169 results about "Blood test" patented technology

The present invention relates to a blood testing machine comprising a loading device, a retrieving device, a batching device, a transfer device, and a testing device. After a blood sample is collected, a blood collection tube and other materials are placed in the loading device. After the loading device loads the sample, the retrieving device clamps the blood collection tube and other materials on the loading device and moves them to a set position in the batching device. The blood in the blood collection tube is sampled by the batching device and the reagents required for the test are added to form a test specimen. The transfer device transfers the test specimen to the testing device for blood testing. Compared with the prior art, the present invention substantially automates the steps of blood testing, including sample transportation, sample reception and processing, on-board testing, and sample storage, greatly improving the accuracy and speed of testing.

The invention discloses a phosphatidylcholine gold nano CT (Computed Tomography) probe as well as a preparation method and application thereof, and belongs to the technical field of medical materials. The preparation method comprises the following steps: step S1, preparing a phosphatidylcholine ligand NH2-MPC; step S2, synthesis of a gold nanocluster GS-Au25 is carried out; and S3, the GS-Au25 is modified with a PC ligand, and the PC-Au25 is prepared. The ultra-small gold nano CT probe PC-Au25 with an Au25 gold nano cluster as a core and phosphatidylcholine PC as a surface ligand is obtained by optimizing and screening the core size and the surface ligand property of ultra-small gold nano particles. Wherein the 2-methacryloyloxyethyl phosphorylcholine is used as a PC ligand for the first time to modify the surfaces of the ultra-small gold nanoparticles, so that the surface modification of the ultra-small gold nanoparticles is realized, and the ultra-small gold nanoparticles can be efficiently and freely filtered through the kidney. The CT probe can be applied to the determination of the glomerular filtration rate through a CT imaging or blood test method.

The invention provides a myocardial amyloidosis classification prediction method and system based on cardiac magnetic resonance multi-sequence radiomics, and is applied to the technical field of data processing. The method comprises the following steps: preprocessing cardiac magnetic resonance multi-sequence image information to generate a standardized multi-sequence image data set; processing the standardized multi-sequence image data set to generate a target image omics feature vector; processing the gene detection information to generate pathogenic gene characteristics and mutation type characteristics; processing the target radiomics feature vectors and the cardiac magnetic resonance parameters based on medical knowledge graph data to generate an AL type myocardial feature associated feature set and an ATTR type myocardial feature associated feature set; processing the blood detection index information and the intestinal microflora parameter information to generate myocardial amyloidosis influence factors; and processing the data based on the target myocardial amyloidosis classification prediction model to generate a myocardial amyloidosis classification prediction result.

A system for early diagnosis and prognosis prediction of sepsis, according to an embodiment of the present invention, includes: a memory for storing general blood test data of a patient; and a processor, wherein the processor may be configured to pre-process the general blood test data of the patient stored in the memory as data to be input to an artificial intelligence model, input the pre-processed data to the artificial intelligence model trained for early diagnosis and prognosis prediction of sepsis, and obtain a sepsis prediction result from the artificial intelligence model.

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 invention relates to a sepsis detection system which evaluates the sepsis risk of a patient in real time by integrating clinical signs, various physiological parameters, laboratory detection data and biomarkers and utilizing an intelligent algorithm. The system comprises a data acquisition module, a data transmission module, a data processing module, a user display module and an alarm module. The data acquisition module monitors physiological parameters such as consciousness, body temperature, heart rate, respiratory rate, finger pulse oxygen saturation, invasive blood pressure, urine volume and skin piebald in real time, and biomarker data such as leukocyte count, neutrophile granulocyte, neutrophile granulocyte number, C-reactive protein, procalcitonin and interleukin-6 are obtained through blood detection. And the data processing module performs sepsis risk assessment by integrating the biomarkers and the physiological parameters in combination with a machine learning model, and outputs a risk level. The user display module displays the evaluation result in real time and provides treatment suggestions, and the alarm module triggers an alarm under the high-risk condition to ensure timely intervention.

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.

The utility model relates to the technical field of blood, and discloses a blood vibration mixing device which comprises an operation table, a vibration assembly is arranged above the operation table, the vibration assembly comprises a vibration table, a storage shell is arranged on the vibration table, and a plurality of storage grooves are formed in the storage shell; a plurality of reset springs are jointly and fixedly connected to the lower portion of the vibration table and the upper portion of the operation table, a rotating assembly is arranged in the operation table, and the rotating assembly comprises a rotating pipe, the vibration assembly is arranged, the storage shell rotates through the rotating pipe and a rotating rod, and therefore the storage shell can drive blood test tubes in the storage groove to rotate; meanwhile, under the action of reset springs on the vibration table, after the reset springs vibrate, the vibration table can drive the storage shell to vibrate, and therefore the blood test tubes in the storage groove can rotate and vibrate, and the blood can be fully mixed.

The invention relates to a medical data analysis method and device based on artificial intelligence, equipment and a medium. The method comprises the following steps: acquiring medical data of a user; the medical data comprises blood detection data, medical image index data and basic data, and the medical data is provided with a sampling time label; extracting a change trend of the medical data to obtain a comprehensive feature vector; the comprehensive feature vector at least comprises a blood detection change vector and a medical image index change vector; calculating weighted weights of the blood detection change vector and the medical image index change vector in the comprehensive feature vector, and adjusting the comprehensive feature vector based on the weighted weights to obtain a fused feature vector; and predicting a disease type and a disease risk probability of the user based on the fusion feature vector, and generating a medical report of the user based on the disease type and the risk probability. By adopting the method, the accuracy and timeliness of cardiovascular and cerebrovascular medical data analysis can be improved.

A method of selecting a treatment for a subject having cancer is disclosed. The method comprises:(a) determining a level of catalytic activity of at least one DNA repair enzyme in a biological sample of the subject; and(b) selecting an immune checkpoint regulator as a treatment for a subject having a statistically significant different level of catalytic activity of the DNA repair enzyme as compared to the catalytic activity of the DNA repair enzyme in a biological sample of a healthy subject.

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 present invention provides a computer-implemented method for creating an interpretable machine learning classification model, the method being implemented on one or more processors connected to a memory. According to an embodiment, the method includes the steps of defining the model by setting up a chained component classification (CBC) architecture (300) including several multiple chained component classification (CBC) blocks (310), training the model end-to-end with available input data (402) including forward propagating samples (401) of the input data (402) through the chained CBC architecture (300), and interpreting the output of each CBC block (310) of the chained CBC architecture (300) except for the last CBC block (310) as a likelihood vector of the concept detected in the respective CBC block (310). The present invention can be used for several anticipated medical / healthcare use cases, such as transparent disease classification by analyzing markers in blood tests and knowledge discovery for disease classification.

A tangent flow hemolysis blood testing assembly, device and method are described herein.

The present invention discloses an EBV-related gastric cancer diagnostic marker and its application, wherein the diagnostic marker is selected from at least one of LF2 protein and BFRF3 protein. The present invention is the first to screen and obtain two diagnostic markers for EBV-related gastric cancer (EBVaGC) based on proteome chips and phage display technology - LF2 protein and BFRF3 protein, which can efficiently and accurately diagnose EBVaGC. In particular, the AUC of the combined diagnosis of these two proteins can reach 0.911, which is significantly better than the AUC of the individual diagnoses. And when diagnosing EBVaGC based on these two proteins, no tissue sample is required, only a serum sample is required, and it can be detected during a routine blood test. Therefore, compared with existing diagnostic methods, the present invention has the characteristics of high accuracy, small limitations, and low cost, reduces the cost of medical treatment for patients, is conducive to the realization of universal screening of the population, simplifies the diagnosis process of EBVaGC, and significantly improves the treatment efficiency.

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.

An exemplary embodiment includes obtaining, by a computing system, observed values of an individual's demographic values, an individual's vital sign values, and an individual's blood test values; applying, by the computing system, a machine learning model to the observed values; providing, by the computing system, a prediction as to whether the individual exhibits undiagnosed albuminuria or proteinuria based on the observed values; and the machine learning model is trained by a training dataset. The training dataset includes corresponding demographic values, vital sign values, blood test values, and observed values of either a urine albumin-to-creatinine ratio (UACR) value or a urine protein-to-creatinine ratio (UPR) value for a plurality of individuals. The machine learning model is configured to provide a prediction as to whether further observed values indicate undiagnosed albuminuria or proteinuria.

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 embodiment of the invention relates to the technical field of artificial intelligence, and particularly discloses a pneumonia risk prompting method and system based on artificial intelligence. According to the embodiment of the invention, a pneumonia risk model is constructed; receiving a lung examination image uploaded by the target patient, performing image denoising processing, and receiving a blood examination report text uploaded by the target patient; performing dual-channel feature extraction to obtain dual-channel feature data; carrying out weight fusion on the dual-channel feature data; and importing the fusion feature data into a pneumonia risk model, outputting a pneumonia infection level, and carrying out environment monitoring and specific prompting. The method can construct a pneumonia risk model, perform image denoising processing on a received lung examination image, perform dual-channel feature extraction and weight fusion, import fusion feature data into the pneumonia risk model, output a pneumonia infection level, and perform specific prompt, so that artificial analysis and judgment by experienced medical personnel are not needed, and the accuracy of the pneumonia risk model is improved. And automatic judgment and risk prompt are directly carried out through artificial intelligence.

The utility model discloses a blood transfusion cross-matching inspection test tube rack, which particularly relates to the technical field of medical equipment and comprises a bottom plate, a fixing frame is fixedly arranged at the top of the bottom plate, a limiting groove is formed in the surface of the bottom plate, a limiting block is clamped in the limiting groove, and a movable frame is fixedly arranged at the top of the limiting block. Two shells are arranged between the fixed frame and the movable frame, clamping mechanisms are fixedly arranged in the two shells, each clamping mechanism comprises a sponge layer fixedly arranged in the corresponding shell, a plurality of placement grooves with different hole diameters are formed in the surface of each sponge layer, a plurality of test tube holes with different hole diameters are formed in the surface of each shell, and the test tube holes are communicated with the placement grooves. The test tube holes correspond to the placement grooves in position, and a partition plate is fixedly arranged at the top of the sponge layer. According to the test tube rack, test tubes with different sizes can be conveniently fixed, the test tubes can be conveniently taken and used, meanwhile, the heights and angles of the test tubes can be conveniently adjusted, and the reaction of solvents in the test tubes can be better observed.

The present invention belongs to the technical field of test tube oscillation, and specifically discloses a vibration mixing device for blood test, which comprises a base. On both sides of the upper wall of the base, support frames are symmetrically arranged. A placement rack is arranged on one of the support frames, and a walking test tube oscillation mechanism is arranged on the other support frame. The walking test tube oscillation mechanism includes a support walking component, a slow descent oscillation transmission component, a walking transmission component, an anti-retrograde ratchet component, an automatic restoration component, and a placement propulsion component. The present invention automatically completes the slow oscillation of the blood collection test tube and automatically completes the placement of the blood collection test tube, improving the convenience of blood collection and avoiding blood hemolysis at the same time.

The invention discloses a blood specimen storage management system for a blood transfusion department, and relates to the technical field of medical treatment, and the system comprises an integrated information collection module which is used for obtaining collection data, storage environment data, blood test data and blood use dynamic data of a blood specimen set in real time, generating a radio frequency identification tag code of the blood sample set; the blood specimen storage module is used for storing the collection data of the blood specimen set, the storage environment data, the blood test data and the blood use dynamic data in a preset medical storage space; the blood specimen query module is used for querying the storage position of the blood specimen set in the preset medical storage space in real time according to the radio frequency identification tag code of the blood specimen set; and the intelligent environment monitoring module is used for monitoring the temperature, humidity and illumination intensity of the storage position of the blood sample set.

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.

The utility model discloses a lipemia detection device for a medical sample. The lipemia detection device is used for reducing the difficulty of blood sample detection. The centrifugal machine comprises a centrifugal machine shell, a sealing cover, a centrifugal motor, a rotating seat, a rotating column, a condensate spraying device, a centrifugal tank and at least two blood sample plates, the centrifugal motor is installed in the center of the outer side of the bottom face of the centrifugal machine shell. The rotating base is arranged in the center of the inner side of the bottom face of the centrifugal machine shell. The centrifugal motor is connected with the rotating base. The rotating column is arranged in the center of the rotating seat; the centrifugal tank is arranged on the rotating column, a first sample fixing module is arranged at the bottom of the centrifugal tank, and a second sample fixing module is arranged on the side wall of the centrifugal tank; the blood sample plate comprises at least one blood test tube arranged at intervals; fixing blocks are arranged on the upper side and the lower side of the blood sample plate, and the blood sample plate is detachably fixed to the first fixing module and the second fixing module through the fixing blocks on the upper side and the lower side respectively; the sealing cover is positioned at the top of the centrifuge shell; and the condensate spraying device is arranged on the sealing cover.

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.

A blood sampling testing device is provided. [Solution] The blood test stick comprises a test stick body, a fingertip blood collection needle (2), and a liquid reservoir protective cap. The fingertip blood collection needle is attached to the grip end of the test stick body, and the liquid reservoir protective cap is attached to the test end of the test stick body, with a buffer solution stored in the liquid reservoir protective cap. By integrating the blood collection needle into the grip end of the blood test stick, both ends of the blood test stick can be used to puncture the user's skin and collect blood, simplifying the complexity of user operation. In addition, a mounting groove is opened at the grip end of the test stick body, and a ribbed structure is provided within the mounting groove. The fingertip blood collection needle is connected to the mounting groove with an interference fit, maintaining a secure connection of the blood collection needle body to the housing when the user pulls out the blood collection cap.

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.