46 results about "Infection detection" patented technology

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.

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 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 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 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.

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.

The invention relates to the technical field of medical instruments and in-vitro diagnosis, in particular to a visual transmission infection detection condom based on antigen-antibody reaction and application of the condom, and the condom comprises an elastic matrix layer, a microfluidic channel layer and a biological sensitive layer; the elastic base body layer is a latex base body layer, the thickness of the elastic base body layer is 0.05-0.08 mm, and the micro-fluidic channel layer is integrated on the inner side of the elastic base body layer. Physical protection (condom) and in-vitro diagnosis (STI detection) functions are integrated, the limitation that a traditional condom can only achieve passive protection is broken through, integration of protection, detection and early warning is achieved, and the safety of the condom is improved. According to the present invention, the comprehensive sexual health protection is provided for the user, the three-element detection system of antigen-antibody specific binding, quantum dot signal amplification and pH response hydrogel color development is adopted, compared with the existing fluorescence labeling detection technology, the detection sensitivity is improved by 1-2 orders of magnitude, and through the antibody space separation layout and the high-specificity monoclonal antibody, the detection sensitivity is improved by 1-2 orders of magnitude; the cross reaction rate is obviously reduced, and the detection accuracy is higher.

The application relates to the technical field of biological detection, and specifically discloses a one-tube detection system based on Cas protein modification and application thereof. An antigen epitope is inserted into the Cas protein, so that the cis cleavage activity of the Cas protein is weakened. Starting from the Cas protein, the Cas is modified through a protein engineering strategy, the competitive problem between RPA amplification and Cas protein cleavage is successfully overcome, and the one-tube detection system based on the above Cas protein modification has the characteristics of rapid response, high sensitivity, high reliability and simple operation, and has important practical significance for early infection detection, prevention and treatment.

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.

This invention belongs to the field of hospital fungal infection detection technology, and relates to a method and system for predicting the risk of fungal infection in hospital settings. The method includes: when a sub-area within a ward is identified as a warning area based on a comprehensive analysis of the patient's vital signs and the historical operating records of diagnostic equipment, the invention first obtains the patient's vital signs to assess their probability of fungal infection and generates a multi-level risk classification accordingly; the patient's risk group and sub-area information are input into the analysis model to determine whether the sub-area is a normal area or a warning area. By combining the risk assessment of the patient with the risk determination of the sub-area, the warning area is identified. Compared to existing technologies that only focus on the patient, this invention can locate sub-areas with concentrated infection risk, allowing prevention and control resources to be allocated to the warning area, thereby improving the targeting and efficiency of prevention and control.

The utility model discloses a fish antibody pathogen infection detection variable temperature color development instrument which comprises a variable temperature color development assembly which comprises a machine body and a detection groove; the auxiliary detection assembly comprises a vertical rod, a magnetic block, a fixed rod, a clamping groove, a sliding block, a clamping block, a connecting block and a detection box; the vertical rod is fixed to the center of the bottom end of the inner side of the detection groove, the magnetic blocks are located on the two sides of the top end of the machine body, the fixing rods are fixed to the upper portions of the two sides of the machine body, the clamping grooves are formed in the surfaces of the opposite ends of the fixing rods, the sliding blocks are connected into the clamping grooves, the clamping blocks are fixed to the outer side faces of the sliding blocks, the connecting blocks are clamped to the inner side faces of the clamping blocks, and the detection box is fixed between the tail ends of the connecting blocks. According to the utility model, the auxiliary detection assembly is arranged, so that impurities or bacteria in the external environment are prevented from entering the detection groove in the detection process, and the impurities or bacteria are prevented from influencing the detection result.

Embodiments may include an automated method for evaluating an infection status associated with a blood sample obtained from an individual. Methods may include determining, using a first module, a white blood cell concentration associated with the blood sample. In addition, methods may include determining, using a second module, a monocyte volume measure associated with the blood sample. Methods may include evaluating, using a data processing module, the infection status associated with the blood sample. The data processing module may include a processor and a computer readable medium. The computer readable medium may be programmed with a computer application. This computer application, when executed by the processor, may cause the processor to calculate a parameter using a function comprising the white blood cell concentration and the monocyte volume measure. The computer application may also cause the processor to evaluate the infection status associated with the blood sample based on the parameter.

Bacterial infection detection is often limited by the sensitivity of a traditional immunoassay, and is derived from signal load-recognition efficiency tradeoff caused by carrier diffusion limitation and steric hindrance. Therefore, an M13 bacteriophage mediated'biological lever 'system is constructed, recognition and signal amplification are separated in space, pIII protein displays a nano antibody to realize target specific capture, pVIII protein is covalently connected with a high-density DNA probe to serve as a signal interface, low-leakage catalytic hairpin assembly (CHA)-CRISPR / Cas13a cascade amplification (LUCAS) is triggered, and a single recognition event is converted into multi-stage signal enhancement. The design effectively improves transduction efficiency and inhibits background interference. Acinetobacter baumannii is taken as a model, and the system realizes the detection limit of 10 CFU / mL within 2 hours, is stable in labeled bronchoalveolar lavage fluid and has no cross reaction to common pathogens. The strategy provides powerful support for sensitive and rapid detection of pathogens.

The invention discloses a method for detecting latent infection of tubercle bacillus, and belongs to the field of tuberculosis detection. According to the method, detection of latent infection of tubercle bacillus is completed through the steps of sample collection, sample treatment, marker detection, data analysis, result judgment and the like. According to the invention, mycobacterium tuberculosis specific extracellular RNA (exoRNA) is selected as a novel biomarker. Compared with the traditional protein or DNA marker, the exoRNA has higher sensitivity and specificity, and can reflect the existence and activity state of the pathogen earlier and more accurately. The application of the marker effectively reduces the risk of cross reaction caused by bacillus calmette guerin vaccine inoculation or nontuberculous mycobacterium infection, thereby improving the reliability of the detection result. According to the invention, a high-throughput sequencing technology and an artificial intelligence algorithm are combined, and an intelligent diagnosis model is constructed. The method not only can realize qualitative judgment of LTBI, but also can finely distinguish infection states by analyzing the combination and expression profile of the exoRNA markers.

The present application relates to the technical field of molecular biology, and particularly relates to a biomarker for detecting Salmonella enteritidis infection and application thereof in preparing a Salmonella enteritidis infection detection kit. The present application provides a biomarker for detecting Salmonella enteritidis infection, and the biomarker is long-chain RNA Lnc_012227. The present application provides a new molecular marker, which can be used for diagnosing and monitoring Salmonella infection in duck ovaries, and the characteristics can be used as a reference for evaluating the resistance potential of offspring, and provide a new strategy and tool for preventing and controlling Salmonella infection in the egg duck industry, and help to improve the reproductive performance of egg ducks and the safety of duck eggs.

The invention provides an antibody combined with HPV66 L1 protein or an antigen binding fragment thereof and a pharmaceutical composition containing the antibody, and further provides a polynucleotide molecule for coding the antibody or the antigen binding fragment thereof, and an expression vector for expressing the antibody or the antigen binding fragment thereof. The antibody or the antigen binding fragment thereof can be widely applied to infection detection of the HPV66 virus in a clinical sample, can be prepared into vaginal gel, vaginal cleaning liquid, external washing liquid, vaginal suppository, freeze-dried powder, vaginal effervescent tablets and the like, is used for prevention and / or treatment of HPV66 infected patients, and can effectively improve the clinical negative conversion rate of the HPV66 patients. The invention has important significance on female reproductive health and public health prevention and control.

The invention discloses application of a reagent for detecting abundance of intestinal fungal group markers in preparation of a kit for in-vitro diagnosis of taenia asiaticus infection. ITS2 sequencing is carried out on fungal components in faeces of healthy and taenia asiatica infected patients, the abundance of fungi is obtained, and 19 specific fungi are found through optimization screening to serve as taenia asiatica infected intestinal fungus group markers for constructing a taenia asiatica infection risk prediction model. Experiments prove that the prediction model is high in prediction sensitivity and good in specificity, taenia asiaticus infected patients and healthy individuals can be effectively distinguished in multiple samples, and the accuracy is 97%. Therefore, the intestinal fungus group can be used as a taenia asiatica infection detection marker, and a reagent for detecting the abundance of the intestinal fungus group marker can be used for preparing a taenia asiatica infection in-vitro diagnosis kit, so that a foundation is laid for research on taenia asiatica infection diseases.

The invention relates to the technical field of microbiological detection, in particular to a candida mannan detection kit and a detection method. The candida mannan detection kit comprises a test strip, the test strip is provided with a release pad A, a release pad B and a nitrocellulose membrane; a candida mannan antibody A marked by carboxyl quantum dots is sprayed on the release pad A, and a candida mannan antibody B coupled with biotin is sprayed on the release pad B; a detection line and a quality control line are arranged on the nitrocellulose membrane; the detection line is coated with streptavidin, and the quality control line is coated with an anti-IgG antibody. According to the technical scheme, the technical problems that an existing candida mannan detection method is complex, consumed time is long, and application requirements of clinical blood candida infection detection and the like cannot be better met can be solved. According to the scheme, the candida mannan detection time is shortened to about 10 minutes, the detection efficiency is greatly improved, and the method is suitable for emergency treatment and clinical rapid diagnosis requirements.