93 results about "Infection detection" patented technology

The invention discloses a virus infection positioning detection method and system based on diffractive optics. The method comprises the following steps: acquiring diffraction fingerprints corresponding to all to-be-detected cells in an imaging area by utilizing a diffraction imaging principle; respectively extracting texture features of each diffraction fingerprint in the imaging area by using a gray level co-occurrence matrix method; the extracted texture features are compared with standard texture features pre-stored in a relation model of cell morphological change and diffraction fingerprints, so that the'cell state 'of each cell to be detected in the imaging area can be obtained, and the virus infection state of each cell in the imaging area can be positioned and identified. The efficient light diffraction spectrum system is used for virus infection detection, and the requirement for professionals and expensive and complex professional field detection equipment is eliminated. The continuous and high-throughput evaluation on the cell condition after virus infection is met, and a foundation is laid for popularization and application of a virus infection instant detection platform.

The invention discloses a specific antibody capable of combining with a coronavirus SARS-CoV-2 and an SARS-CoV spike protein (SARS-CoV spike protein), and an application of the specific antibody capable of combining with the coronavirus SARS-CoV-2 and the SARS-CoV spike protein. The sequences of the CDRs of the antibody disclosed by the invention are as shown in SEQ ID NO. 1 to SEQ ID NO. 6. The antibody provided by the invention comprises CDRs with a specific sequence, can be specifically combined with SARS-CoV-2 and SARS-CoV spike protein, and has a relatively strong binding reaction with spike protein of another highly pathogenic coronavirus MERS-CoV at the same time. The antibody provided by the invention is strong in targeting property and high in binding activity, and the antibody prepared by the preparation method provided by the invention is high in purity and can be prepared on a large scale. On the whole, the antibody disclosed by the invention can be used for developing and optimizing an SARS-CoV and SARS-CoV-2 infection detection method.

The invention discloses a specific antibody MR-34 for targeting a coronavirus MERS-CoV spike protein RBD (Radial Basis Disease). The sequences of the CDRs of the antibody disclosed by the invention are as shown in SEQ ID NO. 1 to SEQ ID NO. 6. The antibody provided by the invention contains CDRs with a specific sequence, and can be specifically combined with an MERS-CoV spike protein RBD structural domain. The antibody provided by the invention is strong in targeting property and high in binding activity, and the antibody prepared by the preparation method provided by the invention is high in purity and can be prepared on a large scale. On the whole, the antibody disclosed by the invention can be used for developing and optimizing an MERS-CoV infection detection method.

The invention relates to the technical field of medical instruments, in particular to an intelligent wound nursing system which comprises a dressing body, and the dressing body comprises a skin-friendly layer, a functional layer and a protective layer. A monitoring module, a control module, a medicine leading-in module, a flexible circuit layer and an alarm module are integrated in the functional layer. According to the method, the infection misdiagnosis rate is reduced through multi-sensor fusion monitoring and a preset infection risk threshold algorithm; according to the design, the micro-fluidic chip and the biological probe are integrated in the percolate component sensor, so that the infection detection rate is increased; a temperature-sensitive hydrogel micro-valve array and nanofiber membrane slow release technology is adopted, so that medicine waste or poor treatment effect is reduced; through a multi-sensor data fusion algorithm, the detection accuracy is improved; the layout of the micro-valve array and the annularly distributed independent medicine storage cavities is adopted, so that the release error is reduced; through the ultrathin flexible framework, the snakelike wiring circuit and flip chip packaging, circuit breakage is avoided, and the clinical failure rate is reduced.

The invention belongs to the field of infectious disease community transmission multi-subject simulation, and relates to an infectious disease community transmission multi-subject simulation method and system containing asymptomatic infectors. The method comprises the following steps: establishing a virtual community group which comprises a plurality of communities and a plurality of destinations; distinguishing subjects in the virtual community group by using the health state and the space state, wherein the subjects comprise a susceptible subject S, an exposed subject E, an asymptomatic infection subject A, an infection subject I and a rehabilitation subject R; a motion sequence of all subjects in the virtual community group is established, the infectious disease transmission process is simulated according to the motion sequence, and the motion sequence comprises movement, infection and state updating, infection detection and isolation and community sealing control; and obtaining a simulation result, and evaluating the effectiveness of the infectious disease prevention and control policy. According to the method, rapid evaluation of different prevention and control strategies on infectious disease transmission conditions, social and economic influences caused by infectious diseases and the like can be realized, and beneficial reference is provided for a macroscopic regulation and control policy for restraining infectious diseases.

Described herein is a system that detects ransomware infection in filesystems. The system detects ransomware infection by using backup data of machines. The system detects ransomware infection in two stages. In the first stage, the system analyzes a filesystem's behavior. The filesystem's behavior can be obtained by loading the backup data and crawling the filesystem to create a filesystem metadata including information about file operations during a time interval. The filesystem determines a pattern of the file operations and compares the pattern to a normal patter to analyze the filesystem's behavior. If the filesystem's behavior is abnormal, the system proceeds to the second stage to analyze the content of the files to look for signs of encryption in the filesystem. The system combines the analysis of both stages to determine whether the filesystem is infected by ransomware.

The invention relates to the technical field of blood culture bottles, in particular to a composition and application thereof in preparation of a microbial culture medium. Yeast extract powder, soy peptone and casein tryptone are combined into a nitrogen source, and an aerobic and anaerobic culture medium for clinical pathogenic microorganism culture is formed. Through comparison verification, in growth experiments of nine aerobic bacteria and seven anaerobic bacteria, the culture speed and the biomass accumulation of the aerobic and anaerobic culture media added with the composition are integrally superior to those of other components excluded in the prior art and screening. Therefore, the composition can effectively promote the performance of a blood culture product, improve the clinical blood flow infection detection capability, inhibit antibiotic abuse and save the life of a patient.

A data processing method includes receiving an infection detection request sent by the detection device; obtaining, based on the infection detection request, a data feature obtained by performing feature extraction on target data; and outputting, to the detection device, the data feature for detecting whether the target data is infected by a virus.

The present invention is in the field of detection of infection. The invention relates to methods of determining the concentration of at least one type of microorganism and methods of preparing an output sample comprising a target concentration of one type of microorganism in a sample comprising, or suspected to comprise, at least one type of microorganism. Related devices for determining the concentration or preparing an output sample are also provided.

The invention belongs to the technical field of biology, and particularly relates to a multi-respiratory-tract pathogen mixed infection animal model and an establishment method and application thereof. The construction method provided by the invention comprises the following steps: firstly, infecting a female BALB / c mouse by using an influenza virus and mycoplasma pneumoniae virus mixture to construct a mycoplasma viral infection animal model, infecting for 20-28 hours, and finally successfully constructing a mixed infection mouse model. The state of the infected mouse is further observed, and the weight and death conditions, the clinical symptoms and tissue pathological changes of the infected animal model and the like are recorded. Therefore, the construction method provided by the invention is simple, and the constructed animal model is a safe, effective and economical tool and can be used for rapid preclinical evaluation of the screening process of medical products such as respiratory tract mixed infection detection kits, vaccines, medicines and the like under biosafety level 2 laboratory conditions.

A wellness management application enables automated diagnosis of a throat infection based on a throat image. A captured image is segmented into a plurality of image segments corresponding to different anatomical structures. A set of machine learning models are applied to the respective image segments to generate respective prediction scores indicative of likelihood of infection. Each of the set of machine learning models are independently trained based on labeled images of the corresponding anatomical structure. The results of the respective models may be aggregated to generate an aggregate prediction. Furthermore, various visual representations may be generated that illustrate respective contributions of different regions of the image to the prediction. The wellness management application may be integrated with a telehealth system to facilitate diagnosis and treatment of infections.

The utility model discloses a wheat smut infection detection device based on array type gas sensor, it includes box, the sample collection mechanism is installed to the box top, is provided with sensor mechanism, control mechanism, drive mechanism and power supply mechanism in the box interior, the sample collection mechanism includes sample heating stage and sample collection room, the sensor mechanism includes vacuum air pump, data acquisition card, data acquisition card seat, sensor gas chamber, activated carbon filter and gas flow control meter, and the control mechanism includes core processing unit, and its core processing unit is connected with data acquisition card seat through GPIO interface, and drive mechanism includes motor drive, and it is used for controlling the working condition of vacuum air pump, and power supply mechanism is used for supplying the electric energy of whole device, the utility model discloses does not need any chemical reagent or complicated physical processing, can complete the collection and analysis of volatile organic compound in a few minutes, greatly shortens the long time period required by traditional detection method.

The present application relates to the technical field of Raman spectrum detection, and in particular to a stomach H. pylori infection detection method based on Raman spectrum. The method performs Raman spectrum detection on a gastric juice sample to obtain a Raman spectrum curve; a healthy Raman spectrum curve of a healthy gastric juice sample is obtained and constructed into a healthy sample spectrum library; according to the Raman intensity difference and waveform distribution similarity of each healthy Raman spectrum curve in the healthy sample spectrum library with other healthy Raman spectrum curves in a specified wavelength range, a representative weight of each healthy Raman spectrum curve is obtained; according to the Raman intensity distribution similarity of the Raman spectrum curve of the current patient with each healthy Raman spectrum curve in the specified wavelength range and the representative weight of each healthy Raman spectrum curve, the infection degree of the current patient is obtained, and it is determined whether the current patient is infected with H. pylori. The present application effectively improves the preparedness and universality of H. pylori detection by obtaining the infection degree.

This utility model discloses a viral infection test strip placement box, including a placement box with an internal support frame. The support frame has a rectangular structure and an open top. The support frame is made of plastic, and multiple partitions are evenly distributed horizontally along the inner wall of the support frame. Viral infection test strip bags are inserted into the inner sides of the partitions. A medical waste disposal box is fixedly connected to one side of the placement box. An aluminum bag is placed inside the medical waste disposal box. The inner wall of the aluminum bag opening has a sealing groove and a sealing block, which are sealed together. This device ensures the stability of the viral infection test strip bags, prevents them from sliding, facilitates their removal and use, and allows for convenient collection and disposal of used viral infection test strip bags.

The invention discloses a tuberculosis infection T cell spot test method based on sample preservation time and MBS method PBMCs enrichment times, and belongs to the technical field of tuberculosis infection detection. The PBMCs are automatically enriched in a fresh whole blood sample (0-4 hours) by adopting an MBS method, a magnetic bead enrichment procedure is selected twice, a T-SPOT.TB test result is highly consistent with a result of a conventional DGC method and a magnetic bead enrichment procedure for four times, and the manual operation time is shorter; the MBS method is adopted to automatically enrich PBMCs for a long-time preserved whole blood sample (longer than 4 h), four magnetic bead enrichment procedures are selected, and the T-SPOT. TB test result is highly consistent with the result of a conventional DGC method and is remarkably superior to that of two times of MBS enrichment. Therefore, different magnetic bead enrichment procedures are adopted for fresh whole blood specimens with different preservation times, so that the detection efficiency can be effectively improved on the basis of ensuring the reliable result, the automation of T-SPOT. TB test can be realized, the manual operation time is shortened, and the detection efficiency is improved. And a more optimized pretreatment scheme and a reliable test result are provided for the T-SPOT.TB test blood sample which is stored for a long time.

The invention discloses a plasma near-infrared spectrum mode recognition method for detecting latent hepatitis B. The method comprises the following steps: S1, collecting spectral data of a plasma sample to be tested in a near-infrared band; s2, acquiring multi-repetition near infrared spectrum data of each sample, and constructing a spectrum data set; s3, grouping samples of a latent hepatitis B infection group and a normal control group in the spectral data set; s4, constructing an OBI-normal control spectrum discrimination model of the plasma sample based on a classifier primitive algorithm; s5, preprocessing parameters are optimized based on the discriminant performance of the classifier; s6, constructing an optimal wavelength combination; and S7, checking the optimal model. Compared with the prior art, the plasma near infrared spectrum mode recognition method for detecting the latent hepatitis B has the advantage that a solution can be provided for developing a small special blood analyzer for detecting latent hepatitis B infection.

The invention discloses an F1 monoclonal antibody and application thereof, the F1 monoclonal antibody is used for specifically binding a 6HB structural domain in a spike protein S2 subunit of SARS-CoV-2, the F1 monoclonal antibody comprises VHCDR1-3 of a heavy chain variable region and VLCDR1-3 of a light chain variable region, the amino acid sequences of the VHCDR1, the VHCDR2 and the VHCDR3 are respectively shown as SEQ ID NO.1, SEQ ID NO.3 and SEQ ID NO.5, and the amino acid sequences of the VLCDR1, the VLCDR2 and the VLCDR3 are respectively shown as SEQ ID NO.2, SEQ ID NO.4 and SEQ ID NO.6. The invention further discloses an application of the F1 monoclonal antibody. The F1 monoclonal antibody can neutralize SARS-CoV-2 virus infection, and has important application value in serological detection of new coronavirus, preparation of a reagent for new coronavirus infection detection and a reagent for new coronavirus antigen or antibody detection.

A method for determining whether a user is infected includes: receiving, from a wearable device, time series data representing a physiological variable measured by the wearable device; determining a first parametric function characterizing a distribution of a first portion of the time series data, at least one parameter of the first set of parameters characterizing a skew of the first parametric function; determining a second parametric function characterizing a distribution of a second portion of the time series data, at least one parameter of the second set of parameters characterizing a skew of the second parametric function, where the first portion of the time series data represents a baseline window and the second portion represents an observation window; and determining whether the user is currently infected according to at least one measure of a difference between the first set of parameters and the second set of parameters.

The invention discloses a biomarker for pregnancy infection detection and an application method of the biomarker, and belongs to the technical field of pregnancy infection detection.According to the biomarker and the application method, multi-dimensional evaluation of the maternal infection state is achieved by combining immune activation, neurodevelopment risk and placenta function markers. According to the comprehensive detection mode, potential threats can be recognized earlier, limitation of a single index is avoided, and more accurate early warning signals are provided for clinic. Meanwhile, based on a clear high-risk threshold definition, a doctor can quickly lock a high-risk pregnant woman group and start targeted intervention in time, so that early-stage protection on healthy development of a fetus is enhanced, comprehensiveness and reliability of infection risk detection during pregnancy are remarkably improved, immune abnormality of a maternal-fetal interface is directly adjusted by blocking an NKG2D signal channel in a targeted manner, and the risk of infection caused by infection during pregnancy is reduced. The occurrence risk of the neurodevelopment disorder of the offspring is remarkably reduced, the maternal and infant health guarantee level is practically improved, and the effectiveness and operability of intervention measures are further enhanced.

The invention relates to the technical field of molecular biology, in particular to a biomarker for detecting salmonella enteritidis infection and application of the biomarker in preparation of a salmonella enteritidis infection detection kit. The invention provides a biomarker for detecting salmonella enteritidis infection, and the biomarker is long-chain RNA (Ribonucleic Acid) Lnc012227. The invention provides a novel molecular marker which can be used for diagnosing and monitoring the infection condition of salmonella in duck ovaries, the characteristic can be used as a reference for evaluating the resistance potential of offspring, a novel strategy and a tool are provided for prevention and control of salmonella infection in the laying duck industry, and the application prospect is wide. The reproductive performance of the laying ducks and the safety of the duck eggs are favorably improved.

The invention relates to the field of biological detection, and discloses an immunofluorescence kit for rapidly and quantitatively detecting horse serum amyloid protein A and application of the immunofluorescence kit. The kit comprises a test strip, a card shell, a sample diluent and a calibration information card, the test strip comprises a bottom plate, a sample pad, a combination pad, a detection pad and a water absorption pad, the combination pad is provided with a rabbit anti-horse SAA monoclonal antibody marked by fluorescent microspheres and chicken IgG, and the detection pad is coated with the rabbit anti-horse SAA monoclonal antibody and a goat anti-chicken IgG antibody. The kit can rapidly and quantitatively detect the horse SAA, is good in specificity, high in sensitivity and wide in detection range, is an effective detection means, can be used for early infection detection of some diseases, and has important significance in prevention and control of horse epidemic diseases.

The invention discloses an intelligent video analysis system and method for monkey pox infected skin based on deep learning, and relates to the technical field of image processing, and the system comprises an input end which is used for obtaining to-be-detected video sequence data; the processing unit is used for inputting the video sequence data to be detected into an improved three-dimensional convolutional neural network for processing to obtain a video sequence analysis result; the output end is used for displaying the dynamic evolution process, the infection position and the infection range of the monkey pox infection area and generating clinical analysis suggestions. According to the invention, the accuracy and efficiency of monkey pox infection detection are remarkably improved, and the kit has a relatively high clinical application value.

The invention belongs to the field of biological detection, and particularly relates to a polypeptide and application thereof in preparation of a kit for detecting candida albicans. The amino acid sequence of the polypeptide is shown as SEQ ID NO: 1. A kit for detecting candida albicans comprises an enzyme-linked reaction plate coated with the polypeptide. Compared with the current clinical conventional fungal infection detection, the polypeptide and the Elisa Candida albicans detection kit developed based on the polypeptide provided by the invention not only can effectively improve the sensitivity of Candida albicans infection, but also have high Candida albicans specificity.

The invention provides a functionalized biological vesicle, which is characterized in that an extracellular vesicle membrane of inactivated bacteria is used as a carrier, and L-arginine, NADPH (Nicotinamide Adenine Dinucleotide Phosphate) and NO fluorescent probes are wrapped in the vesicle membrane to form a nano-scale vesicle. The invention also provides a preparation method and application of the functionalized biological vesicle. In addition, the invention also provides a pulmonary infection detection kit and a non-diagnostic / therapeutic pulmonary infection detection method. According to the invention, L-arginine, NADPH and the like are wrapped by an extracellular vesicle membrane of inactivated bacteria to form a functionalized biological vesicle, and the problem that the existing FeNO detection is insufficient in accuracy and specificity in lung infection diagnosis is solved through the vesicle, so that non-invasive, rapid and accurate lung infection diagnosis is realized; meanwhile, the problems that in an existing lung infection diagnosis method, sputum culture is prone to pollution, the positive rate is low, imaging examination early sensitivity is insufficient, radiation exists, and the cost is high are solved.

A surgical site infection (SSI) detection and evaluation system is disclosed that includes a denoising diffusion generative network (DDGN) configured to generate a plurality of surgical site images with a plurality of surgical site infection (SSI) classifications; and a surgeon digital twin neural network (SDTNN) trained using at least the plurality of surgical site images, patient data, and a source surgical site image database, the SDTNN being configured to determine a predicted clinician evaluation using at least the plurality of surgical site images, and a captured surgical site image with an SSI classification.

The application relates to a double fluorescent quantitative PCR primer and kit for genotype I and genotype II goose-derived reovirus. The primer comprises a first primer pair and a second primer pair, the sequence of an upstream primer I-F of the first primer pair is shown in SEQ ID No: 1, the sequence of a downstream primer I-R of the first primer pair is shown in SEQ ID No: 2, the sequence of an upstream primer II-F of the second primer pair is shown in SEQ ID No: 3, and the sequence of a downstream primer II-R of the second primer pair is shown in SEQ ID No: 4; the application designs the primer for genotype I GRV and genotype II GRV, constructs a double fluorescent quantitative detection kit for genotype I and genotype II GRV, the kit can detect very low concentration of virus nucleic acid, is suitable for early virus infection detection, and can quantitatively analyze the existing amount of target virus for comparing the virus number difference in different samples.

The application provides an infection detection method, device, equipment and medium, comprising: acquiring a to-be-detected cross-sectional image corresponding to a to-be-detected part, and inputting the to-be-detected cross-sectional image into a pre-trained infection detection model, wherein the infection detection model comprises a convolution network, a transformer encoder, a transformer decoder and a feedforward network; the first feature information of the to-be-detected cross-sectional image is acquired by using the convolution network and the transformer encoder; whether there is an actual infection area in the to-be-detected cross-sectional image is judged according to the first feature information by using the transformer decoder and the feedforward network; when the judgment result is that there is an actual infection area in the to-be-detected cross-sectional image, the first detection position of the actual infection area in the to-be-detected cross-sectional image is further output by using the feedforward network. By using the above technical scheme, high-accuracy infection judgment and infection position output can be obtained.

The invention relates to a nano antibody for detecting respiratory syncytial virus and application thereof. In particular to a nano antibody specifically combined with respiratory syncytial virus F glycoprotein, which comprises a CDR1 shown as SEQ ID NO: 3, a CDR2 shown as SEQ ID NO: 4 and a CDR3 shown as SEQ ID NO: 5. The nano antibody provided by the invention has the characteristics of strong specificity, high sensitivity and high stability, and has wide application prospects and important economic and social meanings in the research aspects of development of RSV infection detection reagents, targeted drug delivery, neutralizing antibody treatment and the like.

The application discloses a specific antibody MR-34 targeting a coronavirus MERS-CoV spike protein RBD. Sequences of CDRs of the antibody are shown in SEQ ID NO. 1 to SEQ ID NO. 6. The antibody provided by the application can specifically combine with the MERS-CoV spike protein RBD domain by containing the specific sequence of CDRs. The antibody provided by the application has high targeting property and high combining activity. The antibody prepared by the preparation method provided by the application has high purity and can be prepared in large quantities. Overall, the antibody of the application can be used for development and optimization of a MERS-CoV infection detection method.

An infection detection medical system may include an indwelling medical device and a dedicated computing device. The indwelling medical device may include an internal conduit configured to be inserted percutaneously into the patient's blood vessels and a microcontroller integrated into part of the indwelling medical device. The microcontroller may include a chemical sensor module and one or more chemical sensors configured to generate electrical signals in response to interaction with one or more volatile organic compounds (VOCs) associated with the patient. The microcontroller may also include a microcontroller processor configured to generate chemical sensor data from the electrical signals. In addition, the dedicated computing device may include a computing device processor configured to generate one or more observed chemical signatures from the chemical sensor data and to determine whether the patient has a microbial infection by comparing one or more observed chemical signatures for a microbial infection with known chemical signatures.