353 results about "Diagnostic tools" patented technology

The invention relates to the technical field of data visualization, in particular to a multi-modal fusion anorectal data visualization analysis method and system, and the method comprises the following steps: synchronously collecting an anorectal image and a pressure signal, aligning a timestamp, carrying out the preprocessing, outputting a standardized image and a coded physiological signal, and extracting edge and texture features. After LSTM coding, splicing with image features, and fusing into a joint feature map; generating a multi-scale heat map by the feature pyramid network, and coarsely positioning a lesion; after boundary optimization, U-Net recovers details, and a pixel-level lesion probability graph is output; superposing the Jet color gradation to the original image in a semitransparent manner, and marking a pressure abnormal time period; and performing weighted scoring to generate a fourth-level clinical suggestion. According to the anorectal disease diagnosis method, through multi-modal space-time alignment, multi-scale feature fusion, boundary optimization and a quantitative scoring system, the problems of data splitting, insufficient precision and low efficiency of a traditional method are solved, a high-precision and high-robustness intelligent diagnosis tool is provided for anorectal diseases, and the scientificity and efficiency of clinical decision making are remarkably improved.

The invention provides a method and a system for measuring plasma current in a quasi-ring symmetrical star simulator, and relates to the technical field of star simulators, and the method comprises the steps: determining a sensor design index according to a bootstrap current simulation calculation result, and converting the design index into an actual arrangement scheme according to an installation environment constraint; all the magnet coils are independently excited in a plasma-free state, wall eddy current interference signals generated by the magnet coils are calibrated, and thus wall eddy current calibration voltage signals are output; a sensor in an actual arrangement scheme is used for synchronously collecting a total original induced voltage signal including plasma current and wall eddy current; an integral voltage signal representing the total current is output; and compensating the integral voltage signal by using the wall eddy current calibration voltage signal, and inverting the final measurement value of the plasma current in the quasi-ring symmetric star simulator. The device and the method have the beneficial effects that the interference of a stray field on a measurement result is weakened, and a high-precision diagnostic tool is provided for the plasma physical research of the star simulator.

This invention belongs to the field of biological detection technology, specifically relating to a monoclonal antibody combination for detecting feline NT-proBNP protein and its applications. The monoclonal antibody combination of the present invention comprises monoclonal antibodies 3A6 and 5H5. These two antibodies possess unique heavy and light chain variable region complementarity-determining regions, respectively, and their amino acid sequences have been fully defined (SEQ ID NOs. 1-12). This antibody combination can specifically recognize and efficiently bind to feline NT-proBNP protein, making it suitable for the development of a highly sensitive and specific diagnostic tool for feline cardiomyopathy. By constructing a double-antibody sandwich ELISA assay system, the minimum detection limit can reach 100 pg / mL, and it exhibits excellent specificity and stability.

A computer system performs tasks in an access restricted environment. Data is logged in diagnostic files about logical resources in use by the computer system as the computer system attempts to perform the tasks. Occasionally, a problem may prevent the computer system from correctly performing a task. A machine authenticates a user in the access-restricted environment and receives error metadata to initiate an automated process for generating a troubleshooting signature. The automated process involves selecting a metadata extraction policy based on a category of error and using the metadata extraction policy to extract metadata from a diagnostic file. The extracted metadata is analyzed to determine troubleshooting components including the problem, a source of the problem, and / or a version of software that encountered the problem. These troubleshooting components are combined in the troubleshooting signature, which is consumed in a diagnostic tool environment that is separate from the access-restricted environment.

The invention discloses a method for constructing a machine learning model based on cerebellar subregion multi-modal radiomics. According to the method, [18F] FDG PET metabolic features and 3DT1 W MRI structural features of a cerebellar subregion are extracted, a random forest classification model is constructed after feature selection, and high-precision identification of the Alzheimer's disease (AD) and a cognitive normal (CN) is realized in combination with SHAP analysis. According to the method, the multi-modal radiomics characteristics of the cerebellar subregion are integrated for the first time, the accuracy and interpretability of AD early diagnosis are improved, and a non-invasive and efficient diagnosis tool is provided for clinic.

The present invention relates to the field of disease prediction, and particularly to a cognitive impairment prediction system based on synchronously acquired electroencephalogram-electrogastrography signals, comprising: a data acquisition module for acquiring data, where the data includes electroencephalogram data and electrogastrogram data; a first analysis module for obtaining the average electrode inconsistency index of a first channel and a second channel based on a first model according to time series data; and a prediction module for comparing the average electrode inconsistency index of a subject with a preset evaluation threshold so as to predict patients with cognitive impairment. The system provided by the present invention can more accurately and efficiently distinguish patients with mild cognitive impairment from healthy people, and can be used as an auxiliary diagnostic tool for primary screening of mild cognitive impairment in a large population (such as communities, physical examination centers).

A development system for predictive diagnostics is provided. During operation, the system can perform a first diagnostic test on a distributed computing system based on a first restriction level indicating resource consumption of a first set of hardware units. The distributed computing system can include a plurality of computing devices with processing and memory resources. The system can generate a first log comprising a first set of parameter values indicating an output of the first diagnostic test at the first restriction level of the distributed computing system. The system can configure a first diagnostic tool with the first set of parameter values to emulate the first diagnostic test. The system can then apply the first diagnostic tool to obtain a second set of parameter values indicating an output of the first diagnostic test at a second restriction level, which can be higher than the first restriction level.

Methods and devices for analyzing non-volatile organics in exhaled breath and other aerosols using various diagnostic tools that enable rapid, low-cost point of care assays for several diseases including respiratory tract diseases such as COVID-19. The disclosed methods and systems selectively capture non-volatile organics in exhaled breath and other aerosols in a packed bed column. The non-volatile organics are eluted and samples are analysis using diagnostic devices including MALDI-TOFMS. The disclosed systems and methods provide for a diagnostic test result in less than about 20 minutes and provides for autonomous operation with minimal human intervention.

The invention relates to the technical field of attention deficit hyperactivity disorder detection, and discloses a device for detecting cognitive and developmental conditions of children with hyperactivity disorder, which comprises a handle, a head-mounted device, a bracelet, a hierarchical adaptive algorithm module, a multi-dimensional execution module and a data fusion and analysis module, a multi-mode sensing module is arranged in each of the handle, the head-mounted device and the bracelet; a motion capture unit, a high-sensitivity key array, a tactile feedback module and a wireless transmission module are integrated in the handle, and a wireless electroencephalogram acquisition module, a miniature near infrared spectrum module and an eye movement tracking module are integrated in the head-mounted device. According to the invention, through deep fusion of a multi-dimensional cognitive evaluation system and gamepad hardware, the device not only breaks through the limitation of the traditional neuropsychological test in methodology, but also realizes refined capture of ADHD heterogeneity characteristics in the technical level, and provides a hardware basis for establishing an objective and quantitative diagnostic tool with high ecological efficiency.

The invention relates to the technical field of agricultural intelligent prediction, and discloses a fertilization decision-making system fusing soil and rice growth vigor information data acquisition and analysis, which is characterized in that a microcontroller controls an irrigation valve to apply an irrigation pulse with a preset duration, and a soil humidity sensor is used to monitor a time interval when moisture falls back from a peak value to a baseline; according to the method, irrigation behaviors are reconstructed into an active diagnostic tool, traditional chemical index detection is replaced by physical process dynamic monitoring, lag adjustment is converted into a pre-prediction mode, meanwhile, acoustic verification and a differential correction mechanism are combined, and the crop transpiration rate is predicted. And an anti-environmental interference accurate decision-making system is constructed on the basis of low-cost hardware.

A fluid treatment system includes: a liquid confinement structure configured to confine an immersion liquid to a space between at least a portion of the liquid confinement structure and a surface of a substrate, the liquid confinement structure having an aperture forming a passage therein for passage of a radiation beam to irradiate the surface of the substrate by passing through the immersion liquid; and a diagnostic tool configured to detect an abnormal condition in the fluid treatment system, the diagnostic tool comprising an acoustic system configured to measure acoustic characteristics of the liquid confinement structure and / or the immersion liquid, where the acoustic system comprises a transducer configured to emit an acoustic detection signal to and / or receive acoustic waves from the immersion liquid.

In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

The application provides a CPU platform fault log recording method and device, comprising: receiving the running log data stream output by the CPU debugging serial port in real time; collecting the sampling value of the key power supply voltage and monitoring the hardware signal line to obtain the restart event signal and the shutdown event signal; packaging into a structured log recording unit; and writing the compressed log data block back to the flash memory; in response to the external reading instruction, reading the log data block from the specified log area of the flash memory and transmitting to the host end diagnostic tool; reorganizing and displaying in time sequence for fault analysis. The application can construct a log recording channel completely independent of the main CPU and operating system without increasing any additional hardware cost, ensuring that even in the most extreme system failure scenario, the complete context information at the fault moment can be reliably saved, thereby greatly improving the diagnosis efficiency and accuracy of the occasional fault.

The invention discloses a highly inert Gd-DOTA-based contrast agent with a hydrophobic side chain as well as a preparation method and application of the highly inert Gd-DOTA-based contrast agent, and two novel Gd-DOTA-based contrast agents Gd-L1 and Gd-L2 are successfully developed by respectively connecting hydrophobic 3-phenyl propylamine and 3, 3-diphenyl propylamine to Gd-DOTABA. The two novel Gd-DOTA-based contrast agents remarkably improve the chemical inertness of the complex, the dissociation half-life period of the complex in a 1 M HCl solution at 37 DEG C is about 5 times that of Gd-DOTA, and a powerful guarantee is provided for clinical safety; the MRI (Magnetic Resonance Imaging) performance of the liver in a mouse shows that Gd-L1 is equivalent to commercially available Gd-BOPTA and is suitable for imaging of a liver and gall system; after the Gd-L2 is combined with the human serum albumin, the longitudinal relaxation rate is obviously increased (r1 = 14.8 mM <-1 > s <-1 >, 1.4 T, 37 DEG C), the blood elimination half-life period in a rabbit model is about 18 minutes, and the Gd-L2 is suitable for vascular MRI (Magnetic Resonance Imaging). The two contrast agents avoid the spleen residual problem, the organ accumulation possibility is reduced, and a safer and more efficient MRI diagnostic tool is provided for clinic.

The invention relates to the field of disease prediction, in particular to a cognitive impairment prediction system based on synchronously acquired electroencephalogram-stomach electrical signals, comprising: a data acquisition module for acquiring data including electroencephalogram data and stomach and intestine electrical data; the first analysis module is used for obtaining an average electrode inconsistency index of the first channel and the second channel based on a first model according to the time sequence data; and the prediction module is used for comparing the average electrode inconsistency index of the subject with a preset evaluation threshold value so as to predict a cognitive impairment patient. The system provided by the invention can more accurately and efficiently distinguish patients with mild cognitive impairment from healthy people, and can be used as an auxiliary diagnosis tool to be applied to primary screening of mild cognitive impairment on relatively large people (such as communities and physical examination centers).

The invention belongs to the technical field of biological detection, and particularly relates to a monoclonal antibody combination for detecting cat NGAL protein and application of the monoclonal antibody combination. The monoclonal antibody combination provided by the invention comprises a monoclonal antibody 1E2 and a monoclonal antibody 2D6. The two antibodies respectively have unique heavy chain and light chain variable region complementarity determining regions, and the amino acid sequences of the two antibodies are defined in detail (SEQ ID NO.1-12). The antibody combination can specifically recognize and efficiently bind the cat NGAL protein, and is suitable for developing high-sensitivity and high-specificity diagnostic tools. By constructing a double-antibody sandwich ELISA detection system, the lowest detection limit can reach 1ng / mL, and good specificity and stability are shown.

The invention relates to the technical field of biology, in particular to a ROR1 antibody as well as a preparation method and application thereof. The ROR1 antibody provided by the invention can be highly specifically combined with an antigen, and has rapid and efficient internalization ability. Besides, the anti-ROR1 antibody provided by the invention has high selectivity and high biological activity, not only can be used as an anti-tumor drug or an antibody coupling drug, but also can be used as a diagnostic tool to detect ROR expression in ROR related diseases.

The invention relates to the technical field of compressor unit data safety management, in particular to a data safety management method and system for compressor unit operation state diagnosis, and the method comprises the following steps: collecting compressor unit sensor data in real time, and processing basic, sensitive and core three-level authority data at edge equipment; after receiving a cloud diagnosis request, dynamically opening a corresponding data channel and calling data; the cloud monitors the access behavior of the diagnostic tool and fuses unauthorized access in real time; and recording channel opening and tool operation logs, and associating real-time alarm events of the unit. Physical operation characteristics and safety logic are fused, edge preprocessing-cloud dynamic authorization-state linkage fusing-closed-loop optimization full-chain protection is achieved, fusing timeliness is guaranteed, sensitive data exposure is reduced through on-demand uploading, key characteristics are retained based on rotor dynamic characteristic desensitization, diagnosis accuracy is ensured, and the method has the advantages of being high in safety and high in reliability. And the high-priority diagnosis transmission delay is reduced through linkage of the bandwidth and the risk coefficient.

This disclosure provides methods and systems for providing a patient-specific wound care plan for a patient based on vascular assessment. The disclosed methods and systems integrate a vascular diagnostic tool with Electronic Health Record (EHR) systems, leveraging advanced automation and artificial intelligence (AI) to generate patient-specific treatment plans based on real-time vascular assessments. This integration addresses the need for seamless data transfer and enhanced clinical efficiency in wound care, particularly for patients requiring consistent vascular monitoring.

A diagnostic tool configured to locally implement two or more diagnostic tests related to an on-premises patch management product operating on a defective endpoint device. The diagnostic tool includes one or more non-transitory computer-readable storage media configured to perform a console diagnostic test, an endpoint diagnostic test, and an agent diagnostic test to validate a functionality and an application configuration relating to the defective endpoint device responsive to the launch of the diagnostic tool and without further action by a user of the defective endpoint device. The diagnostic tool is configured to identify diagnostic failures and diagnostic successes resulting from the diagnostic tests, to determine suggested solutions to the diagnostic failures, generate a display that depicts the results of the diagnostic tests, and cause removal of the diagnostic tool from the defective endpoint device after the display of the graphical user interface is caused.

The invention discloses an efficient recombination and safe energy storage control technology for waste new energy battery echelon utilization, and a waste battery pretreatment and performance evaluation battery health detection system. Advanced diagnostic tools such as internal resistance testing, capacity testing, cycle performance testing and an X-ray imaging technology are used for comprehensively checking the health state of a battery; especially battery internal structure and potential damage. And a standardized battery detection method is adopted to ensure that the detection result is accurate and can be copied. By optimizing a plurality of links of battery evaluation, restoration, recombination, management, safety control and the like, the utilization efficiency of the battery is improved, and the safety and the stability of the system are enhanced. Besides, the intelligent battery management system and the thermal management technology can ensure long-term safe operation of the battery pack, and the modularized and intelligent scheduling technology can improve the flexibility and economy of the energy storage system, so that the wide application of the waste battery echelon utilization technology is promoted.

In one embodiment, a method includes accessing a slide image associated with a tissue for a medical analysis, segmenting the slide image into a plurality of tiles, selecting one or more tiles from the plurality of tiles by one or more machine-learning models based on one or more criteria associated with the medical analysis, displaying the one or more selected tiles for user review via a user interface, receiving one or more user inputs associated with the one or more tiles via the user interface, and generating an analysis result for the medical analysis based on the one or more user inputs and the one or more tiles.

The application belongs to the technical field of biological detection, and particularly relates to a monoclonal antibody combination for detecting cat NGAL protein and application thereof. The monoclonal antibody combination of the application comprises monoclonal antibodies 1E2 and 2D6. The two antibodies have unique heavy chain and light chain variable region complementarity determining regions, and the amino acid sequences thereof have been defined in detail (SEQ ID NO. 1-12). The antibody combination can specifically recognize and efficiently bind to cat NGAL protein, and is suitable for developing a diagnostic tool with high sensitivity and high specificity. By constructing a double-antibody sandwich ELISA detection system, the minimum detection limit can reach 1 ng / mL, and good specificity and stability are shown.

The invention discloses a chemical industry park safety assessment method and system combined with a video diagnosis tool, and relates to the technical field of safety management, and the method comprises the steps: determining a plurality of video monitoring regions of a target chemical industry park and corresponding preset abnormal behavior sets; defining risk accompanying features and shielding features based on the abnormal behavior set, and constructing a primary video frame screening tool; performing preliminary screening on the video acquisition results by using a screening tool, and generating a screening frame set carrying a detection behavior identifier; judging whether the processing capacity of the screening frame set exceeds a preset concurrency threshold value or not; if yes, risk real-time analysis is executed according to the detection behavior identification, real-time and delay safety analysis is carried out according to the risk priority, and a regional safety analysis result is output. Therefore, the technical effects of improving the monitoring data processing efficiency and enhancing the security identification accuracy and responsiveness are achieved.

Disclosed herein is a method for diagnosing a medical condition in a patient. The method comprises: obtaining, from the patient, a plurality of physiological values; implementing a first model configured to determine risk values for at least one of a plurality of medical conditions, based on the physiological values. Implementing the first model comprises: obtaining a first risk value for the at least one medical condition, based on a first one of the obtained physiological values; and weighting the first risk value based on a second one of the obtained physiological values, to determine a total risk value of the at least one medical condition for the patient.

The invention discloses a signature verification method and device, equipment and a storage medium, and relates to the technical field of vehicle software upgrading. The method is executed by a vehicle ECU (Electronic Control Unit) and comprises the following steps of: splitting signature information, a public key index and a public key modulus under the condition of receiving a data packet sent by a vehicle diagnostic instrument; the data packet contains signature information; the split signature information and the split public key index are converted to a Montgomery domain; performing accumulation calculation on the split signature information in the Montgomery form and the split public key index in the Montgomery form through an accumulator to obtain an intermediate calculation item; through Montgomery reduction, based on the intermediate calculation item and the split public key modulus, obtaining a hash value for analyzing the data packet; and under the condition that the hash value of the data packet is consistent with the hash value for analyzing the data packet, judging that the signature information is successfully verified. According to the application, verification of the signature can be realized under the condition that the computing power of the vehicle ECU and the RAM space are limited.

Disclosed in the present invention is a physician-interpretable ultrasound-based breast cancer pathological subtype detection system, comprising: a segmentation module, which uses a U-Net network and incorporates a foreground optimization network to segment a breast and a nodule; a texture channel, which extracts a texture channel feature; an edge channel, which extracts boundary information; a position channel, which extracts position information, so as to quantize the overall relationship between the nodule and the boundary information of the breast to extract a breast nodule growth position feature; a shape channel, which calculates an edge aspect ratio on the basis of a segmented nodule region, so as to obtain a predicted interval value as a shape channel feature; an echo channel, which calculates the echo difference between the interior and exterior of the nodule to serve as an echo channel feature value; and a joint prediction module, which uses a multinomial logistic regression model to classify and predict breast cancer pathological subtypes on the basis of output features of the texture channel, the edge channel, the echo channel, the shape channel and the position channel. An artificial intelligence diagnosis tool that is interpretable to physicians is built, thereby providing an automated theoretical basis for clinical diagnosis and decision-making.

Systems and methods for automated sample preparation and processing of protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic agents.

A method and system for guiding selection of a diagnostic scan program for diagnosing an electronic system of a vehicle with a vehicle diagnostic computer tool and a scan evaluation program, where the diagnostic tool includes a display screen and is configured to be connected to a diagnostic port to be in communication with an electronic system of the vehicle and to operate in a mode to diagnose a vehicle. The diagnostic tool receives scan selection inputs and the diagnostic tool generates a recommendation to use either an aftermarket diagnostic scan program or an OE diagnostic scan program based on the scan selection inputs, where the recommendation is displayed on the screen of the diagnostic tool. The vehicle diagnostic computer tool is further configured to enable a user to accept the recommendation to use either the aftermarket or OE diagnostic scan program to diagnose the electronic system of the vehicle.

The utility model relates to the technical field of medical diagnostic tools, in particular to a medical stethoscope, a stethoscope head is provided with a stethoscope end face, the stethoscope end face is used for abutting against and being attached to the skin surface of a human body, a marking inner shell is in sliding fit with the outer side wall of the stethoscope head, and the bottom end of the marking inner shell is coated with medical dye. The marking inner shell is in sliding fit with the inner wall of the shielding outer shell, the multiple connecting pieces are connected between the shielding outer shell and the auscultation head, and the elastic piece is configured to drive the marking inner shell to have the trend of moving towards the position away from the auscultation head all the time, so that the bottom end of the marking inner shell does not exceed the auscultation end face. In the auscultation process, when auscultation marking is needed, a doctor presses the marking inner shell to overcome the elastic force of the elastic pieces, so that the bottom end of the marking inner shell coated with medical dye extends out of the auscultation end face and makes contact with the skin surface to complete marking, and the convenience of auscultation marking is effectively improved; and the accuracy and repeatability of auscultation diagnosis are further improved.