29 results about "Stool sample" patented technology

The invention provides an excrement sample microscopic image detection method and system based on morphological prior constraint, and the method comprises the steps: obtaining a global background region and a potential target candidate region through separation, so as to generate a standardized category morphological constraint parameter set; inputting the enhanced candidate region feature map into a preset category constraint double-branch instance segmentation network to generate an initial instance mask set corresponding to each independent visible component; performing closed-loop verification of mask integrity and category consistency on the initial instance mask set, performing iterative optimization correction on a mask region which is verified to be unqualified so as to generate an instance segmentation map, and synchronously performing spatial positioning and attribute marking on each independent mask region in the instance segmentation map; and based on an attribute marking result, performing multi-dimensional feature extraction and subdivision category identification on each independent mask region, and synchronously generating a corresponding excrement sample detection report. According to the invention, the precision, stability and complex scene adaptation capability of excrement microscopic detection can be greatly improved.

Systems and methods for objective evaluation of a stool sample to determine whether a patient's lower gastrointestinal tract is sufficiently clean to undergo a successful gastrointestinal visualization procedure with favorable visualization. A method includes collecting a stool sample from a patient and assessing the stool sample to determine whether an intestine of the patient is sufficiently clean for the patient to undergo a successful lower gastrointestinal tract visualization procedure.

A technique for calculating a risk of mild cognitive impairment for a subject who submitted a stool sample and a questionnaire, and a system for calculating a risk indicator for mild cognitive impairment is presented. The system includes an extraction unit configured to extract, from a first data related to intestinal microbiota data of a user, a second data related to a factor or intestinal microorganisms that is indicated to relate to the mild cognitive impairment; and a calculation unit configured to input the second data into a model for calculating a probability of the user having the mild cognitive impairment, the model having a third data as a variable, the third data being related to one or more intestinal microorganisms that represents a difference between intestinal microbiota of healthy participants and intestinal microbiota of patients with the mild cognitive impairment, and to calculate the risk of the user for the mild cognitive impairment, wherein the risk for the mild cognitive impairment is a probability of developing or having already developed the mild cognitive impairment.

A stool resuspension comprising a hemoglobin stabilizing reagent is provided.SOLUTION: In some embodiments, the hemoglobin stabilizing reagent may be an osmolyte, a multivalent cation, a sugar or polysaccharide, and optionally a multivalent cation, a protoporphyrin, or an HRP stabilizing component, and optionally a multivalent cation. Also provided are methods of stabilizing hemoglobin in a stool sample in a solution, and sample collection devices comprising the solution.SELECTED DRAWING: None

The present disclosure concerns a computer-implemented method for transforming stool sample data into a diagnostic code, the method including: a) providing a stool sample from a subject; b) determining, as the stool sample data, expression levels of at least two distinct genes from a plurality of mRNA segments in the stool sample; and c) determining, by a computing system executing a machine-learning model and based on the stool sample data, a diagnostic code, wherein the machine-learning model was trained using stool diagnostic training data including a plurality of stool sample data labeled with at least one of two or more corresponding diagnostic codes.

The present disclosure relates to methods and compositions for producing a sequencing library from mRNA in a stool sample. The present disclosure further provides methods of detecting the presence of a gene sequence expressed in a gut and methods of treating a patient based on the same. Aspects of the present disclosure further relate to a sequencing library produced by the methods of the present disclosure.

This utility model relates to a telescopic disposable fecal sampling tube, comprising a container body, a sampling tube, and a sealing cap. The sampling tube has a telescopic structure, which includes a first sleeve, a second sleeve, and a third sampling rod that are slidably inserted in sequence, forming a telescopic sampling tube structure with adjustable length. The top end of the first sleeve is fixedly connected to the sealing cap, and the front end of the third sampling rod is provided with a sampling head. The sealing cap is screwed to the upper opening of the container body. This utility model's sampling tube achieves automatic extension and retraction of the sampling head through a telescopic mechanism, eliminating the manual alignment step and reducing the probability of misoperation, thereby reducing the probability of contact with fecal samples. It is particularly suitable for collecting fecal samples from toilets. The sealing cap prevents sample contamination during transmission and avoids environmental pollution. The groove design of the sampling head increases the number of samples obtained per unit area, improving work efficiency.

The invention provides a personalized health intervention system based on a braingut axis theory, and the specific operation comprises the following steps: S1, household standardized sampling and low-temperature transportation: providing a standardized household sampling suite, enabling a user to collect a feces sample, carrying out compliance storage and transportation, and transporting the sample to a detection point position; s2, performing high-throughput sequencing analysis on the intestinal flora, namely receiving the excrement sample acquired by the household sampling module, performing sequencing analysis on the intestinal microbiome in the sample through a high-throughput sequencing technology, and outputting composition, abundance and function annotation data of the intestinal flora; and S3, user emotion and sleep phenotype data acquisition: acquiring emotion and sleep related phenotype data autonomously reported by the user. According to the invention, convenient collection and stable transportation of intestinal flora samples are realized through the standardized household sampling suite, a user does not need to go to a professional institution, the detection threshold is reduced, and the user participation degree is improved.

The application discloses an intestinal type scoring model for undifferentiated spondyloarthropathy and a construction method and application thereof, and belongs to the technical field of medicines.The 16s rRNA intestinal flora amplicon of 100 uSpA subjects is detected by using high-throughput second-generation sequencing.The intestinal type classification is explored, the intestinal type scoring is constructed, and the clinical characteristics of different intestinal types are researched.The research mainly includes the following four parts:(1) collecting the stool samples and peripheral blood of the uSpA subjects, and detecting the peripheral lymphocytes and cytokines by using flow cytometry (FCM) and CBA method;(2) performing intestinal flora 16s sequencing by using the lllumina high-throughput sequencing technology;(3) analyzing the 16s sequencing data by using the QIIME2 platform;(4) describing the variability of the microbiome data by using the Dirichlet multinomial mixture unsupervised clustering, classifying the intestinal flora of the uSpA, and mining the characteristics of the intestinal flora of the subjects.

The present invention relates to kits suitable for determining the ratio of succinate-producing bacteria to succinate-consuming bacteria in a stool sample from a subject, in particular the ratio of (Prevotellaceae + Veillonellaceae) / (Odoribacteriaceae + Clostridiaceae), or for determining the level of succinate in a sample of body fluids from a subject. The invention also relates to a method for determining whether a targeted intervention aimed at reducing circulating succinate levels in a subject has been effective. Finally, the invention relates to targeted interventions for use in the prevention and / or treatment of a disease associated with elevated circulating succinate levels in a patient.

The disclosure provides an evaluation of the virome in health and disease of the oral-gut-brain axis, in particular, periodontitis, irritable bowel disease (IBD) and Alzheimer's Disease (AD). For Alzheimer's disease, a striking feature was found via metagenomics of brain autopsy specimens - the presence of parvoviridae (comprised of erythoviruses and erythroparvoviruses) in the brains of individuals diagnosed with Alzheimer's Disease (AD) but not in brains from age-matched healthy individuals without a medical diagnosis of AD. For IBD, For Periodontitis and IBD, an analysis revealed the top 20 most abundant viral and bacterial species in saliva samples from individuals with periodontal disease or with a healthy periodontium and the top viral and bacterial species in stool samples from individuals with irritable bowel syndrome or with gastrointestinal health. Building upon these discoveries, a number of diagnostic methods and materials for AD and IBD are described herein.

The utility model belongs to the technical field of excrement sampling auxiliary devices, in particular to a toilet bowl device convenient for sampling excrement of a patient, which comprises a toilet bowl, a support component is placed at the rear end in the toilet bowl, the support component comprises a support ring, two connecting shafts, a support and a handle rod, and the left side and the right side of the support ring are fixedly connected with the two connecting shafts respectively. The upper portion of the end, different from the supporting ring, of the connecting shaft is fixedly connected with a support, and a handle rod is fixedly connected between the upper ends of the front support and the rear support. According to the toilet bowl, the supporting assembly is placed in the toilet bowl, the disposable excrement collecting box is placed in the supporting assembly to be used, excrement can fall into the disposable excrement collecting box during defecation, and the excrement cannot directly fall into the toilet bowl; urine and water in the closestool cannot be mixed into excrement in the defecation process, so that the accuracy of subsequent excrement detection is ensured, the operation is simple, the use is convenient, and the excrement of a patient can be conveniently sampled and used.

Devices, systems, kits, and methods for stool sample collection, in particular devices that reversibly attach to a toilet to facilitate collecting, preferably at-home collecting, of a stool specimen from a subject, and for holding the specimen during sampling.

The present application provides a kind of based on morphological priori constraint's fecal sample microscopic image detection method and system, separate and obtain global background area and potential target candidate area, to generate the standardized category morphological constraint parameter set;With enhanced candidate region feature map input preset category constraint double-branch instance segmentation network, to generate the initial instance mask set corresponding to each independent component;Mask integrity and category consistency closed loop check are carried out to initial instance mask set, and the mask area that does not pass the check is iteratively optimized and modified, to generate instance segmentation atlas, simultaneously to each independent mask area in instance segmentation atlas is spatially positioned and attribute marked;Based on the result of attribute marking, each independent mask area is carried out multi-dimensional feature extraction and fine classification identification, and the corresponding fecal sample detection report is generated simultaneously.The present application can greatly improve the precision, stability and complex scene adaptation capability of fecal microscopic detection.

Provided herein are techniques relating to compositions and methods for detecting tissue cell-specific DNA, such as epithelial cell-specific DNA, in blood or blood products from a subject. The techniques also relate to using tissue cell-specific DNA as an internal control for methylation assays. Provided herein are techniques relating to characterizing the presence or absence and / or amount of different kinds of nucleic acids in a sample, e.g., a blood sample, a stool sample, etc., that can be relevant to the health status of a subject. For example, in some embodiments, the techniques relate to detecting and measuring DNA associated with a particular tissue in a sample type that does not normally contain DNA from that tissue. In preferred embodiments, the techniques relate to detecting and / or measuring epithelial cells and / or epithelial cell-specific DNA in a blood or blood product sample.

Systems and methods for objective evaluation of a stool sample to determine whether a patient's lower gastrointestinal tract is sufficiently clean to undergo a successful gastrointestinal visualization procedure with favorable visualization. A method includes collecting a stool sample from a patient and assessing the stool sample to determine whether an intestine of the patient is sufficiently clean for the patient to undergo a successful lower gastrointestinal tract visualization procedure.

The application discloses a full-automatic stool sample detection device, which comprises a bottom plate, a first guide device, a second guide device, a sampling device, a support, a third guide device and a detection mechanism, a sampling hole is formed in the middle of the top surface of the bottom plate, the first guide device is installed on the top surface of the bottom plate, the second guide device can move along the length direction of the first guide device, the sampling device can move along the length direction of the second guide device, the support is installed on one side of the first guide device, a containing groove for containing a sampling stick is arranged on the end of the support close to the sampling device, the reagent box seat can move along the length direction of the third guide device, and the detection mechanism is installed on the side surface of the support away from the sampling device. The application can be installed at the water tank position of a toilet bowl, can replace manual sampling and detection of stool samples, and can also be used as an independent mechanism.

The closed intestinal flora sampling device comprises a storage cylinder, a material taking clamp and a driving mechanism, the storage cylinder comprises a first cylinder body and a second cylinder body, the bottom end of the first cylinder body is closed, the outside of the first cylinder body is open, the second cylinder body detachably covers the top of the first cylinder body, and the bottom end of the second cylinder body is closed; the number of the material taking clamps is two, the two material taking clamps are oppositely arranged in the storage cylinder and located outside the first cylinder body, when the two material taking clamps are folded, a material storage cavity is formed between the two material taking clamps, and the material storage cavity is used for storing an excrement sample; the driving mechanism is connected with the two material taking clamps and used for driving the two material taking clamps to be separated or folded. The closed intestinal flora sampling device can be fast, sanitary and convenient to operate, and is suitable for sampling excrement samples with different characters.

1. Name of the product in this design: Stool sampling tube for patients with diarrhea. 2. Purpose of this design: As a sampling tube for collecting stool samples from patients with diarrhea. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

Provided is a fecal gas analysis method for Bristol stool type classification, and more particularly, to a fecal gas time curve analysis method capable of classifying Bristol stool types based on a rate of gas concentration decrease for each stool sample. The fecal gas time curve analysis method for Bristol stool type classification enables classification of Bristol stool types regardless of gender, age, diet, or stool weight, and also allows identification of an individual's dietary habits. Therefore, the analysis method can be applied to personal health monitoring based on Bristol stool type classification.

Methods of diagnosing Crohn's disease and ulcerative colitis in subjects is provided based on the determination of metabolites in urine samples, such as serine, hypoxanthine, kynurenine, threonine, dimethylglycine, tryptophan, indoxylsulfate, phenylacetylglutamine, sialic acid, 5-hydroxy-6-indolyl-o-sulfate, 5-(Δ-carboxybutyl) homocysteine, and / or an anion having m / z:RMT:polarity of 345.1553:0.770:n, or determination of metabolites in stool samples, such as ketodeoxycholic acid, cholic acid, choline, tryptophan, trimethyllysine, serine, butyric acid, lactic acid, hypoxanthine and / or guanine.

Described herein is a method of diagnosing a H. pylori infection in a subject. The method comprises: determining a fatty acid profile in a stool sample of the subject; and comparing the fatty acid profile with a reference profile indicating H. pylori infection or a second reference profile indicating H. pylori infection. The subject is diagnosed to have H. pylori infection when a level of at least one fatty acid in the fatty acid profile is different than a level of the at least one fatty acid in the first reference profile; or a level of at least one fatty acid in the fatty acid profile matches a level of the at least one fatty acid in the second reference profile. Also described is a method of treating H. pylori infection based on the diagnostic method.

1. The name of the design product: pet blood urine stool formed component analysis equipment. 2. The use of the design product: for the field of inspection technology, for microscopic imaging and analysis of formed components in pet blood urine stool samples. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The present disclosure provides methods and compositions, e.g., kits, for isolating eukaryotic nucleic acid from a stool sample. In one embodiment, the method provided herein involves incubating the stool sample with a chaotropic salt, heating the stool sample, and using a substrate coupled to a locked nucleic acid (LNA) oligonucleotide to isolate the nucleic acids hybridized to the LNA oligonucleotide.

The present invention relates to a method of predicting the responsiveness to Immune Checkpoint Inhibitor (ICI)-based treatments in cancer subjects at baseline based on the relative abundances of at least 2 of 8 microbial taxa in a stool sample from the patient. The method produces a binary classification of patients as responders and non-responders to ICI-based treatments. More particularly, the stratification method relates to stratifying hepatocellular carcinoma patients into 2 classes. The invention also relates to ICI-based treatments that can be administered to responders. While the identified biomarkers partially overlap the previously reported ones, the novelty of this invention is based on a) a combination of mixed-level taxonomy (combining genus- and family-level taxonomic information) and b) development of an original machine learning pipeline to leverage this type of input. Also provided is a method of normalisation and look-up table for carrying out the invention on arbitrary datasets, shown to exactly reproduce results from a deep learning model. As a result, while the markers are partially known, their context of use such as combination with markers of different nature and in-house machine learning architecture resulted in the predictive performance that was never seen before for this task and data type.

The utility model discloses an excrement collection container for laboratory medicine, and relates to the technical field of medical sample collection devices. The bottle comprises a bottle body with a bottle opening, and the bottle opening is connected with a bottle cap in a matched mode. A sampling piece is fixed on the bottle cap; when the bottle cap covers the bottle opening in a matched manner, the sampling piece extends into the bottle body; a cleaning part which is matched with the sampling part and is used for cleaning the excrement sample attached to the sampling part is arranged at the bottle opening; when the cleaning piece is matched with the excrement sample attached to the sampling piece for cleaning, the cleaning piece is in contact with the sampling piece and scrapes the excrement sample. The sampling piece and the bottle cap are integrated, the cleaning piece is fixed in the bottle opening, after sampling is completed through the sampling piece, the sampling piece and the cleaning piece are controlled to make contact, the sampling piece and the cleaning piece are controlled to make relative displacement, then the sampling piece and the cleaning piece are controlled to conduct scraping, and a feces sample attached to the sampling piece can be conveniently cleaned through the cleaning piece in a matched mode.

This invention provides a stool specimen test device comprising: a suction port of a sample comprising a stool suspension; a sampling verification section that detect a specimen without the collected stool sample based on the absorbance of the stool suspension measured at the first wavelength; and a sample measurement section that performs measurement based on the absorbance measured at the second wavelength. This invention can improve the test accuracy by detecting a specimen without the collected stool sample in the stool specimen test.

This utility model relates to the field of fecal sample collection technology and discloses a fecal sample collection device for toilets, including a toilet seat cover with a collection bag in the center. Reinforcing stickers are symmetrically attached to the left and right sides of the upper end of the toilet seat cover. The reinforcing stickers are connected to a fixing adhesive tape, which is also bonded to the upper surface of the toilet seat cover and the inner surface of the collection bag. This fecal sample collection device for toilets uses a reinforcing mesh to protect the lower end of the fecal collection mesh. This prevents deformation of the mesh when too much feces are collected, thus avoiding contact between the feces and urine or water in the toilet. By tearing open the fixing adhesive tape, the collection bag, fecal collection mesh, and reinforcing mesh can fall directly into the toilet and be flushed away without further processing of the feces. By pulling the pull strap, the feces are agitated, allowing for separate sampling from different locations.