443 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.

The invention discloses an RAA-CRISPR / Cas12a detection system of a circle virus avian origin type 1 and application of the RAA-CRISPR / Cas12a detection system, and relates to the technical field of microbiological detection. The detection system comprises an RAA amplification primer pair, crRNA, an FQ-ssDNA probe, an FB-ssDNA probe and an LbCas12a nuclease, and is characterized in that the detection system comprises an RAA amplification primer pair; the RAA amplification primer pair comprises an upstream primer of which the nucleotide sequence is shown as SEQ ID NO.5 and a downstream primer of which the nucleotide sequence is shown as SEQ ID NO.8; the nucleotide sequence of the crRNA is as shown in SEQ ID NO. 11. The RAA-CRISPR / Cas12a detection kit established by adopting the detection system developed by the invention has the advantages of high efficiency, high specificity and high sensitivity, can be used for on-site rapid detection of GyVg1, and provides a powerful diagnostic tool with a cost advantage for a basic-level working environment.

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.

Compositions, methods, and systems for analyzing the protein corona are described herein, as well as its application in the discovery of advanced diagnostic tools as well as therapeutic targets.

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.

The invention belongs to the field of network bottleneck diagnosis, and discloses a host internal network delay diagnosis method based on a loopback test, which is characterized in that an RDMA network simulation environment is established by using NS-3 (Network Simulation 3) network simulation software based on a RoCE-v2 protocol, and an RDMA host internal network diagnosis tool is realized in the network. According to the tool, network bandwidth and delay in a host are used as measurement indexes, and the indexes are measured by carrying out loopback testing between RDMA NIC and PCIe endpoint in the host. After the measurement data is collected, the internal network condition of the host can be analyzed according to the data, and the internal bottleneck of the host is diagnosed according to the internal network condition.

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.

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.

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.

The invention discloses a type 2 GAstV capsid protein monoclonal antibody and an antigen epitope peptide of the type 2 GAstV capsid protein monoclonal antibody. The monoclonal antibody is prepared by immunizing a mouse with capsid protein GAstV Cap of the type 2 goose astrovirus as an antigen, and is named as 1F1; the monoclonal antibody 1F1 comprises a heavy chain variable region and a light chain variable region, and the amino acid sequences of the heavy chain variable region and the light chain variable region are sequentially shown as SEQ ID No.3 and SEQ ID No.5. In order to determine the B cell antigen epitope of the screened monoclonal antibody, the invention also constructs a GAstV Cap truncated fusion protein, and the antigen recognition epitope is determined through indirect ELISA and Western blotting tests, so that screening is carried out step by step until the shortest linear epitope recognized by the monoclonal antibody is determined, and the amino acid sequence of the shortest linear epitope is shown as SEQ ID No.10. Therefore, the monoclonal antibody and the antigen epitope of the monoclonal antibody can be applied to research on structures and functions of GAstV capsid proteins and preparation of serological diagnostic tools and epitope vaccines.

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.

Securing communication requests from a vehicle communication interface to a vehicle. In an exemplary aspect, a vehicle communication interface (VCI) device that is configured to be connected to a vehicle communication port is configured to support secure communications with a vehicle electronic control unit (ECU), such as in a standalone mode. The VCI device is configured to receive a security feature(s) from a connected diagnostic tool to then have secure access to the vehicle ECU when the diagnostic tool is disconnected from the VCI device. In this manner, the VCI device is configured to mimic secure diagnostic behavior of the diagnostic tool and leverage the pre-existing diagnostic infrastructure to securely communicate with the vehicle ECU. This prevents or mitigates unauthorized VCI-like devices from being able to be connected to a vehicle's communication port and obtain vehicle data or provide vehicle programming in an unauthorized manner.

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.

A safety control method for preventing illegal modification of a motorcycle is characterized by comprising the following steps: 1, constructing a motorcycle modification prevention control management system; 2, binding of the whole vehicle is completed, and the diagnostic tool generates a key set and sends the key set to a corresponding key library; 3, before the motorcycle is powered on, the encryption module obtains motor equipment information of the motor controller and carries out encoding encryption; 4, the battery encryption module decrypts the encrypted data of the motor; 5, the battery encryption module carries out decoding and legality authentication on the decryption data of the motor controller; 6, the battery encryption module obtains the battery equipment information of the battery system and carries out coding encryption; 7, the encryption module decrypts the battery encryption data; 8, the encryption module carries out decoding and legality authentication on the battery decryption data; 9, the motor controller and the battery system are successfully matched, and the motorcycle is normally powered on to work. The method has the advantages that unauthorized equipment can be prevented from getting on the vehicle for use and a user can be prevented from illegally refitting the vehicle, and equipment safety of the user is protected.

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.

The invention discloses a fetal heart uterine contraction automatic interpretation system based on network characterization, which comprises a network model, and the network model comprises a CV module, an AT module, an SW module and a TC module which are connected in sequence; the CV module encodes low-level spatio-temporal information in the CTG signal through three convolutional layers; the AT module comprises a plurality of self-attention layers; the TC module uses a time convolution network to extract advanced time features in a time sequence, and inputs the advanced time features into a full connection layer with a Sigmoid classifier. According to the method, a multi-representation and multi-model integration thought is adopted, related features beneficial to CTG interpretation are fully extracted, the problem that a manual feature extraction algorithm is insufficient in capturing a long-time-span dependency relationship is solved, subsequent various analysis and research on CTG signals are facilitated, and the method is suitable for popularization and application. More accurate and reliable diagnosis information is provided for doctors and applied to the field of medical signal processing, and a more accurate and reliable auxiliary diagnosis tool is provided for clinicians.

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.

In part, the disclosure relates to determining a stent deployment location and other parameters using blood vessel data. Stent deployment can be planned such that the amount of blood flow restored from stenting relative to an unstented vessel increases one or more metrics. An end user can specify one or more stent lengths, including a range of stent lengths. In turn, diagnostic tools can generate candidate virtual stents having lengths within the specified range suitable for placement relative to a vessel representation. Blood vessel distance values such as blood vessel diameter, radius, area values, chord values, or other cross-sectional, etc. its length are used to identify stent landing zones. These tools can use or supplement angiography data and / or be co-registered therewith. Optical imaging, ultrasound, angiography or other imaging modalities are used to generate the blood vessel data.

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.