16results about How to "Non-invasive" patented technology

This invention discloses a downconversion fluorescence thermometry method based on bilinear mode, implemented using a hardware system. The hardware system includes a 280nm light-emitting diode, two convex lenses, and a Tb... 3+ :Cs2Na 0.9 Ag 0.1 The system comprises InCl6 temperature-sensing material, a grating spectrometer, an oscilloscope, a signal generator, a computer, and a thermostat. The specific implementation steps are: signal excitation and acquisition; temperature calibration; actual temperature measurement; and high measurement accuracy: VPR mode linear correlation coefficient R² ≥ 0.998, FL mode linear correlation coefficient R² ≥ 0.992, avoiding measurement errors introduced by the exponential bias or correction term of traditional FIR technology, thus fundamentally improving temperature measurement accuracy.

This invention discloses a portable low-temperature plasma device based on a Laval nozzle structure and its application, belonging to the field of plasma technology application technology. Specifically, it includes (1) the construction of the device; and (2) the use of the device for fungal eradication treatment and transdermal drug delivery enhancement treatment. The beneficial effects achieved by this invention are as follows: This invention is the first to apply the Laval nozzle structure to a portable low-temperature plasma device. The results show that the device can effectively improve the plasma jet performance and active particle content, significantly improve the treatment effect of fungal infections of the skin and nails and the transdermal drug penetration efficiency, while solving the problems of large size, reliance on external power supply, and complex operation of traditional plasma devices. Therefore, using this invention for the treatment of fungal infections of the skin and nails and for enhanced transdermal drug delivery has advantages such as ease of operation, high safety, non-invasiveness, and high efficiency, and thus has potential application prospects in the field of skin disease treatment and transdermal drug delivery.

The application discloses a kind of fusion modal and time sequence attention multi-modal physiological feature joint identification method and system, it is related to biomedical detection and artificial intelligence identification cross technical field, the method includes: control multispectral light source module emits stimulating light signal and probe light signal to the eye of measured object, real-time acquisition original image signal of the eye of measured object, calculate pupil shrinkage peak speed, local blood oxygen change rate and response time difference;Double parallel processing is carried out, and weighted physiological features and weighted time sequence features are respectively generated;Weighted physiological features and the weighted time sequence features are input into multi-modal weighted fusion layer, and after fusion, comprehensive feature vector is obtained, comprehensive feature vector is input into classification prediction layer, the confidence probability that measured object belongs to non-normal physiological response category is calculated, according to the comparison result of confidence probability and preset judging threshold, the identification result of non-normal physiological response category or normal physiological response category is output.

The application discloses a plasma metabolic marker composition and a screening method and application thereof, and relates to the technical field of biomedicine. The plasma metabolic marker composition comprises glycyl-L-glutamic acid, phosphatidylcholine 38:7, pyrrole-2-formic acid and phosphatidylethanolamine 36:2p. The metabolic marker composition is significantly different in different cancer types, can distinguish different cancer types of cancer patients, and realizes the detection of pan-cancer. The metabolic marker composition is non-invasive and minimally invasive when used for the detection of pan-cancer, is more suitable for the screening and detection of a large number of ordinary people, has high sensitivity and specificity, is more suitable for the early screening of cancer, and is helpful for the early screening, early diagnosis and early treatment of cancer, and is helpful for improving the survival rate and cure rate of cancer patients.

The invention provides a metabolic marker composition for distinguishing health from breast cancer. Based on metabonomics data of blood plasma, a blood plasma metabolism marker combination for breast cancer diagnosis is screened, and a breast cancer diagnosis model with relatively high sensitivity and specificity is constructed in combination with a machine learning algorithm. The method has high sensitivity and specificity, samples are convenient to obtain, non-invasive performance is achieved, accurate screening of the breast cancer can be achieved, important help is provided for prevention of the breast cancer and reduction of the morbidity, and the method is suitable for large-scale population screening and long-term tracking in areas with shortage of medical resources.

This invention discloses the application of a combination of glycan biomarkers in the preparation of products for predicting the prognosis of nasopharyngeal carcinoma (NPC) patients. The combination of glycan biomarkers includes one or more of the following N-glycans: NGA2F, NGA2FB, NG1A2F-1, NG1A2F-2, NA2, NA2F, NA2FB, NA3, NA3Fb, NA4, NA4Fb, and NA4F2b. Based on this combination of glycan biomarkers, this invention constructs a prognostic prediction model. By detecting the relative content of glycan biomarkers in serum samples and substituting them into the prediction equation to calculate the predicted value, the prognostic status of NPC patients can be determined by comparing it with a threshold. The glycan biomarker combination and prediction model provided by this invention can achieve accurate and non-invasive assessment of the prognosis of NPC patients after treatment, helping clinicians to adjust treatment plans in a timely manner, improving patient survival rates, and has significant clinical application and translational value.

The present application relates to the technical field of biological information, and discloses a neural system disease risk assessment method and device, an electronic device and a medical system, the method comprising: acquiring values of a plurality of biomarkers detected based on a target gingival crevicular fluid sample; inputting the values of the plurality of biomarkers as a plurality of input features into an artificial intelligence model to obtain a probability value of a neural system disease risk. The present application comprehensively analyzes a plurality of modal biological characteristics (i.e. values of a plurality of biomarkers such as neural related proteins, pathogenic bacteria load / toxicity, inflammation / barrier, etc.) in an in-vitro gingival crevicular fluid sample, realizes intelligent auxiliary assessment of a neural system disease related risk, and the assessment result can be used for early risk screening, early warning and hierarchical management of a neural system disease, and the cost is low and there is no invasiveness.

The invention discloses a data multi-language storage and query method and system, a medium and equipment, and relates to the technical field of data processing. The method comprises the following steps: pre-establishing a data view corresponding to multiple languages for a physical table in a database; configuring a target field needing to be translated in the physical table; in response to data change in the physical table, generating a translation record for a target field which is configured to be changed and needs to be translated, and storing the translation record into a translation target table; automatically translating untranslated records in the translation target table, and updating a translation result; and in response to a data query request, mapping a query for the physical table to a corresponding data view according to a target language in the query request, so as to return a translated result. According to the method, data translation is completed under the condition that codes are non-invasive, a business system does not need to make more operations when a data physical model is changed, the data can be completely and directly completed by a translation system, certain universality is achieved, and query convenience and user experience are improved.

The invention belongs to the technical field of medical examination, and particularly relates to application of detection reagents of eight metabolic markers in preparation of breast cancer diagnosis and prognosis products. The metabolic markers are heptanal, 2-pentanone, 2, 2-dimethyl-propionic acid, 2-decyl decahydronaphthalene, 3, 4, 5, 6, 7, 8-hexahydro-2 (1H)-naphthalenone, 2-[(2-cyano-3, 3-dimethyl cyclopropyl) methyl]-2-methyl-1, 3-dioxolame, methyl isopropyl disulfide and dimethyl silane glycol, and the PubChem CID is 8130, 7895, 6417, 586218, 572673, 560018, 123494 and 11137539 in sequence; research results show that compared with normal healthy people, the combined diagnosis index of the eight metabolic markers in the urine of the breast cancer patient is increased, the eight metabolic markers can be used as the urine marker for predicting the incidence of the breast cancer, the combined evaluation curative effect index of the eight metabolic markers is increased after treatment, and the breast cancer treatment effect can be evaluated. The result provides a specific, rapid and noninvasive detection means for early diagnosis, dynamic monitoring and prognosis of breast cancer, and has wide clinical application value.

The invention relates to a cross-platform non-intrusive front-end data request security encryption method, which belongs to the technical field of front-end security communication, and comprises the following steps of: detecting a terminal environment of a client by a security component to distinguish the terminal environment, judging whether the current terminal environment is a browser environment or a WeChat applet environment, and if yes, sending the current terminal environment to a server; detection adaptation of a terminal environment is realized; setting a request interceptor of a corresponding type according to the detected terminal environment and data request mode; and the security component calls the request interceptor, carries out underlying API interception proxy on the front-end data request and the server response data, and executes security encryption and decryption and anti-replay processing. According to the method, the development and test efficiency can be improved, the risk of influencing the normal business process is reduced, the front-end request security protection coverage range is increased, and the security blind area is reduced.

The present application belongs to the technical field of medical research methods, and particularly relates to a system and method for quantifying motor function impairment of a rat middle cerebral artery occlusion (MCAO) model. The system comprises a data acquisition module for acquiring motion images and plantar pressure data of an animal, a foot marking module for marking each foot of the animal in the motion images according to an artificial intelligence framework and attributing the plantar pressure data to each foot, and a plantar pressure data analysis module for analyzing motion data of the animal according to the plantar pressure data. The system and method provided by the present application can quantitatively analyze the MCAO model of a rat, and the degree of neural function impairment of the rat can be characterized by various motion data, so that the disease state can be accurately quantified, including whether the modeling is successful, the severity of the modeling and the progress of the disease. Therefore, the present application has a good application prospect in experimental research and drug development of cerebral apoplexy.

The invention relates to the technical field of data processing, and discloses a skeleton screen animation implementation method, device and system based on a user-defined view, and the method comprises the steps: when a page meets a skeleton screen display demand condition, executing a skeleton screen view component creation operation to obtain a target skeleton screen view component, performing superposition operation on the target skeleton screen view component and a list view component corresponding to the page to obtain a basic skeleton screen framework; executing static content drawing operation based on the page to obtain a first drawing result, and executing dynamic content drawing operation based on the first drawing result to obtain target skeleton screen content; and based on the basic skeleton screen architecture and the target skeleton screen content, executing skeleton screen display operation on the page. It can be seen that by implementing the method and the device, independence and non-invasiveness of skeleton screen animation application can be improved, diversity and flexibility of skeleton screen drawing modes are improved, accuracy and reliability of obtained target skeleton screen content are improved, and implementation of high-performance and smoothly-loaded skeleton screen application functions is facilitated.

The embodiment of the invention provides an adjustment method of a background service process, an optical ranging system and related equipment, and is used for solving the problem that the background service process cannot be dynamically debugged or controlled in a running process. The method comprises the steps that when an application program is started, a signal processing callback function is registered for a first user-defined signal and a second user-defined signal; receiving at least one first user-defined signal and at least one second user-defined signal sent by the outside, and counting the first signal frequency of the received first user-defined signal and the second signal frequency of the received second user-defined signal in a preset time window; generating a function request code according to the first signal frequency and the second signal frequency; and calling the signal processing callback function to execute corresponding backdoor operation according to the function request code and a predefined function mapping table.

This application discloses a database-based method, apparatus, and system for web service log analysis and error tracing, comprising: acquiring runtime exception logs containing thread ID, timestamp, and call stack, and interface access logs containing interface name, thread ID, interface entry timestamp, and response time; accurately matching the two types of log records based on the condition that the thread IDs are the same and the runtime exception timestamp is within the window formed by the interface entry timestamp and the interface entry timestamp plus the response time; associating the matched interface with the responsible developer based on a pre-defined interface-developer mapping relationship; and finally pushing the error details and developer information to the corresponding terminal. This application utilizes the thread ID + time window matching mechanism and responsibility mapping to automate the entire process from error discovery and responsibility determination to dispatch, solving the problems of difficult error location, unclear responsibility attribution, and low dispatch efficiency in large-scale development teams, and significantly shortening the problem resolution cycle.

The application provides a method for constructing a lung nodule benign and malignant differential diagnosis model based on single-cell immunomapping. The method uses peripheral blood samples to obtain PBMCs, and performs mass spectrometry flow analysis on the PBMCs to obtain a mass spectrometry flow analysis data set; a PARC clustering algorithm is used to divide cells into different phenotypes according to marker expression, and the expression proportion of each cell subgroup is used as a modeling feature to obtain a lung nodule benign and malignant differential diagnosis model, realizing the screening and early diagnosis of lung cancer. The technology has the characteristics of non-invasiveness, high sensitivity and high specificity, improves the diagnostic accuracy of lung cancer screening, and provides patients with earlier treatment opportunities and more suitable surgical methods.