79 results about "Treatment evaluation" patented technology

[Problems] To provide a puncture treatment supporting apparatus enabling puncture treatment by previously performing puncture simulation and enabling its treatment evaluation.

[Means for Solving Problems] A puncture treatment supporting apparatus comprises an ultrasonic probe, ultrasonic image construction means for constructing an ultrasonic image, volume data storing means for storing volume data on a medical image diagnostic apparatus, probe position/direction detecting means for detecting the position and direction of the ultrasonic probe, tomographic image construction means for constructing tomographic image having the same cross section as the ultrasonic image by using the information on the position and direction of the ultrasonic probe, display means for displaying these images, and puncture means for inserting a puncture needle.

The apparatus, further comprises simulation image constructing means for constructing a simulation image by adding a puncture guideline indicating the puncture position and direction of the puncture needle to the tomographic image, and the display means displays the simulation image along with the ultrasonic image.

The invention discloses a graded diagnosis and treatment evaluating method based on data mining. The method comprises the steps: extracting essential information and diagnosis and treatment information on patients from medical records, associating the essential information and the diagnosis and treatment information with disease category information and medical institution information, and firstly, carrying out data cleaning and missing value filling so as to divide the patients into patients of different flow directions; then, calculating graded diagnosis and treatment monitoring indexes by using the data; portraying visiting behaviors and features of different patients by a GainRatioAttributeEva feature selection algorithm and a RIPPER sorting algorithm. According to the method, through evaluating graded diagnosis and treatment by qualitative indexes and quantified indexes, the defects in the current graded diagnosis and treatment evaluating methods that only the quantified indexes exist, the indexes are required to be reported layer upon layer, mis-reporting and confused reporting occur during reporting, and the tracking of reasons behind the indexes is absent are overcome; by using a data mining technology, graded diagnosis and treatment evaluation is more timely and accurate.

The invention relates to gene expression profiling technology to quantitatively measure the expression profiles of genes selected based on their role in inflammation and their susceptibility to regulation by current multiple sclerosis (MS) treatment agents, beta-interferon (IFN) and glatiramer acetate (GA). The invention also provides an assay for detection of beta-IFN neutralizing antibody based on the blocking effect of serum antibodies on the known regulatory properties of beta-IFN on PBMC and evaluation of treatment responses in MS patients.

The invention belongs to the technical field of medicines, and particularly relates to a spirit inhibition medicine recommendation method and system based on mental disorder subtype classification. The technology of artificial intelligence and machine learning is adopted, and data mining and analysis are carried out on data of a mental disorder diagnosis and treatment scale, and classifying the given mental disorder. The method specifically comprises the steps of evaluating double-cluster subtype classification of the data based on the mental disorder quantity table, establishing a post-treatment evaluation prediction model by using the machine learning algorithm and the scale data before treatment, analyzing and recommending the schizophrenia medicine, preliminarily judging each schizophrenia patient and disease, dividing the subtype according to the table grading data and the patient information, respectively executing an evaluation and prediction model for each candidate medicine according to the scale index component data and the basic information of the patient, and taking the medicines which allows entering into an optimal-effect subtype after treatment and/or medicines withthe maximum reduce total value of the scale as recommended medicines. The accurate and objective disease-assisted diagnosis and treatment can be realized, and the curative effect is improved.

The invention discloses a traditional Chinese medicine quantitative color discrimination diagnosis technology and a traditional Chinese medicine quantitative color discrimination diagnosis method on the basis of two-dimensional codes and topological codes. Color discrimination information can be quantitatively diagnosed by the aid of the traditional Chinese medicine quantitative color discrimination diagnosis technology and the traditional Chinese medicine quantitative color discrimination diagnosis method in traditional Chinese medicine diagnosis procedures. The traditional Chinese medicine quantitative color discrimination diagnosis technology and the traditional Chinese medicine quantitative color discrimination diagnosis method include that 1, colors are digitally and quantitatively discriminated by means of tongue observation diagnosis, face observation diagnosis and skin color observation diagnosis; 2, colors shown at interventional treatment locations are digitally and quantitatively discriminated; 3, color observation diagnosis is carried out, and the colors shown at the interventional locations are dynamically diagnosed and analyzed; 4, change of the shown colors is digitally acquired, and coding technologies and remote transmission technologies are implemented; 5, devices include a special image acquisition and analysis device, an automatic control system and an image real-time recognition and analysis system on an acquisition side and are applicable to quantifiable medical diagnosis and treatment evaluation systems. The traditional Chinese medicine quantitative color discrimination diagnosis technology and the traditional Chinese medicine quantitative color discrimination diagnosis method have the advantages that quantitative information can be coded to obtain the two-dimensional codes and the topological codes, the codes can be scanned on user sides, doctor sides and guardian sides by the aid of mobile phones, accordingly, remote multi-side data exchange functions can be implemented, corresponding matched intervention devices can be quantitatively fed, and observation diagnosis information can be wirelessly transmitted and remotely reconstructed.

The invention provides a mass spectrometry identification method of nucleophosmin variable spliceosome and a gastric cancer diagnostic reagent kit. The method is combined by a Glu-C enzyme cutting method and a Q-TOF (quadrupole time-of flight) mass spectra method, and can be applied to the clinical diagnosis and treatment evaluation of the gastric cancer; and by the method disclosed by the invention, the rapid and reliable identification result can be acquired as compared with the traditional methods.

Provided are novel devices, systems, and methods for performing microanalysis of a localized biochemical milieu, and/or for highly localized drug delivery and treatment evaluation.

The invention provides an in-vivo enrichment device for circulating tumor cells. The in-vivo enrichment device comprises a catheter body capable of puncturing to a central vein through a peripheral vein, a plurality of sieve holes are formed in the catheter wall of the catheter body, the catheter body is filled with trapped particles of targeting circulating tumor cells, and a blind end is arranged at the front end of the catheter body. According to the in-vivo enrichment device for the circulating tumor cells, the inside of the catheter body is filled with assembling hydrophilic medicine or trapped particles of a specific antibody, the sieve holes are formed in the pipe wall of the catheter body, CTC in blood is continuously combined on the trapped particles inside the catheter body through specific targeting accordingly, and efficient and high-quality trapping of the CTC in blood is achieved; the in-vivo enrichment device has the advantages that the enrichment device is used in vivo, efficient trapping is achieved, and clinical application is convenient; the in-vivo enrichment device can provide molecular-gene diagnosis information based on the CTC for early diagnosis, targeting therapy, recurrence and metastasis detection, treatment evaluation and the like of tumor, and has quite-broad application prospects.

The invention discloses a method for producing a paper-based microfluidic chip based on the controllability of an inkjet printing technology and used for quantitative detection of glucose. Since the inkjet printing technology has the characteristics of capacity of precisely controlling ink droplet volumes, high repeatability, flexibility in pattern design and the like, a paper-based microfluidic chip technology is easy to process and is minisized and portable, and glucose oxidase has the characteristic of capacity of specifically catalyzing the reaction of glucose, a GOx-HRP-TMB-H2O2 double-enzyme color development system is controllably integrated on a paper chip via an inkjet printer for a reaction through the combined usage of the inkjet printing technology, the paper-based microfluidicchip technology and the glucose oxidase. After color development, the inkjet printer is used for scanning imaging, and then grayscale analysis and data processing are performed by software such as Adobe Photoshop CS6 and Image J 2X; so a novel, fast, accurate and highly-sensitive method for quantitative detection of glucose is established and is applied to quantitative determination of glucose inthe human serum. The method of the invention has important practical significance to clinical medical diagnosis, treatment evaluation, prognosis judgment and the like of diabetes.

The invention relates to a laboratory flue gas treatment evaluation research platform, which includes a coal-fired boiler, a duster, a bag-type dust collector, an automatic on-line detection system for testing the bag-type dust collector dedusting efficiency, a heating diffusion container able to make dust uniformly distributed and perform heating, a cooler and a control system for controlling the duster. The research platform provided by the invention can research the dedusting efficiency of different particle size dust and mixtures, also can carry out high temperature evaluation experiment and low temperature range flue gas experiment, can evaluate the influence of different temperatures, particle sizes, flow rates, pressures and the like on bag-type dust collector filter bag (dedusting efficiency, service life and the like), and also can evaluate the influence of bag-type dust collector's filter bags made of different materials on dedusting efficiency.

The present invention provides a wind resource assessment method, device and system based on terrain classification, wherein the wind resource assessment method based on terrain classification includes: obtaining each The terrain data of the monitoring points; according to the terrain data of each monitoring point in each area to be detected, the terrain type of each area to be detected is obtained; according to the terrain type of each area to be detected and the wind condition of each area to be detected Data, to establish the corresponding relationship between the terrain type of each area to be detected and the wind condition data; according to the corresponding relationship, the wind resource assessment of the plot to be evaluated is carried out. The wind farm terrain classification processing method provided by the invention can improve the accuracy of wind resource assessment and wind farm site selection.

The invention discloses a method for monitoring thermal resistance of heat-exchange equipment and belongs to the field of fouling monitoring of circulating systems. The method comprises the following steps: acquiring a cold water inlet pipe temperature value of a heat exchanger, a cold water outlet pipe temperature value of the heat exchanger, a hot water inlet pipe temperature value of the heat exchanger and a hot water outlet pipe temperature value of the heat exchanger through a temperature sensor; and respectively arranging flow meters on a hot water loop and a cold water loop of the heat exchanger, acquiring hot water heat exchange flow and cold water heat exchange flow of the heat exchanger through the flow meters, and calculating to measure the thermal resistance value according to the measured temperature value and flow value. According to the method, the thermal resistance in the heat exchange equipment can be efficiently and accurately monitored, and an accurate electromagnetic pulse dirt treatment evaluation method can be established through cooperation of the conductivity and pH value of an aqueous solution.

The invention relates to a composite disease clinical path construction method and system based on transfer learning. The method comprises the following steps: acquiring multi-source heterogeneous medical data of a composite disease generated by a non-clinical path; structuring the data according to ICD classification to form a first data set; performing feature extraction and clustering on the first data set according to the sign information, the medical staging, the diagnosis information and the treatment evaluation to form a second data set; randomly extracting data sets of two disease types from the second data set, training a time domain convolutional neural network to learn one disease type data set, and adjusting the time domain convolutional neural network through MMD to be used for transfer learning of the other disease type data set; and finally, fusing according to an output result to obtain a composite disease clinical path. By simplifying the data set and integrating the data set with the time domain convolutional neural network and the generative adversarial neural network, the performance and interpretability of a composite disease clinical path structure are improved, and gradient explosion is avoided.

A scanning photographing apparatus for evaluation of training with a transparent root canal tooth model is disclosed, the transparent root canal tooth model mounted on the tooth fixture is driven to continuously and uniformly run by a driving motor, and then the image of the peripheral side of the transparent root canal tooth model is scanned by the linear array camera assembly, image data of thelateral surface of the root canal of the dental model can be obtained for one week, An image of the root canal pulp chamber roof at the top of the transparent root canal tooth model was captured by aplanar array camera assembly, The image data of the pulp chamber of the root canal can be obtained, so that the shape data of the root canal in the whole tooth model needed for root canal treatment evaluation can be obtained completely through the two image data, which greatly reduces the workload and computational time of the subsequent software image analysis. Therefore, the apparatus can be used for daily objective evaluation of root canal treatment results in oral teaching, and is convenient to use, compact in appearance and generally affordable in economy.

The invention provides a humanized mouse tumor model. The humanized mouse tumor model is characterized by being obtained by transplanting human thymus tissues and CD34+ hematopoietic stem cells homologous with the thymus tissues. The humanized mouse tumor model transplanted by thymus and hematopoietic stem cells is constructed for the first time. The humanized mouse tumor model is determined to have a complete immunosuppression microenvironment, is suitable for overall evaluation of solid tumor immunotherapy, and can be applied to evaluation of feasibility and effectiveness of immunotherapy curative effects. The humanized mouse tumor model makes up for singleness and model incompleteness of existing tumor immunotherapy evaluation methods, and provides reference value for clinical research.Compared with traditional models, the humanized mouse tumor model supplements key effects of a human immune system in immunotherapy.

A system and method for the safe delivery of treatment energy to a patient, which includes verification of system integrity before, during, or after the delivery of treatment energy and provides several mechanisms for rapid termination of the delivery of potentially harmful energy to the patient when a fault condition in the device and/or system is identified. The system may include an energy generator having processing circuitry to determine if there is a fault condition in the system and to automatically terminate a delivery of treatment energy when the processing circuitry determines thereis a fault condition. The method may generally include performing a series of pre-checks, synchronizing a treatment energy delivery to the proper segment of the heart's depolarization pattern, configuring the system for treatment energy delivery, delivering the treatment energy, and performing post-treatment evaluation.

The invention discloses a double-ratio type hemicyanine dye molecule as well as a synthesis method and application thereof. According to the double-ratio near-infrared fluorescence and photoacoustic diagnosis and treatment dye molecule provided by the invention, the nitroreductase level directly related to the tumor treatment effect is visualized, quantified and evaluated, and the tumor hypoxia level is noninvasively monitored in real time through ratio near-infrared fluorescence and photoacoustic imaging so as to carry out prognosis and treatment evaluation; and the dye molecule BS-Cy-NO2 has a good photo-thermal effect and can be used for photo-thermal therapy of tumors. The dye molecule is simple in synthesis step, convenient to purify and excellent in imaging, and has a wide application prospect as a molecular diagnosis and treatment agent for double-ratio near-infrared fluorescence and photoacoustic imaging. The molecular structural formula of the dye is shown in the specification.

The invention provides a preparation method for a hemi-parkinsonism monkey model. The method comprises the following steps of: applying 20 ml of MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine) of which the dosage is 0.45-0.9 mg/kg to a monkey at the uniform speed 3ml/min. The invention further provides application of an animal model to screening of a medicament for treating the hemi-parkinsonism. The invention further provides a method for screening a medicament for treating the hemi-parkinsonism. The hemi-parkinsonism monkey model established with the method has the advantages of remarkable and typical symptoms and high stability after modeling; and an experimental animal survives easily, and is easy to breed. The stable time of the model is relatively long, and multiple stages of medicament treatment evaluation can be performed. Moreover, the model can undergo own control in the entire disease process, the using quantity of the model is saved, the requirement of the animal experiment ethnics is met, and the model is more economical and reasonable.

The invention belongs to the field of medical images, relates to an image recognition technology, and is used for solving the problem of low recognition precision caused by the fact that an existing medical image recognition system recognizes medical images obtained through scanning of different parameters by adopting a unified standard, in particular to a medical image recognition system and recognition method based on artificial intelligence. Comprising an image acquisition module, an image detection module, a normalization processing module and a treatment evaluation module, the image acquisition module, the image detection module, the normalization processing module and the treatment evaluation module are connected in sequence; according to the invention, the image detection module detects the resolution of the collected medical image and obtains the display coefficient, and the scanning effect of the CT scanner is judged through the numerical value of the display coefficient, so that the image with the unqualified resolution is removed from a batch of sample images, the recognition process of the medical image with the unqualified resolution is saved, and the recognition efficiency of the medical image with the unqualified resolution is improved. And re-scanning the image with the unqualified resolution.