method comprises the steps: extracting ultrasonic image multi-scale features through a self-adaptive neural architecture search network, combining clinical examination data, fusing diagnosis and treatment knowledge through a neural symbol inference device, and carrying out the prediction of the metastasis risk. Generating a knowledge enhancement feature map; constructing a feature propagation field by using a dynamic neural field network, solving a dynamic evolution equation, and generating a spatial-temporal feature field representing the dynamic change of focus features; constructing a tumor diffusion kinetic model by using an implicit neural representation network and a nerve ordinary differential equation network, calculating a transition probability based on an optimal transmission algorithm, solving an optimal control equation, and outputting a metastasis risk prediction result of each organ; the thyroid cancer diagnosis accuracy and metastasis risk prediction reliability can be effectively improved, and doctors can be assisted in accurate diagnosis and treatment.

The invention discloses a thyroid cancer pathological image classification method and system based on multi-modal feature fusion and Bayesian optimization, and relates to the technical field of medical image processing, and the method comprises the steps: collecting a thyroid ultrasound image data set, and carrying out the preprocessing operation; extracting an improved local binary pattern feature, a Haralick texture feature and a VGG16 depth feature, and constructing a mixed feature space; and splicing the features in the mixed feature space into a 4119-dimensional mixed feature vector, and carrying out feature importance screening by utilizing ExtraTres. Improved local binary pattern features, Haralick texture features and VGG16 depth features are fused, a mixed feature space is constructed, feature importance screening and PCA dimension reduction are performed by using ExtraTrees, multi-level features of the image are effectively extracted, the accuracy of benign and malignant thyroid nodule classification is remarkably improved, meanwhile, network hyper-parameters are dynamically adjusted through a Bayesian optimization algorithm, and the classification accuracy of benign and malignant thyroid nodules is improved. And model convergence is accelerated in combination with a cosine annealing strategy, so that the generalization ability of the model is enhanced, and the model can be excellently expressed on different data sets.

The present invention addresses the problem of providing a novel compound that has a thyroid-stimulating hormone receptor antagonistic activity and is useful for the treatment of thyroid-related diseases. The present invention relates to a nitrogen-containing condensed ring compound represented by formula (A-I) or a pharmacologically acceptable salt thereof. The present invention relates to a nitrogen-containing condensed ring compound represented by formula (A-I) or a pharmacologically acceptable salt thereof. The compound or the pharmacologically acceptable salt thereof according to the present invention has an antagonistic activity against thyroid-stimulating hormone receptors and is therefore useful as a therapeutic agent for thyroid-related diseases (e.g., hyperthyroidism, Graves' disease, thyroid eye disease, and thyroid cancer) and others.

The invention discloses a differentiated thyroid cancer lung metastasis risk prediction model construction method and system. 4D Label-free quantitative proteomics analysis and PRM and IHC dual verification are carried out on primary focus paraffin embedded tissue samples of lung metastatic DTC patients and non-lung metastatic DTC patients, and it is found that multiple key differential expression proteins DEPs may become potential biomarkers for predicting the DTC lung metastasis risk. In addition, the sample size is enlarged, three single and combined DTC lung metastasis risk prediction models are respectively constructed based on clinical features and key DEPs expression, then internal verification is performed on the efficiency of the three fitted models, and the optimal model is taken to construct Nomogram. According to the method, help is provided for risk stratification of lung metastasis of DTC patients, and an important basis is provided for formulating clinical individualized treatment schemes and follow-up visit strategies for high-risk patients.

It is an object of the present invention to provide drugs that bind specifically to FAPα, are effective in the treatment and diagnosis of tumors or cancers expressing FAPα, for example, in the treatment and diagnosis of solid cancers such as pancreatic cancer, sarcoma, esophageal cancer, lung cancer, breast cancer, prostate cancer, head and neck cancer, ovarian cancer, colon cancer, neuroendocrine tumor, thyroid cancer, uterine cancer, liver cancer and the like (particularly, pancreatic cancer), and have a lower risk of prolonged side effects. The present invention provides a conjugate comprising a radioactive moiety comprising an aryl group substituted with a radionuclide selected from 211At, 210At, 131I, 125I, 124I, 123I, 77Br and 76Br, and a bioactive moiety having an affinity for fibroblast activation protein α (FAPα).

The invention relates to the technical field of virtual reality, in particular to a thyroid cancer postoperative intelligent follow-up management system, which comprises a wound feature construction module for acquiring a thyroid cancer postoperative patient wound image, extracting a wound edge contour coordinate point set, calculating a wound region area and acquiring a wound morphological parameter set; based on the wound morphological parameter set, the healing progress percentage is analyzed, and a wound dynamic evaluation matrix is established. According to the method, intelligent upgrading of postoperative rehabilitation management is achieved by collecting wound characteristics, calculating the healing progress, matching the nursing track, synchronizing the virtual reality environment, optimizing follow-up scheduling and establishing remote interaction. High-precision dynamic healing evaluation is provided for extraction of the edge contour of the wound and calculation of morphological parameters, and errors caused by judgment depending on experience are avoided. Nursing actions are combined with space coordinate conversion and real-time trajectory optimization, it is ensured that rehabilitation training of the patient has a standardized execution mode, and the situation that the recovery progress is affected by random operation is avoided.

The invention provides an engineered membrane coated nano drug delivery system and application thereof, and belongs to the technical field of nano biomedices.The drug delivery system comprises an inner core combined with a drug, the inner core is coated with a cell membrane, based on the nano drug loading technology and the membrane coating technology, DOX and SRF are loaded on mPDA mesoporous nanoparticles, and thyroid cancer synergistic killing nanoparticles mPDS are formed; the bionic drug delivery system is characterized in that mPDS is used as a target drug delivery system, mPDS is coated with a genetically engineered tumor cell membrane, a dual-targeting membrane-coated nano drug delivery system (mPDS-coated CAR-M) is obtained, and the bionic drug delivery system can penetrate through thyroid cancer in a targeted manner, gather in a focus and reduce side effects of chemotherapy; when near-infrared irradiation is carried out on local tumor, DOX and SRF in mPDS are released, the synergistic effect of photothermal therapy-chemotherapy-targeted therapy is achieved, and the thyroid cancer is killed synergistically.

The invention discloses a thyroid cancer analysis method and device based on real-time fluorescent quantitative PCR. The method comprises the following steps: acquiring to-be-analyzed data; determining sample exclusive threshold line data according to the to-be-analyzed data; calculating a corrected Ct value based on double inflection point dynamics according to the exclusive threshold line data of the sample so as to obtain a final corrected Ct value; and generating a detection result according to the final corrected Ct value. Through optimization processing of the curve fitting algorithm, the linear characteristic of the fluorescence amplification curve is remarkably improved, the interference of background noise on the result is reduced, and the calculation stability of the Ct value is improved.

The invention relates to the technical field of medical risk assessment, in particular to a thyroid cancer risk assessment system and device based on multiple modes. The system comprises a data preprocessing module used for unifying formats and scales of radiomics images, transcriptomics data and clinical medicine texts; the multi-modal feature extraction module is used for extracting image data features by adopting 3D ResNet-34 as a bottom feature extractor and combining a deformable convolution technology; performing feature selection on the exosome miRNA data through a machine learning model, and performing importance sorting on features through an SHAP method; performing feature extraction on the clinical medicine text data through a multi-granularity semantic fusion network architecture; the cross-modal dynamic fusion module is used for aligning and fusing features; and the decision and interpretability module is used for generating a diagnosis result and providing interpretability analysis. According to the technical scheme, the accuracy and efficiency of thyroid cancer risk assessment can be improved.

The invention discloses a method for identifying benign and malignant thyroid nodules. The invention provides application of a reagent for detecting the expression level of genes in a sample of a subject to preparation of a kit for diagnosing or predicting thyroid cancer of the subject or identifying benign and malignant thyroid nodules of the subject, wherein the genes comprise one or more genes selected from the group consisting of TPO, SLC5A8, SLC26A4, GLIS3, DIO1, DIO2, TG, SLC5A5 and NKX2-1. The invention also provides a corresponding device and a kit.

The invention belongs to the technical field of thyroid cancer preoperative evaluation, and particularly relates to a thyroid cancer patient recurrent laryngeal nerve invasion evaluation system. The system comprises an input module used for inputting ultrasonic detection data and clinical diagnosis data of a patient; the prediction module is used for extracting features from the ultrasonic detection data and the clinical diagnosis data and calculating the features by utilizing a prediction model to obtain a recurrent laryngeal nerve invasion evaluation result; and the output module is used for outputting the recurrent laryngeal nerve invasion evaluation result. According to the method, the ultrasonic diagnosis features and the clinical diagnosis features are optimized, and the prediction model is constructed, so that accurate evaluation of the invasion condition of the recurrent laryngeal nerves of the thyroid cancer patient before the operation is realized, and the method has a good application prospect.

To provide a pharmaceutical composition comprising a novel compound which has a thyroid-stimulating hormone receptor antagonist activity and is useful for the treatment of thyroid-related diseases.SOLUTION: There is provided a pharmaceutical composition comprising a 3,4-dihydroquinolin-2(1H)-one compound represented by a formula (I) or a pharmacologically acceptable salt thereof. A pharmaceutical composition comprising the compound or the pharmacologically acceptable salt thereof has an antagonist activity against thyroid-stimulating hormone receptors and is useful as a therapeutic agent or the like for thyroid-related diseases (for example, hyperthyroidism, Graves' disease, thyroid eye disease and thyroid cancer).SELECTED DRAWING: None

Theranostic targeted ultrasonic blasting nano-bubbles, a preparation method therefor, and use thereof, wherein the nano-bubbles are the targeted drug-gene nano-bubbles miRNA / FTY720 / PFP@PEI-T7 NBs. The nano-bubbles can be used for preparing a thyroid ultrasound diagnostic agent or a drug for treating thyroid cancer.

A nitrogen-containing polycyclic fused ring compound of formula I, a pharmaceutical composition thereof, a preparation method therefor and use thereof are related to the field of medicinal chemistry. The compound can be used as a selective and effective RET inhibitor. It has strong inhibitory effect on the RET gatekeeper residue mutant RET V804M, RET solvent-front residue mutant RET G810R and other clinically relevant RET mutants, as well as RET wt. The compound can also inhibit the growth of TT cell line derived from thyroid cancer and Ba / F3 cells transformed with various RET mutants, and induce the death of TT cells.

The present invention addresses the problem of providing a novel compound that has a thyroid-stimulating hormone receptor antagonistic activity and is useful for the treatment of thyroid-related diseases. The present invention relates to an N-substituted cyclic amide compound represented by the formula or a pharmacologically acceptable salt thereof. The compound or the pharmacologically acceptable salt thereof according to the present invention has a thyroid-stimulating hormone receptor antagonistic activity and is useful as a therapeutic agent for thyroid-related diseases (e.g., hyperthyroidism, Graves' disease, thyroid eye disease, and thyroid cancer) and others.

An object of the present invention is to provide a novel compound which has thyroid-stimulating hormone receptor antagonist activity and is useful for treating thyroid-related diseases. The present invention relates to a 3,4-dihydroquinolin-2(1H)-one compound represented by the following Formula (I) or a pharmacologically acceptable salt thereof. The compound of the present invention or a pharmacologically acceptable salt thereof have antagonist activity against a thyroid-stimulating hormone receptor and is useful as a therapeutic agent for thyroid-related diseases (for example, hyperthyroidism, Graves' disease, thyroid eye disease and thyroid cancer).

The present invention discloses a capture probe combination for detecting thyroid cancer-related genes, including at least one of the sequences shown in SEQ ID NOs 1 to 101. A kit comprising the capture probe combination is disclosed to detect thyroid cancer-related genes using the kit. The present invention can detect 8 thyroid cancer-related genes RET, TERT, BRAF, TP53, NRAS, HRAS, KRAS, and PIK3CA at one time using a hybrid capture method. The capture probe and kit provided by the present invention have a wide coverage, a high sequencing depth, a starting amount of samples required for library construction as low as 20 ng, a short experimental process, and the advantages of high efficiency and high precision, and have great application potential and market value.

The invention discloses a thyroid cancer lung metastasis focus iodine taking state prediction method and system based on deep learning, is used for identifying the iodine taking state of a lung metastasis focus of a thyroid cancer patient in a medical scene, and relates to the field of image processing, medical treatment and deep learning, and the method comprises the following steps: 1) obtaining lung CT image data of the patient, converting the data into a three-dimensional file, and labeling the focus of part of the patient; 2) preprocessing lung CT image data, and dividing the lung CT image data into a segmentation data set and a classification data set; (3) constructing a depth image segmentation model; (4) constructing a depth image classification model; (5) using the segmentation model to obtain the position and size of a focus of an unlabeled patient; and (6) classifying the iodine intake state of the focus obtained in the step (5) by using a classification model to obtain a classification result. According to the method, the focus iodine intake state of the thyroid cancer lung metastasis patient is identified based on deep learning, so that unnecessary radioactive iodine treatment is prevented, an effective treatment scheme is formulated, and finally the personalized treatment scheme and patient prognosis are improved.

The present invention relates to compositions and methods for molecular profiling and diagnostics for genetic disorders and cancer, including but not limited to gene expression product markers associated with cancer or genetic disorders. In particular, the present invention provides algorithms and methods of classifying cancer, for example, thyroid cancer, methods of determining molecular profiles, and methods of analyzing results to provide a diagnosis.

Therapeutic compositions comprising chitosan-derived compositions are useful agents when administered in connection with methods for treating neoplasms, such as for instance, malignant lung, thyroid and kidney neoplasms, and other types of malignant neoplasms, and other medical disorders.

The invention discloses a magnetic resonance guided focusing microwave brain tumor thermal ablation system and a focusing adjustment method. According to the invention, three-dimensional data of MRI and CT are integrated, microwave frequency suitable for tumor size and depth is selected, and an appropriate antenna and cross polarized antenna phased array is designed. The output power and phase of the antenna are optimized by using a differential evolution algorithm, accurate focusing of microwave energy is realized, the tumor temperature is increased to an ablation level, and meanwhile, the safe temperature of healthy tissues is kept. The system effectively inhibits adverse effects of brain tissues including skull on microwave penetration, and realizes accurate ablation of tumors through combination of a small number of antennas and an iterative algorithm. MRI guidance and real-time temperature monitoring are combined, so that the accuracy and safety of thermal ablation are ensured, the brain tumor is radically treated in a non-invasive manner, and the problem that the medicine cannot penetrate through the blood brain barrier is solved. In addition, the technology can also be used for treating liver cancer, pancreatic cancer, thyroid cancer, breast cancer, kidney cancer, bone cancer, bladder cancer, gallbladder cancer and other diseases.

Disclosed are a novel polypeptide, a polypeptide derivative and the use thereof, which belong to the technical field of biomedicine. The present application specifically relates to a specific sequence, a discovery process, specific types of tumors to be resisted, a long-acting modification method and the use of the novel polypeptide, wherein the tumors include one or more of glioma, neuroblastoma, head and neck cancer, esophageal cancer, thyroid cancer, lung cancer, liver cancer, kidney cancer, breast cancer, cervical cancer, uterine cancer, ovarian cancer, colon cancer, small intestine cancer, ileocecal cancer, gastric cancer, bladder cancer, pancreatic cancer, prostate cancer, cholangiocarcinoma, melanoma, sarcoma, myeloma, lymphoma and leukemia; and the specific use comprises the inhibition of the proliferation and / or metastasis of the above-mentioned tumor cells. The novel polypeptide has a wide therapeutic spectrum and important therapeutic value against various tumors.

The invention relates to the field of disease risk prediction models, and discloses a thyroid cancer metastasis risk prediction model and a construction method and application thereof. The construction method of the model comprises the following steps: S1, collecting and preprocessing a sample; s2, gene expression quantity detection; s3, data set division and standardization processing; s4, constructing a deep learning model; s5, performing model evaluation; and the biomarker group for detecting the gene expression quantity in the S2 is composed of RPS4Y1, PKHD1L1, CRABP1, KRT18P8, AGPAT4, CPQ, SLC26A7 and RBP4. The prediction model can be used as a clinical auxiliary diagnosis tool and is used for guiding operation range selection, postoperative follow-up visit strategy making and early intervention of high-risk patients, and the precise diagnosis and treatment level of thyroid cancer is improved.

The invention relates to the technical field of tumor molecular imaging, nuclear medicine diagnosis and targeted therapy, and discloses a Trop2-targeted polypeptide, a Trop2-targeted molecular probe and application of the Trop2-targeted polypeptide and the Trop2-targeted molecular probe. The polypeptide can be coupled with different imaging elements to construct molecular probes or radiopharmaceuticals for tumor targeted imaging, so that noninvasive visual detection on the Trop2 expression level in tumor tissues is realized. The probe can specifically recognize Trop2 positive solid tumors, and a new technical means is provided for noninvasive diagnosis and dynamic monitoring of various Trop2 high-expression tumors such as pancreatic cancer, lung cancer, breast cancer and thyroid cancer. The probe disclosed by the invention has the advantages of simple preparation process, low cost, high specificity and stability, short imaging period, low radiation dosage, easiness in clinical transformation and the like, and has a wide application prospect in precise diagnosis and individualized treatment of tumors.

The invention relates to the technical field of intelligent rehabilitation monitoring, in particular to a real-time sticking and pricking effect monitoring system for thyroid cancer postoperative neck and shoulder function rehabilitation, which comprises a vector sequence generation module, a convergence section construction module, a direction difference calculation module, a stable section screening module and an effect monitoring module. According to the method, continuous image frames are collected, a grid observation node shadow direction vector sequence is extracted, the shadow flow trend caused by skin surface microscopic deformation is captured, and the relative deviation between the static texture main direction and the dynamic shadow vector angle is used for representing the real-time coupling degree of the sticking structure and the skin texture. Stable continuous time slices are screened through differential variation amplitude to eliminate invalid vibration interference, numerical variance is counted and calculated based on direction difference sequence dispersion degree, dynamic stability depth quantitative evaluation of a target area is achieved, and an accurate quantitative index reflecting muscle skin movement coordination is provided. The defect that the micromechanics interaction state is difficult to perceive through macroscopic contour monitoring is overcome.

The invention discloses a novel monitoring and intervention system for parathyroid gland function protection in a thyroid cancer operation, which comprises a nerve monitoring module, a measurement module, a light regulation and control module, an index monitoring module, a data regulation and control module, an intelligent feedback module and a postoperative monitoring module, comprising parathyroid gland specific fluorescent dye and a near-infrared light imaging system and is used for visualizing parathyroid glands in real time during an operation, and the measuring module is used for measuring the concentration value of calcium ions in a measured solution in real time and uploading the concentration value to the system to be stored and collected; blood circulation index data, lactic acid level data and peripheral perfusion parameters are collected through the index monitoring module, the accuracy and diversity of data collection in the operation process are improved, real-time field data collection is conducted on an operation site, and related blood circulation state data are collected through the measurement module and the light regulation and control module.

The invention discloses a thyroid cancer and lymph node accurate positioning system based on three-dimensional imaging, which relates to the technical field of medical image modeling, and comprises the following steps: acquiring two-dimensional images of a cross section and a coronal plane, preprocessing the acquired two-dimensional images, extracting image features of the preprocessed two-dimensional images, and constructing a three-dimensional model based on the image features. Evaluating and adjusting the constructed three-dimensional model, displaying the adjusted three-dimensional model by using a visual tool and providing an interaction tool, generating an electronic diagnosis report based on a three-dimensional model positioning result, storing the generated electronic diagnosis report to a hospital internal database, and performing encryption measures on the access authority of the hospital internal database. According to the thyroid gland and lymph gland positioning method, feature processing is performed based on the preprocessed image, the three-dimensional model is constructed based on the feature processing result, and the adjusted three-dimensional model is displayed by using the visual tool, so that the accuracy of thyroid gland and lymph gland positioning is improved, and the complexity of an operation and the risk of lymph gland omission are reduced.