109 results about "Blood testing" patented technology

The invention discloses a bone defect repair material suitability prediction method based on deep learning, and the method comprises the steps: carrying out the overlapping and uniform partitioning of a bone defect region and a host bone region in three-dimensional CT image data, carrying out the position coding and feature extraction of a plurality of sub-blocks through a three-dimensional visual Transform model of multi-scale position coding, and obtaining the anatomical and functional features; calculating a bone metabolism activity score and a systemic inflammation score based on blood detection data, and then constructing pathophysiological features; performing multi-round interaction on the anatomical and functional features, the pathophysiological features, the parameter data and the multidirectional multi-head cross attention layer, in each round, selecting one modal feature as a query vector, and selecting any modal feature in the rest modal features as a key vector and a value vector; and fusing the interaction features of each round, and determining the suitability score and the risk level of the bone repair material by combining the attention weight and the bone metabolism activity score in the multidirectional multi-head cross attention layer.

The utility model discloses a blood detection device. The blood detection device comprises a shell, test paper and a cap, the shell comprises an upper shell and a lower shell which are fixedly connected, a containing cavity is formed between the upper shell and the lower shell, the test paper is located in the containing cavity, a blood sampling head is formed at the front end of the shell, a liquid inlet is formed in the blood sampling head, and the liquid inlet is communicated with the containing cavity through a capillary structure and a premixing cavity in sequence; a hydrophobic coating belt arranged in the left-right direction is arranged on the front cavity wall of the premixing cavity, and an air hole communicated with the containing cavity is formed in the rear end of the shell; the front end of the shell is sleeved with the cap, a liquid storage bag is arranged at the bottom in the cap, and buffer liquid is stored in the liquid storage bag. The blood detection device can realize integration of sample collection and sample treatment, and has the advantages of simple structure, low manufacturing cost, convenience in use, high detection success rate, high detection accuracy and the like.

The utility model belongs to the technical field of blood detection sampling devices, and particularly relates to a blood detection sampling collector which comprises a main body and two first clamping grooves, a first connecting sleeve and a second connecting sleeve are inserted into the two first clamping grooves respectively, first clamping blocks are clamped with the interiors of the first clamping grooves, and second clamping blocks are clamped with the interiors of the second clamping grooves respectively. Limiting sleeves are clamped in the two limiting frames, rectangular grooves are formed in the bottoms of the two limiting frames, compression springs are fixedly connected to the inner tops of the limiting grooves, movable semi-rings are fixedly connected to the bottoms of the compression springs, fixing rings are fixedly connected to the inner side walls of the limiting sleeves, and diaphragms are fixedly connected to the interiors of the fixing rings. By arranging the limiting frame, the compression spring, the movable semi-ring, the limiting sleeve and the diaphragm, air isolation of a needle output hole is achieved, and pollution to blood in the main body caused by long-term exposure of the needle is avoided; and by arranging a first stop block and a second stop block, the two limiting frames can be conveniently limited by the limiting block.

This application provides a diabetes assessment device and a diabetes assessment method, relating to the field of image processing technology. The diabetes assessment device includes: an image determination module configured to determine a fundus image to be assessed, wherein the fundus image is used to characterize the physiological structures of the fundus; and a diabetes assessment module configured to determine a diabetes assessment result based on the fundus image to be assessed. By setting the image determination module, the fundus image to be assessed can be determined; by setting the diabetes assessment module, the diabetes assessment result can be determined based on the fundus image to be assessed. That is, invasive examinations such as blood tests are unnecessary; the diabetes assessment result can be determined solely based on the fundus image to be assessed, without causing harm to the patient's physical or mental health.

Provided are a resistive random-access memory (RRAM)-based blood test system and method. The system comprises: a computing chip, an RRAM chip, a power supply module, and a sensor module; the computing chip is connected to the RRAM chip; the RRAM chip is connected to the sensor module; and the power supply module is connected to the computing chip and the RRAM chip; the sensor module is configured to test a substance in blood and convert test result data into a plurality of pieces of first voltage data; the RRAM chip is configured to preprocess the received plurality of pieces of first voltage data and obtain second current data; and the computing chip is configured to, based on the second current data, perform a function computation on the second current data according to a preset function computation model, and obtain a blood-based classification result.

Eating only one meal a day can slow down the brain's awakening and onset of activity in the morning after sleep. [Solution] A transparent diet, in which the blood test data values ​​of the food consumed are known, is eaten in the morning or at noon, and a free meal is eaten in the evening. The contents of the free meal are then compared with the blood test data, and the diet is adjusted accordingly.

The blood test tube support convenient to place comprises a support body, the support body is fixedly connected with a base, a lifting block is arranged on the outer wall of the support body, a position adjusting mechanism is arranged between the lifting block and the support body, and lifting handles are rotationally connected to the outer walls of the two ends of the top of the support body. A plurality of protection pipes are arranged on the outer wall of the top of the lifting block, the inner walls of the protection pipes are hollow, movable plates are arranged on the inner walls of the protection pipes, and clamping limiting mechanisms are arranged between the movable plates and the protection pipes. According to the device, the test tubes can be sealed and stored through the multiple protection tubes arranged on the outer wall of the lifting block, the test tubes can enter the protection tubes through the clamping limiting mechanisms arranged in the protection tubes, limiting protection is conducted on the test tubes, and the purposes of sealing and position limiting protection are achieved; by arranging the position adjusting mechanism between the lifting block and the bracket, the test tube can be conveniently inserted into the inner wall of the protection tube, and the placement convenience is improved.

We provide the system. [Solution] A system that provides medical second opinions using a generative artificial intelligence device, A means for inputting blood test results using an input device, A means for inputting the results of the medical interview and physical examination, A means of integrating the above blood test results with the results of the medical interview and physical examination, A means for inputting integrated data into a generative artificial intelligence model to generate multiple treatment plans, A means for providing the generated treatment plan to healthcare professionals and patients via a display means, A means for selecting the optimal treatment plan and saving that treatment plan using a final decision-making mechanism, A system that includes this.

The present invention relates to a blood test method based on electrochemical impedance spectroscopy that can calculate clinical indicators in real time without separate clinical test equipment for calculating clinical indicators by changing the initial values ​​of blood parameters to fit the actual impedance and virtual impedance of the blood, and calculating clinical indicators using the blood parameters with changed initial values.

The utility model relates to blood test technical field discloses a blood internal medicine nursing test equipment, including organism, the top fixedly connected with sound insulation mechanism of organism, the front side inner wall fixedly connected with two test bins of organism, the inside of two test bins is fixedly connected with fixed establishment respectively, the front and back side inner wall fixedly connected with a plurality of baffle no.

This application relates to the field of neurodegenerative diseases and discloses the application of substances that detect the expression of human JUN and / or XCL2 genes in the preparation of products for detecting human Parkinson's disease. This application also discloses a product for detecting human Parkinson's disease, said product comprising substances that detect the expression of human JUN and / or XCL2 genes. The product provided by this application can achieve screening, diagnosis, or prediction of Parkinson's disease through blood tests, overcoming the technical obstacle of existing technologies that rely solely on cerebrospinal fluid diagnosis during the asymptomatic phase. This greatly alleviates patient suffering and promotes the treatment strategy of early detection and early treatment of the disease, and has significant implications for the diagnosis, treatment, and research of Parkinson's disease.

This invention discloses the application of the serum biomarker miR-206 in the preparation of Alzheimer's disease diagnostic products. This invention is the first to use the serum biomarker miR-206 in the effective and auxiliary diagnosis of Alzheimer's disease, demonstrating extremely high diagnostic performance. This invention lays the technical and data foundation for the development of stable and reliable Alzheimer's disease point-of-care testing kits or automated chemiluminescence detection systems and other in vitro diagnostic products. It has significant clinical application prospects in promoting the transformation of early screening and auxiliary diagnosis of Alzheimer's disease from reliance on complex imaging and cerebrospinal fluid examinations to convenient, non-invasive blood tests.

The invention provides a method for predicting coronary artery stenosis degree based on a tongue picture of a patient with coronary heart disease. The method comprises the steps of obtaining a data set; the data set comprises electronic medical record information, blood examination indexes, cardiac ultrasound indexes, electrocardiograms and tongue pictures of the coronary heart disease patient; dividing the preprocessed data set into a training set and a test set according to a preset proportion; building a deep learning network model; inputting the training set into the deep learning network model for training and optimization, and storing the final optimized deep learning network model; and inputting the test set into the finally optimized deep learning network model to obtain a prediction result of the coronary artery stenosis degree of the coronary heart disease patient. According to the method, the coronary artery stenosis degree is judged according to the tongue picture, the electrocardiogram, the cardiac ultrasound index and the blood examination index of the patient with the coronary heart disease, tongue picture features extracted from the tongue picture are converted into quantifiable coronary artery stenosis noninvasive screening targets, and traditional Chinese and western medicine combined diagnosis and treatment intellectualization is promoted.

The present invention relates to a method for producing health-functional milk, comprising the step of selecting healthy dairy cows suitable for raw milk production by analyzing their health status after performing a comprehensive health examination including blood tests on dairy cows, and milking the selected dairy cows while feeding them a feed for constitutional improvement according to the lactation period after calving; wherein the comprehensive health examination includes protein metabolism, energy metabolism, liver function, and mineral metabolism. Accordingly, compared to milk produced by conventional methods, it can exhibit effects such as a fresh taste, reduced off-flavors and fishy tastes, and immune activity.

The invention discloses an auxiliary elimination method for abnormal values of diabetes mellitus blood test under a multilayer sensing network, and relates to the technical field of auxiliary elimination of abnormal values of diabetes mellitus blood test. And extracting a diabetes blood test sample set influenced by label definition adjustment according to the label definition contrast structure, and determining a label drift state in the diabetes blood test training data under the condition that the label definition is adjusted by comparing expression differences of the same feature combination under different label definitions. According to the method, the problem of label drift caused by the fact that training data labels are not adjusted along with clinical standards in time is solved, dynamic identification and structured correction of judgment standards in an abnormal value identification strategy in a multi-layer sensing network are achieved, and therefore the accuracy of edge sample judgment and the adaptive capacity of a model to medical standard changes are improved.

The invention relates to the technical field of blood detection, in particular to a blood detection method and system based on augmented reality. Comprising the following steps: calculating an alignment error index of a microscopic image and an image of the augmented reality head-mounted display device; comparing the virtual information with the pixel features of the corresponding area in the microscopic image to obtain a virtual and real goodness of fit score; an identification confidence coefficient is obtained from the prediction result to represent judgment and mastering of the current identification result; calculating a comprehensive data confidence coefficient score based on the alignment error index, the virtual and real goodness of fit score and the recognition confidence coefficient; comparing the comprehensive data confidence score with a rechecking threshold to obtain a comparison result, and labeling a cell recognition result in the blood detection report; and in response to a label in the blood detection report, executing a positioning reproduction operation. The technical problems that an existing blood detection system based on augmented reality is low in automatic cell recognition accuracy, consequently, a blood detection report is intrusive, and the clinical diagnosis accuracy is affected are solved.

This invention discloses a method for quantitatively detecting muscle inositol in blood. It employs an electrochemical method and specifically includes the following steps: a) preparation of a series of standard working solutions; b) preparation of a blank sample solution; c) plotting a standard curve using differential pulse voltammetry (DPV) with the blank sample solution and the series of standard working solutions; d) preparation of the test sample solution; e) determination of the muscle inositol content in the test sample. Experiments have demonstrated that the method of this invention yields accurate and reliable results and can be used for clinical blood testing.

1. The name of the design product: blood treatment tray. 2. The use of the design product: for placing blood test tube and other blood treatment supplies. 3. The design points of the design product: the combination of shape and color. 4. The picture or photo that best shows the design points: perspective view. 5. The design claimed contains color.

The invention relates to a transdermal patch combined with an electronic control system in the form of a smartwatch. The patch features a display that shows information about the current status and drug delivery. Simultaneously, electrical contacts within the patch enable the targeted delivery of active ingredients under the skin. The system reacts in real time to the patient's condition and can be used for various applications including insulin control, blood measurement and vacuum blood tests. The invention offers precise and needs-based control of drug delivery and enables continuous monitoring and adjustment based on the patient's current needs.

The present invention belongs to the field of prognosis of pesticide poisoning. Specifically disclosed is a method for establishing a mortality risk prediction index for acute diquat pesticide poisoning, comprising: collecting data; establishing a mortality risk index model based on demographic characteristics and routine blood test results; and training, internally validating, and externally validating the model. The mortality risk index provided by the present invention comprehensively considers age, blood concentration of diquat, white blood cell count, and aspartate aminotransferase concentration, aiming to accurately evaluate, in the form of an index, the mortality risk of patients suffering from acute diquat pesticide poisoning. Through in-depth analysis of large-scale clinical data, the mortality risk index of the present invention possesses scientific validity and accuracy at the data level, and can also play an important role in clinical practice. Further, the present invention can be applied to construct a terminal device for predicting the mortality risk of acute diquat pesticide poisoning, assisting medical teams in more reasonably allocating medical resources and prioritizing high-risk patients, thereby improving overall treatment outcomes and the patients' chances of survival.

This invention relates to the field of medical diagnostic technology and discloses a non-invasive early DCM analysis method based on multi-radiomics and serum biomarkers. The method involves acquiring image data using multimodal medical imaging equipment and serum biomarker data using blood testing equipment; generating radiomics feature sets and serum biomarker time-series feature sets using multi-scale feature extraction algorithms and temporal analysis models, respectively; fusing these features using a dynamic weighted fusion strategy to generate a joint feature matrix; inputting this matrix into a pre-trained multi-task deep learning model to predict the probability of DCM risk; and finally, optimizing the diagnostic decision tree based on a genetic algorithm to output the early DCM diagnostic result. This method is non-invasive, accurate, and can effectively improve the accuracy of early DCM diagnosis.

Some embodiments of a blood coagulation testing system include an analyzer console device and a single-use cartridge component configured to releasably install into the console device. In some embodiments, the blood coagulation testing system can operate as an automated thromboelastometry system that is particularly useful, for example, at a point-of-care site.

1. Name of the product in this design: Blood Cell Detection Reagent Card. 2. Purpose of this design: Blood cell test reagent card, used in conjunction with testing equipment to perform one or more routine blood tests and immune tests, commonly used in emergency rooms, primary healthcare settings and other scenarios. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design points: 3D view of the combined state 1. 5. Other components requiring explanation: The blood cell test reagent card includes component 1, component 2 and component 3. Component 3 is the reagent card body. Components 1 and 2 are transfusion devices used to deliver the blood sample to be tested into the reagent card body. Components 1 and 2 are detachably plugged into designated parts of component 3. The test can be started after either component 1 or 2 is inserted or both are inserted. Combination state 1 is the state after both component 1 and component 2 are inserted; combination state 2 is the state after component 1 is inserted but component 2 is not inserted; combination state 3 is the state after component 2 is inserted but component 1 is not inserted.

The application discloses a kind of bone defect repair material adaptability prediction methods based on deep learning, the bone defect region and host bone region in three-dimensional CT image data are overlapped and evenly divided, and the three-dimensional visual Transformer model of multi-scale position coding is used to carry out position coding and feature extraction to multiple sub-blocks, to obtain anatomical and functional characteristics;Pathophysiological characteristics are constructed after calculating bone metabolic activity score and systemic inflammation score based on blood test data;Anatomical and functional characteristics, pathophysiological characteristics, parameter data and multi-direction multi-head cross attention layer are interacted in multiple rounds, in each round, select a modal feature as a query vector, select any modal feature in the remaining modal feature as a key vector and a value vector;The interactive features of each round are fused, and the adaptability score and risk level of bone repair material are determined by combining the attention weight in the multi-direction multi-head cross attention layer and the bone metabolic activity score.

The invention relates to the technical field of medical care informatics, and discloses a medical health information processing system for blood test data, comprising: a time sequence data gating unit for acquiring test data and calculating a time interval, and calculating a unit time change rate of an index when the interval falls into an effective physiological response period; the polarity shunting locking unit is used for locking a positive or negative driving data set as a reference source according to the positive and negative polarities of the change rate; the collaborative drift calculation unit is used for calculating the instantaneous collaborative slope and the deviation degree of the instantaneous collaborative slope relative to the reference collaborative slope; the state closed-loop output unit generates a state signal when the deviation degree exceeds a relative steady-state threshold, through a bidirectional reference locking and timeliness gating mechanism, the problem of data analysis distortion caused by a physiological hysteresis effect and sampling discreteness is solved, and the signal-to-noise ratio and accuracy of physiological state evaluation under the non-equidistant sampling condition are effectively improved.

1. The name of the design product: blood coagulation instrument. 2. The use of the design product: for blood test in department of hematology. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

This invention discloses a fully automated chemiluminescence immunoassay blood gas analyzer, belonging to the field of blood testing technology. The analyzer includes a sample loading module, a mixing module, and a blood gas module. The sample loading module includes a sample tray with a locking slot for holding a blood collection needle. The mixing module includes a first longitudinal displacement module, a first lifting displacement module, a first rotation module, and grippers. The grippers can grasp the blood collection needle within the locking slot. The first longitudinal displacement module and the first lifting displacement module can move the blood collection needle within a first plane. The first rotation module can shake the blood collection needle via the grippers. The blood gas module has an extendable blood gas sampling needle located within the first plane. Compared with existing technologies, the fully automated chemiluminescence immunoassay blood gas analyzer provided by this invention integrates the functions of both chemiluminescence and immunoassay blood gas analyzers. Only one blood sample is needed to complete both types of tests, reducing the burden on patients, decreasing consumable consumption, and simplifying the testing operation.

The invention discloses a sample collection device for blood detection, and belongs to the technical field of blood collection. By starting a swing assembly, an upper supporting assembly and a lower supporting assembly outside a stand column integrally do reciprocating revolution, and an outer gear ring can be subjected to meshing driving force of an inner gear ring in the reciprocating revolution process and rotate around the axis of the outer gear ring; the rotation of the outer gear ring drives the test tube rack and the blood sampling test tubes in the test tube rack to synchronously rotate, and in the reciprocating revolution process of the outer gear ring, the test tube rack drives the internal sample test tubes to rotate again, so that the blood sampling test tubes simultaneously perform reciprocating revolution and continuous reciprocating rotation around the stand column in a refrigeration environment; a blood sample in the test tube generates continuous dynamic flow, the dynamic flow can promote uniform mixing of blood and an anticoagulant in the test tube, local aggregation of the anticoagulant is avoided, precipitation and condensation of the sample are effectively inhibited from the physical level, uniform and stable components of the sample are guaranteed, and the accuracy and consistency of a detection result are improved.

This invention provides a multimodal signal fusion method for brain-computer interfaces, belonging to the field of data processing technology. Specifically, it includes: acquiring electroencephalogram (EEG) signals, functional magnetic resonance imaging (fMRI) signals, and blood test data; performing time alignment based on a unified time reference; performing modality-specific preprocessing and quality control; constructing a five-level brain topology hierarchy based on brain physiological priors to achieve spatial-physiological alignment of electrode space, brain region space, and biochemical indicators; extracting multi-scale features of each modality based on the five-level brain topology hierarchy; projecting the multi-scale features onto a unified semantic space and achieving semantic alignment through cross-modal comparative learning based on physiological perception; constructing a physiologically guided cross-modal hierarchical fusion network to fuse features of each modality layer by layer from coarse to fine scales, and performing global aggregation based on physiological weights to generate multimodal fusion features. This invention improves fusion efficiency, accuracy, and adaptability.