56 results about "Treatment evaluation" patented technology

The invention provides a phototherapy parameter adaptive optimization method and system based on deep learning. The method comprises the following steps: constructing a phototherapy parameter optimization model comprising three sub-models, namely a feature extraction sub-model, a parameter effect evaluation sub-model and a parameter adaptive optimization sub-model; acquiring historical working data and treatment effect data of phototherapy equipment, and generating a parameter data set and an effect data set; respectively extracting a parameter feature vector and an effect feature vector by using the feature extraction sub-model; inputting the feature vector into a parameter effect evaluation sub-model, generating a parameter-effect incidence matrix, and quantifying an incidence relation between a parameter combination and a treatment effect; according to real-time environment data, based on the environment data and the incidence matrix, a phototherapy parameter configuration scheme is dynamically generated by the parameter adaptive optimization sub-model and is sent to the phototherapy equipment; and acquiring treatment evaluation data, and updating and optimizing the parameter adaptive optimization sub-model according to the treatment evaluation data. According to the invention, efficient, accurate and adaptive optimization of the phototherapy parameters is realized, and the controllability of the phototherapy effect and the treatment effect are significantly improved.

We provide a treatment planning, treatment evaluation, and treatment instruction creation support system that uses additional learning from case data for which diagnosis and treatment have been completed in a large-scale language model. [Solution] The system includes a case data recording means for recording case data containing case feature data and treatment content data for patients whose diagnosis has been confirmed and whose treatment has been completed, a case learning means for adding pairs of case feature data and treatment content data for each case to a large-scale language model (LLM) as supervised learning data, and a treatment content data suggestion means for suggesting treatment content data from the case feature data of patients for whom treatment is to be initiated.

The invention discloses an injury condition simulation system based on treatment feedback and a treatment evaluation method, and relates to the technical field of injury condition treatment simulation, and the system comprises a simulation definition module which generates initial vital sign parameters and natural evolution increment under a non-intervention condition according to an injury condition type defined in a treatment scene, the physical injury condition simulation dummy comprises a physical injury condition simulation dummy, a treatment detection module for analyzing and quantifying treatment actions of practicers and generating corresponding intervention signals, a central control module for calculating and outputting vital sign parameters and body surface performance parameters based on pathophysiology laws and an intervention mapping model, and a state feedback module for driving each execution unit of the physical injury condition simulation dummy. The system can analyze and score execution parameters of each treatment action of practicers, generate action quality indexes and intervention signals, provide quantifiable and comparable operation feedback for students, and map treatment action effects to dynamic update of injury states, so that vital signs and body surface manifestation change along with operation.

The invention provides an evaluation system based on a transcranial magnetic stimulation treatment effect of refractory depression, and belongs to the field of transcranial magnetic stimulation treatment evaluation. The problem that the objectivity and interpretability of an evaluation result are insufficient due to the fact that multi-modal data are not effectively integrated in the prior art is solved. The system comprises a neural navigation module which is used for determining an individualized transcranial magnetic stimulation target spot through a resting state functional magnetic resonance imaging technology and a remote isolation effect principle; the periodic treatment module is used for carrying out cranial magnetic stimulation frequency setting by adopting an alternate theta burst stimulation scheme; the data acquisition and processing module is used for acquiring multi-modal data before and after treatment and performing feature extraction; and the treatment evaluation module is used for establishing a multi-modal fusion curative effect prediction model through a support vector machine, and the model is used for evaluating the treatment effect and predicting the symptom relieving degree after being trained by a training data set. The method is mainly used in data evaluation field.

The invention discloses a diabetic foot ulcer monitoring and treatment evaluation device and method based on structured light imaging. The device comprises an image acquisition module, a mechanical arm module, a man-machine interaction module and an information processing module. The mechanical arm module comprises a multi-degree-of-freedom mechanical arm, the image acquisition module comprises at least one structured light image acquisition device, and the mechanical arm drives the image acquisition module to move, acquires three-dimensional point cloud images of feet from different angles and synchronously acquires space coordinates and deflection angles of the image acquisition module; and the information processing module is used for constructing a foot three-dimensional point cloud model by utilizing the three-dimensional point cloud image and the corresponding space coordinates and deflection angles, importing the foot three-dimensional point cloud model into the trained diabetic foot detection and treatment evaluation model for analysis, and displaying a prediction result through the man-machine interaction module. According to the method, the foot three-dimensional point cloud model is reconstructed, the reconstructed model is identified, the area, the volume and the position of the wound surface are evaluated, and then the treatment effect of the current mode can be evaluated.

The invention belongs to the technical field of biological genetic engineering, and particularly relates to a mouse model construction scheme capable of reproducing a key phenotype of hemophagocytic syndrome, which comprises the following steps: inserting a loxP-STOP-loxP-LMP1 conditional expression cassette into a Rosa26 safe port site in a fixed point manner to obtain an Lmp1cKI mouse strain; and hybridizing the mouse with an Ncr1-Cre transgenic mouse of NK cell specific expression Cre recombinase. In a double transgenic offspring (Lmp1Ncr1-Cre), STOP fragments are cut off by Cre enzyme, and continuous high expression of EB virus LMP1 protein in NK cells is driven. The model does not need chemical induction or immune intervention, and typical hemophagocytic syndrome phenotypes, namely serum IL-6, TNF-alpha and IFN-gamma, spontaneously appear within 7-9 days after young rats are born; the body weight is reduced and the survival rate is obviously reduced; the proportion of lymphocytes is sharply reduced; and NK cells are depleted. The invention provides a stable and reliable tool for hemophagocytic syndrome pathogenesis research, drug screening and treatment evaluation.

The invention relates to the technical field of data detection, and discloses a micro-plastic pollution abatement effectiveness detection method based on big data coupling. In the aspect of pollution traceability, the method adopts a mode of combining multi-dimensional feature acquisition and a feature evolution model; the problem of traceability failure caused by feature drift in a traditional method is solved, the traceability effective time is prolonged, and the traceability accuracy is improved. In the aspect of migration prediction, the multi-process coupling model and physical and chemical parameter dynamic association mechanism established by the method can accurately simulate complex interaction behaviors in the micro-plastic transportation process, and the prediction error of a migration path is reduced. In the aspect of governance evaluation, the governance process conversion behavior analysis method and the multi-dimensional evaluation system established by the method can accurately distinguish true removal, pollution transfer and form conversion, and the situation that a governance scheme with appearance reaching the standard but the actual risk not reduced is misjudged as an effective scheme is avoided.

The invention belongs to the technical field of biology, and particularly relates to ANK1 gene nonsense mutation and application. The invention firstly provides an ANK1 gene non-sense mutation c.2230 Cgt and an ANK1 gene non-sense mutation c.2230 Cgt. The invention relates to the field of genetic engineering, and in particular relates to nonsense mutation T (p.Q744X), the nonsense mutation significantly reduces the expression of ankyrin, and further causes phenotypic changes such as abnormal cell morphology and increased osmotic fragility after K562 erythroid differentiation, which indicates that the K562 is related to the pathological process of hereditary polycythemia spheroides (HS), and indicates that the mutation has pathogenicity; secondly, a treatment evaluation system taking drug-induced translation readthrough and adenine base editing as a core is constructed around the mutation, a new strategy and a technical platform are provided for precise molecular treatment of the ANK1 nonsense mutant HS, and important clinical transformation prospects and application values are achieved.

The invention discloses a multi-unit coupled VOCs treatment evaluation method and system, and solves the problems that VOCs treatment multi-unit combination scheme design and evaluation depend on an experience-driven method and a numerical simulation tool method and have many defects. The method comprises the following steps: constructing a database including VOCs emission scenes and VOCs types of each scene, randomly generating multiple different types of proportion simulation cases, scene air volumes and concentration gradient ranges in each scene, determining each VOCs treatment multi-unit combination and an effect evaluation function thereof, establishing a simulation emission working condition combination, and calculating the VOCs treatment effect of each multi-unit combination. And calculating effect values of all the multi-unit combinations of all the simulated emission working conditions, and selecting an optimal effect value to obtain a corresponding VOCs treatment scheme. And inputting a to-be-evaluated emission working condition, performing simulated emission working condition matching by the database, and obtaining a VOCs treatment scheme corresponding to the matched simulated emission working condition. According to the method, the design cost of small and medium-sized enterprises in the actual VOCs emission working condition is reduced, the process verification time is shortened, and the industrial VOCs treatment scheme standardization problem is effectively solved.

The application provides a preparation method and application of a bone and soft tissue sarcoma organoid. A bone and soft tissue sarcoma tissue sample is placed in a modified organoid culture medium and placed in a CO2 incubator for culture at 37 DEG C. Half of the medium is replaced every two days, and a bone and soft tissue sarcoma organoid can be obtained within two weeks. The method is simple to operate, significantly improves the survival rate and quantity of organoids, and shortens the culture time of organoids. Eight different subtypes of bone and soft tissue sarcoma organoids can be obtained by using the method. The bone and soft tissue sarcoma organoids obtained by the application can be passaged and stored at low temperature, retain all cell types of the original tumor tissue block, more truly simulate the tumor microenvironment, and provide more clinically consistent drug sensitivity test results. The bone and soft tissue sarcoma organoids obtained by the application can be used for personalized CAR-T treatment evaluation, drug sensitivity detection of chemotherapeutic drugs and targeted drugs, and preparation of personalized tumor vaccines.

A corneal elastic modulus measurement device and method based on magnetic nanoparticle excitation, including a soft magnetic nanoparticle contact lens, an electromagnetic excitation module, an OCT module, and a data processing module. The soft contact lens is wrapped with a sealing film and attached to the corneal surface, and generates a mechanical response under the controllable magnetic field generated by the electromagnetic coil; the OCT module synchronously captures dynamic deformation images before and after excitation, and its optical path is coaxially adapted with the annular electromagnetic structure to ensure synchronization of imaging and excitation. The data processing module extracts displacement information through multi-stage signal processing, combines the magnetic field force and the correction coefficient to compensate for the influence of corneal geometric parameters, and generates a high-resolution two-dimensional elastic modulus map. The system realizes real-time regional measurement of corneal mechanical properties with micron-level resolution, avoids the inadaptability of traditional technology with millimeter-level deformation, significantly improves the detection accuracy, safety and comfort, and is suitable for precise diagnosis and treatment evaluation of clinical corneal diseases.

The application discloses a kind of myasthenia gravis dynamic diagnosis and treatment path optimization method and system based on multimodal fusion, the method includes: the multimodal data of myasthenia gravis patient is collected, and its feature extraction and enhancement are carried out to obtain multimodal feature;Based on multimodal feature, construct three-dimensional dynamic feature matrix and carry out cross-modal fusion, obtain target fusion feature;Target fusion feature is used to train multi-task depth network model, and the diagnosis and treatment path optimization model is obtained;According to preset interval, data is dynamically collected and input model, and diagnosis and treatment evaluation result is output to realize diagnosis and treatment path dynamic optimization.Due to the application, through multimodal fusion and dynamic optimization mechanism, break the limitation of traditional static path diagnosis and treatment, effectively excavate patient multidimensional disease characteristics, improve diagnosis and treatment evaluation accuracy, realize diagnosis and treatment path dynamic optimization, effectively reduce unreasonable diagnosis and treatment behavior, reduce diagnosis and treatment cost, improve efficiency, provide intelligent support for clinic, improve diagnosis and treatment effect.

The invention belongs to the field of underground engineering, and particularly relates to a simulation test detection method for the whole insertion and extraction process of a steel sheet pile. The simulation device is manufactured, a soil layer of a certain depth unit is laid in a model box of the simulation device, the steel sheet pile inserting and driving condition at any stratum depth can be effectively simulated through stacking and loading, quantitative indexes before and after steel sheet pile inserting and driving are established, and the disturbance condition of inserting and driving on a soil body is effectively represented; and the recovery rate indexes and the comprehensive treatment evaluation indexes of the disturbed area and the undisturbed area are established, so that the comprehensive evaluation of the treatment effect is realized, an objective evaluation system based on core quantitative indexes such as soil compactness change, ground settlement (displacement), strength and the like is established, and the limitation brought by traditional single dependence on qualitative analysis is overcome.

The invention discloses a fluorescent / electrochemical dual-mode probe for detecting hydrogen peroxide (H2O2) as well as a preparation method and application of the fluorescent / electrochemical dual-mode probe, and belongs to the technical field of organic probe molecular analysis and detection. The probe takes resorufin (Re) as a fluorescence and electrochemical double-signal report unit and pentafluorobenzenesulfonyl (PS) as an H2O2 response unit, and is named as Re-PS. The preparation process comprises the following steps: under the conditions of nitrogen protection and ice bath, resorufin and pentafluorobenzene sulfonyl chloride react in an anhydrous dichloromethane solvent under the catalysis of triethylamine, and a target product is obtained through rotary evaporation concentration and silica gel column chromatography purification. The probe has both open-type fluorescence detection and ratio-type electrochemical detection functions, and is used for quantitative analysis of H2O2 in Alzheimer's disease (AD) model mouse brain microdialysate. Compared with the existing detection technology, the probe provided by the invention has high stability (37 DEG C, pH 7.4), and the hydrolysis rate lt in 15 min; the method has the advantages of high sensitivity (5%), high selectivity (no obvious response to other active oxygen and biomolecules) and accurate detection (dual-mode signal cross validation and recovery rate of 96.0%-103.0%), provides a reliable tool for accurate detection of H2O2 in biological samples, and has important application value in neurodegenerative disease mechanism research and related diagnosis and treatment evaluation.

An adaptive radiotherapy system (100) with biophysical real-time monitoring of the tissue response, wherein the system (100) comprises: a module (1) for real-time biophysical tissue response monitoring, configured to acquire live data on the physiological response and tissue response from a treatment area of ​​a patient during irradiation; a module (2) for localizing patient anatomy and motion detection, configured to detect position changes, organ movements and target shifts in real time; an engine (3) for adaptive treatment planning and dose recalculation, configured to dynamically update a radiotherapy treatment plan based on data received from the module (1) for real-time biophysical monitoring of tissue response and from the module (2) for localizing patient anatomy and motion detection; an engine for predictive modeling of tissue response (4) configured to estimate short-term tissue response, tumor response and normal tissue tolerance using patient data from current and previous sessions; an interface for controlling and modulating the beam (5) which is functionally coupled to a radiation delivery device and configured to modify one or more beam parameters in real time; a safety check and treatment lock control (6) configured to compare current treatment conditions with one or more allowable thresholds and selectively interrupt, stop, or release radiation delivery; and a module (7) for clinical review, data logging and treatment evaluation, configured to store treatment response data, generate session-related adjustment protocols and provide one or more recommendations for subsequent fractions, wherein the system (100) adaptively modifies the radiation output in response to continuously monitored biophysical tissue conditions of the patient.

The invention discloses an urban water environment treatment project treatment evaluation method, and relates to the technical field of water environment comprehensive treatment evaluation. According to the method, multi-source information such as a drainage system diagram, monitoring data, policy requirements and the like is integrated through a five-step closed-loop evaluation system of'checking, measuring, tracing, treating and reporting ', a'one-diagram two-table' evaluation diagnosis tool is constructed, and a treatment evaluation benchmark and a core problem are clarified; a root influencing an evaluation result is locked through three-in-one traceability, and block chain evidence storage is carried out; a'one-point-one-strategy 'optimization scheme is formulated based on the evaluation diagnosis result, and an energy-saving technology and a'on-effect payment' evaluation hooking mode are fused; and constructing a government-enterprise public collaborative communication system, and feeding back an evaluation result and an optimization progress. According to the method, the problems of fragmentation, single index, weak data support and closed loop deficiency of traditional treatment evaluation are solved, core indexes such as sewage centralized collection rate, operation cost optimization, river and lake water quality standard reaching and the like can be accurately evaluated, and the evaluation result provides a scientific basis for improvement of the treatment effect.

The invention discloses a corneal elastic modulus measuring device and method based on magnetic nanoparticle excitation. The corneal elastic modulus measuring device comprises a soft magnetic nanoparticle contact lens, an electromagnetic excitation module, an OCT module and a data processing module. The soft contact lens is attached to the cornea surface by wrapping magnetic nanoparticles with the sealing film, and generates mechanical response under a controllable magnetic field generated by the electromagnetic coil; the OCT module synchronously captures dynamic deformation images before and after excitation, and an optical path of the OCT module is coaxially matched with the annular electromagnetic structure to guarantee synchronization of imaging and excitation. And the data processing module extracts displacement information through multi-stage signal processing, compensates the influence of cornea geometric parameters in combination with a magnetic field acting force and a correction coefficient, and generates a high-resolution two-dimensional elastic modulus map. According to the system, real-time regionalization measurement of corneal mechanical characteristics is achieved with micron-level resolution, discomfort of millimeter-level deformation in the prior art is avoided, detection precision, safety and comfort are remarkably improved, and the system is suitable for precise diagnosis and treatment evaluation of clinical corneal diseases.

The invention provides an automatic analysis method for severity of cochlea lost hydrops. The method comprises the following steps: acquiring a microscopic image of a certain animal cochlea pathology; preprocessing the microscopic image; automatically segmenting the cochlea structure of the preprocessed microscopic image; automatically extracting a cochlear tube contour surrounded by a vestibular membrane and a basilar membrane in a cochlea structure of the microscopic image and a structure contour on the cochlea basilar membrane, and manually correcting the extracted contours; and automatically calculating the ratio of S1 to S and obtaining the analysis result of the severity degree of cochlea lost hydrops based on the artificially corrected area S1 corresponding to the contour of the cochlea tube surrounded by the vestibular membrane and the basilar membrane and the area S corresponding to the contour of the structure on the cochlea basilar membrane. According to the method, the vacancy of quantitative analysis tools for cochlear hydrops is filled, the method serves for otology basic research and vestibular disease research, and more efficient and objective technical support is provided for mechanism research and treatment evaluation of inner ear diseases such as Meniere disease and the like.

The present invention provides a method for providing an orthodontic status and orthodontic treatment evaluation information based on dental scan data of a patient, implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors. The method is characterized by comprising: an initial image acquisition step of, when first dental scan data, which is three-dimensional scan data acquired by photographing the patient's head, is received, acquiring a first dental image, which is an image of the patient's teeth arrangement, on the basis of the received first dental scan data; a correction image acquisition step of, when the acquisition of the first dental image is completed, confirming a teeth arrangement status based on the first dental image through a pre-stored algorithm, and acquiring treatment solution information for correcting the teeth arrangement based on the confirmed teeth arrangement state, wherein acquired is a second dental image, which is an image of predicted teeth arrangement upon completion of the correction based on the acquired treatment solution information; an orthodontic appliance design creation step of, when the acquisition of the second dental image is completed, creating a design of a transparent orthodontic appliance for correcting the patient's teeth arrangement into a teeth arrangement corresponding to the second dental image; an intermediate image acquisition step of, in the process of correcting the patient's teeth arrangement as the patient has on the transparent orthodontic appliance based on the created design, when second dental scan data, which is new three-dimensional scan data, is received, acquiring a third dental image, which is an image of the patient's teeth arrangement being corrected, on the basis of the received second dental scan data; and an orthodontic status information provision step of, when the acquisition of the third dental image is completed, acquiring teeth movement vector information of the patient through the first dental image, the second dental image, and the third dental image, and generating orthodontic status information for orthodontic treatment of the patient on the basis of the acquired teeth movement vector information and providing same to a medical personnel account.

The invention discloses a group of diagnosis, typing and prognostic markers for children Langerhans cell histocytosis, and belongs to the technical field of disease diagnosis. In the invention, an overall metabolic profile of bone marrow aspirates (BMA) of 34 children LCH patients is analyzed, and the patients are divided into three subtypes: single system diseases (SS), multi-system diseases (MS-RO-) without dangerous organ tiredness and multi-system diseases (MS-RO +) with dangerous organ tiredness. The metabonomics characteristics of children diagnosed as LCH are described, the metabolic characteristics of a multi-system LCH (MS-RO +) group with dangerous organs being tired before and after treatment are comprehensively researched, and important metabolic markers for molecular diagnosis, subtype classification, treatment evaluation and prognosis are provided for children patients suffering from LCH, especially high-risk LCH.

Disclosed are a method and a system for the assessment of the severity of a psychiatric disorder (PD) using measurements of computational and high-order functions in brain organoid neurons.

The application discloses a kind of intelligent health assessment and physiotherapy system and method for Chinese medicine physiotherapy shop.The method is by collecting the multi-modal health data such as tongue image, face image, body posture, gait, plantar pressure of user, according to national standard to build digital mapping of meridian and acupoint, realize individual acupoint positioning and path planning.The system contains intelligent massage head and moxa control temperature box, can real-time collect the parameters such as intensity, pose, temperature, distance of operation process, and combine with sleep monitoring data.Based on the above data, multi-modal fusion analysis is carried out, and the health assessment and physiotherapy scheme containing recommended acupoint, massage and moxa parameters is automatically generated, and safety control and record are carried out during physiotherapy process.Finally, closed-loop optimization of pre-treatment evaluation, treatment monitoring, post-treatment retest and sleep follow-up is formed, to solve the problems of subjective evaluation of Chinese medicine physiotherapy, unquantifiable process, safety dependent on experience and difficult to objectively evaluate the efficacy, and to improve the standardization and safety of physiotherapy service in the shop.

The application discloses a multifunctional treatment and evaluation device and method for varicose veins of lower limbs, which comprises a multifunctional treatment bandage, a treatment evaluation instrument and a host computer, the multifunctional treatment bandage is connected with the treatment evaluation device and is used for actively intervening and monitoring varicose vein positions, the treatment evaluation device is connected with the host computer and is used for signal transmission and processing, and the host computer is used for data analysis and processing and visual operation. The multifunctional treatment evaluation device has the advantages of simple operation, low cost, multiple built-in prescription modes, and the ability of detecting, treating and evaluating the conditions of patients with varicose veins of lower limbs, and has a wide application prospect in the field of treating varicose veins.

The present invention belongs to the technical field of medical diagnosis and treatment evaluation, specifically a movement disorder treatment effect evaluation system based on HD-sEMG and neuron analysis. The present invention induces pathological tremor symptoms in the hands of patients with movement disorders, collects HD-sEMG data of the forearm, and analyzes and evaluates the improvement effect of pathological tremor symptoms in patients with movement disorders before and after DBS treatment; the system includes: a data acquisition platform, which records surface electromyography data of forearm flexors and extensors; a data preprocessing module, which removes noise and baseline drift by filtering to improve signal quality; a motor unit decomposition and identification module, which decomposes and identifies the motor units of forearm flexors and extensors; a micro-neuron characteristic analysis module, which analyzes neuronal discharge characteristics and reflects changes in neural control; by comparing the changes in neuronal characteristics before and after deep brain stimulation treatment, the improvement of tremor symptoms is evaluated, and doctors are assisted in optimizing treatment plans, thereby improving treatment effects and improving patients' quality of life.

The invention provides a full-automatic mouse micro CT tumor treatment evaluation method based on a 3D time sequence. The method comprises the following steps: firstly, inputting an image of a mouse before administration and an image of the mouse after administration into a data input module together to obtain shape change query, tumor object memory and image features, and subsequently inputting the shape change query, the tumor object memory and the image features into a curative effect evaluation module; and finally, the tumor masks of the images before and after administration of the mouse and the object query stored with the tumor change information are input into a report generation module, so that a report containing the tumor treatment effect of the mouse and the recommended optimal dosage of the medicine to be used is obtained. According to the method, different models are established at the same time in different periods before and after treatment medication, the two features are fused, the optical flow model is used for learning tumor feature changes, and the detection and segmentation performance of the models is further improved.

This invention relates to a multi-task learning-based integrated nutritional decision-making method and system for examination, diagnosis, treatment, and evaluation, belonging to the interdisciplinary field of clinical medicine and artificial intelligence. This method aims to address the problems of isolated tasks, limited data utilization, and lack of quantitative recommendation and prognostic prediction capabilities in existing nutritional decision-making technologies. The technical solution involves constructing a serial multi-task learning neural network model, sequentially including a feature extraction module, a nutritional diagnosis module, a nutritional treatment recommendation module, and a prognostic and efficacy evaluation module. A joint loss function that dynamically balances the weights of each task and reuses prognostic labels is designed for training. This invention achieves integrated decision-making throughout the entire process of examination, diagnosis, treatment, and prognosis. It can integrate multimodal data to achieve accurate feature extraction, provide personalized quantitative nutritional recommendations, and prospectively predict efficacy to guide clinical intervention, significantly improving the efficiency and accuracy of nutritional decision-making.

To provide a method for evaluating a treatment, a treatment evaluation device, and a treatment evaluation program capable of automatically determining the effect of treatment.SOLUTION: The method for evaluating a treatment executed by an information processing device includes: a quantification step of quantifying the health condition of a patient as a clinical score; a previous score acquisition step of acquiring a previous score that is a previous clinical score of the patient; a determination step of determining the improvement state of symptoms of the patient on the basis of the difference between the clinical score and the previous score and a predetermined threshold; and an improvement rate calculation step of calculating the improvement rate of the symptoms of the patient from the clinical score and the previous score.SELECTED DRAWING: Figure 1

The present application belongs to the field of underground engineering, and particularly relates to a simulation test detection method for the whole process of steel sheet pile insertion and extraction. The simulation device is manufactured, and a soil layer of a certain depth unit is laid in a model box of the simulation device. The insertion of the steel sheet pile at an arbitrary stratum depth can be effectively simulated through the heaped load. Quantitative indexes before and after the insertion of the steel sheet pile are established, the disturbance of the insertion to the soil body is effectively represented, the recovery rate indexes of the disturbed area and the undisturbed area and the comprehensive treatment evaluation indexes are established, the comprehensive evaluation of the treatment effect is realized, the objective evaluation system based on the core quantitative indexes of the soil body density change, the surface settlement amount (displacement), the strength and the like is established, and the limitations brought by the traditional simple dependence on the qualitative analysis are overcome.

The invention discloses a digital PCR (Polymerase Chain Reaction) joint detection method for four virulence related genes (tcdA, tcdB, tcdC and cdtB) of clostridium difficile and a kit thereof. The detection system comprises a specific primer pair as shown in SEQ ID NO: 1-13 and a fluorescence labeling probe group. Through a digital PCR technology platform, multi-target and high-sensitivity absolute quantitative detection is realized, interference of inhibitors in a sample can be effectively overcome, detection is completed within 4 hours, accurate pathogen load information is provided for clinic, and rapid diagnosis and treatment evaluation are assisted.

The invention belongs to the technical field of medicine detection, and particularly relates to an organic electrochemical transistor sensor and method for diabetes diagnosis and treatment evaluation, the organic electrochemical transistor sensor comprises a substrate, an organic semiconductor channel layer, a gate electrode, a source electrode and a drain electrode, a nano material is deposited on the gate electrode, the nano material comprises nano iron oxide and graphene oxide, and the nano iron oxide is deposited on the source electrode. The mass ratio of the ferric oxide to the graphene oxide is 1: 1; according to the invention, the detection accuracy and sensitivity can be improved.