78 results about "Infection detection" patented technology

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.

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 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.

This invention discloses a diagnostic biomarker and its application in the diagnosis of COVID-19 and the detection of past coronavirus infections. The diagnostic biomarker includes the peptide COVID19-V004, the amino acid sequence of which is a sequence containing five or more consecutive amino acids from NRALTGIAVEQDKNTQEV; or the amino acid sequence of which is a sequence formed by substitution and / or deletion and / or addition of one or more amino acids from NRALTGIAVEQDKNTQEV. Based on the diagnostic biomarker of this invention, the level of anti-peptide IgG antibodies in human serum is detected indirectly. The detection kit developed based on this invention can serve as an auxiliary means for the diagnosis of COVID-19.

The present disclosure discloses a specific saccharide fragment for development of Vibrio cholerae vaccines, and belongs to the field of medicine. In the present disclosure, a saccharide fragment related to a trisaccharide of V. cholerae O100 serotype O-antigen is chemically synthesized. Combined with a glycan microarray technology, the structure-activity relationship between different saccharide fragments and antigenicity thereof is evaluated at a molecular level. Glycan microarray screening indicates that 3-hydroxybutyryl is an essential structural feature of the O-antigen. A non-reducing end disaccharide carrying 3-hydroxybutyryl is a potential minimal antigenic epitope, and the disaccharide has strong binding capacity to antibodies and a simple structure, and may serves as a specific saccharide fragment for vaccine development. A glycoconjugate vaccine designed based on the specific saccharide fragment may solve the challenges of difficulty in culturing pathogenic bacteria and heterogeneity of saccharide antigens in naturally extracted polysaccharide vaccines. The present disclosure has bright application prospects in the development of glycoconjugate V. cholerae vaccine, infection detection, and new drug development.

The utility model relates to the technical field of medical teaching molds, and particularly discloses a teaching mold for tubercle bacillus skin test teaching, which comprises a shell and a induration simulation assembly, the shell is at least provided with a flexible diaphragm capable of covering the induration simulation assembly on the simulation working face, the flexible diaphragm is provided with a transparent area and measuring scales, and the displayable area of the transparent area is larger than the maximum size simulation induration on the induration simulation assembly; the hardening simulation assembly is movably assembled on one side of the flexible diaphragm, and the hardening simulation assembly can relatively displace under the action of external force by taking the transparent area on the flexible diaphragm as a reference; the hardening simulation assembly is provided with a substrate and a plurality of simulation hardening parts, the simulation hardening parts are fixed to the simulation working face of the substrate at intervals, and the interval arrangement track of the simulation hardening parts on the substrate corresponds to the displacement direction. The practical operation teaching of the system does not depend on actual tuberculosis infection detection personnel, the teaching process is basically not limited, and the system is flexible and practical.

[0009] Disclosed herein are systems and methods for identifying pre-harvest latent infection in plants. In one aspect, the method can include operations of obtaining data describing expression levels of one or more biomarkers present in a plant, encoding the obtained data into a data structure for input to a machine learning model, providing, by one or more computers, the encoded data structure as input to a machine learning model trained to generate output data indicative of the likelihood that the plant has a latent infection based on processing the encoded data structure, obtaining the generated output data indicative of the likelihood that the plant has a latent infection, determining that the plant has a latent infection based on the generated output data, and performing one or more actions to mitigate the infection in the plant.

The present invention relates to a multiplex and simultaneous antigen detection kit (200) for the rapid diagnosis of Dengue, Chikungunya, and two forms of Malaria (Plasmodium vivax and Plasmodium falciparum) from whole blood samples. Utilizing vertical flow technology, the kit allows the detection of multiple antigens concurrently, offering faster results with enhanced sensitivity and specificity compared to traditional lateral flow assays. The diagnostic device employs metal nanoparticles and gold conjugates to detect the specific antigens, facilitating co-infection detection without the need for serum or plasma separation.

The application discloses a specific antibody combining with a virus RSV and MPV fusion protein of pneumoviridae and application thereof. The sequence of CDRs of the antibody is shown as SEQ ID NO. 1 to SEQ ID NO. 6. The antibody provided by the application contains the CDRs with specific sequences, can be specifically combined with the RSV and MPV fusion protein, and has strong neutralization reaction to RSV A / B subtypes and MPV A / B subtypes. The antibody provided by the application has strong targeting property and high binding 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 RSV and MPV infection detection methods and therapeutic drugs.

The invention belongs to the technical field of biological medicine, and particularly relates to a monoclonal antibody for detecting or blocking FomA protein with fusobacterium nucleatum as well as application and a product of the monoclonal antibody. The monoclonal antibodies obtained through screening or antigen binding fragments FAMD6 and FAME67 of the monoclonal antibodies can be specifically combined with different sites of Fn-FomA protein, an immunodetection or diagnosis kit constructed by the monoclonal antibodies or the antigen binding fragments FAMD6 and FAME67 is high in sensitivity and specificity and can rapidly and accurately detect Fn infection, the detection sensitivity can reach 3.9 ng / mL, the highest dilution of Fn culture supernatant is 1: 1600, the sensitivity is high, and the Fn infection can be rapidly and accurately detected. Good application prospects are realized. Besides, in a mouse model, the monoclonal antibody or the antigen binding fragments FAMD6 and FAME67 thereof have higher protectiveness on pregnant mice, and the bad pregnancy rate can be effectively improved.