287 results about "Blood test" patented technology

Methods and systems for predicting the onset and progression of neurodegenerative diseases using blood test data and machine learning models are disclosed. The method involves receiving blood test values for a target subject over a previous time period, extracting features from the blood test data, and applying a trained predictive model to compute a risk score indicating the probability of developing a neurodegenerative disease. The system includes a processor that executes code to perform the method and can be implemented as a standalone application, cloud-based service, or integrated with healthcare systems. The predictive models are trained using supervised learning on labeled data and can include statistical models or machine learning algorithms. The systems and methods enable early detection of neurodegenerative diseases, personalized risk prediction, and integration with existing healthcare infrastructure. By leveraging blood test data and machine learning techniques, patient outcomes may be improved.

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 provides a blood transfusion treatment scheme recommendation system and method based on historical information, and relates to the field of medical information.The blood transfusion treatment scheme recommendation method comprises the steps that firstly, basic information and diagnosis information of a patient, real-time blood test information and historical blood transfusion medical record information are extracted from HIS, LIS, EMR and TMIS systems; performing joint semantic analysis on the basic information, the diagnosis information and the real-time blood test information, and converting the historical blood transfusion medical record information into a dynamic vector sequence; then, the current blood index and the historical blood transfusion time sequence are dynamically matched in a frequency domain space through nonlinear spectrum analysis, and a personalized recommendation scheme is generated in combination with the implicit reasoning ability of a pre-trained medical large model, so that the limitation of a traditional system in the aspects of static parameter setting, individual adaptability and semantic mining is broken through; and the accuracy and timeliness of blood transfusion treatment decision making are remarkably improved.

The invention discloses a data analysis system for early diagnosis of digestive tract diseases, relates to the field of medical health, and constructs a multi-level digestive tract disease risk assessment model through machine learning and deep learning technologies. In the preliminary evaluation stage, oral cavity gas data in the standard data set C is trained by using a support vector machine (SVM), a preliminary digestive tract risk score D1 is generated, and the preliminary digestive tract risk score D1 is compared with a preset preliminary risk threshold value T1 to judge whether a patient has a digestive tract disease risk or not. And when the score D1 exceeds the initial threshold value T1, the system automatically starts a deep learning model such as an LSTM network to carry out more accurate secondary evaluation, and calculates and outputs a deep digestive tract risk score D2. By extracting big data and analyzing medical record data, the model is further optimized, a secondary risk threshold T2 is set, and finally, real-time examination prompts such as gastroscope or blood examination are sent to a doctor or an automatic system through linkage of the system and a diagnosis and treatment server.

The invention relates to application of pirfenidone in preparation of testicular organs, and the pirfenidone can improve one or more properties and / or functions of the testicular organs, especially improve blood testis barriers and improve spermatogenesis efficiency. The invention also provides a method, a culture medium and a kit for preparing the testicular organoid.

The invention relates to a resident health automatic assessment method and system, and belongs to the technical field of health assessment. The method comprises the steps that personal information data, the number of gene mutation points, blood routine data, psychological assessment data and sleep data of residents are obtained, time sequence movement data and time sequence movement physiological index data are obtained through a measuring bracelet, and a database table is established according to the personal information data; integrating each score of the psychological assessment data to obtain psychological assessment score data, and obtaining a time sequence motion recognition result through calculation according to the time sequence motion data; marking the time sequence motion recognition result according to the abnormal result to obtain a marking result, and calculating to obtain sleep quality data and blood test score data; and calculating a physiological health assessment result and a psychological health assessment result, and storing the physiological health assessment result, the psychological health assessment result and the target result into the database table. Automatic evaluation of resident health and avoidance of unhealthy exercises are realized.

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.

The invention discloses an application method of a serum Raman spectrum as a biomarker in cognitive impairment diagnosis, a cognitive impairment diagnosis system is used for diagnosis, the cognitive impairment diagnosis system comprises a Raman spectrum detection and preprocessing module, a database module and a cognitive diagnosis module, and the application method comprises the following steps: step 1, collecting a sample; step 2, pre-treating a sample; 3, collecting and preprocessing a serum sample by using a Raman spectrum detection and preprocessing module; 4, performing model construction and optimization by utilizing a database module; step 5, performing efficiency evaluation; and 6, performing cognitive grading diagnosis on the new sample by using a cognitive diagnosis module. The method has remarkable technical progress, no cognitive impairment diagnosis blood test method suitable for the whole crowd exists clinically at present, cognitive impairment can be diagnosed through the Raman spectrum of serum, detailed cognitive function grading can be carried out, and the cost of a single sample is less than 100 yuan.

Disclosed are means, methods, and protocols for identifying and quantifying circulating regenerative and / or endothelial cells in a mammal in order to predict health status and risk of various pathologies. In one embodiment, determination of cardiovascular risk is performed using a blood test that assesses circulation of CD133 expressing cells, together with OCT-4 expressing cells, together with CD34 / CD205 expressing cells.

The invention relates to a rapid blood test material, a preparation method and a blood test method, and relates to the technical field of rapid blood test, the rapid blood test material comprises the following raw materials by percentage: 60-80% of PMMA, 10-20% of a wetting agent, 0.6-0.8% of a biological enzyme, 0.2-0.4% of an indicator, 1-3% of a stabilizer, 0.8-1.2% of a surfactant, and 0.1-0.3% of nanoparticles. According to the rapid blood testing material, the preparation method and the blood testing method, blood testing can be completed within 20 seconds by using the rapid blood testing material, the time from blood taking to result obtaining is greatly shortened, compared with a traditional blood testing method, the rapid blood testing method can reduce the blood testing cost by 60%, and the blood testing efficiency is improved by optimizing the blood testing process. A plurality of steps from blood taking to result comparison are reduced, so that the blood test process becomes simpler and more efficient, the rapid blood test method improves the working efficiency, is suitable for emergency or conventional screening requiring instant results, and can complete detection only by using a trace amount of blood samples due to the adoption of efficient design, so that the demand for blood is reduced.

The utility model discloses a blood test separator, particularly relates to the technical field of medical instruments, and solves the problems that a tester cannot lightly shake a plurality of sample test tubes in batches during manual lightly shaking, the force is not easy to control during manual lightly shaking operation, the mixing is insufficient if the force is too small, and the working efficiency is high. If the force is too large, hemolysis of a sample can be caused, and the final detection result is influenced. The test tube fixing device comprises a base, a first fixing plate and a second fixing plate are arranged on the base, a swing mechanism driven by a motor is arranged between the first fixing plate and the second fixing plate, a swing plate is connected to the top of the swing mechanism, and a plurality of fixing assemblies used for fixing test tubes are arranged on the swing plate. The purpose of the utility model is to realize batch light shaking operation of a plurality of test tubes, avoid difficulty in force control during manual light shaking operation, and prevent insufficient mixing if the force is too small and influence on a final detection result due to hemolysis of a sample if the force is too large.

A method of determining the risk of developing a known disease or condition or of identifying the presence of the known disease or condition in a subject includes obtaining subject data that includes results of blood tests. The blood tests include a basic metabolic panel (BMP) and a complete blood count (CBC) panel. The method further includes classifying the subject data with respect to the risk of the subject having or developing the known disease or condition by using the subject data in a machine learning classification system. The classification system includes a machine learning model previously trained on BMP and CBC data from a positive group of training subjects who received a diagnosis of the disease or condition and from a negative group of training subjects who were not diagnosed to have the disease or condition.

A microfluidic device (12) for applying blood samples to a sensor element (26) for protein defect diagnosis and / or for conditioning a sensor element (26) for protein defect diagnosis is proposed, as is a protein defect diagnosis device (10) with the microfluidic device (12). A method for applying blood samples to a sensor element (26) for protein defect diagnosis and / or for conditioning a sensor element (26) for protein defect diagnosis and a method for analyzing protein defects in a blood sample (212) are also disclosed.

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 provides a metabolism-related fatty liver disease prediction method based on a self-attention mechanism, and the method comprises the steps: obtaining blood test and four diagnosis instrument data of a patient, and constructing a fatty liver disease data set; according to the same index data of the same patient in different periods, adding time sequence information codes to form an optimized fatty liver disease data set with sequence features; constructing and training a fatty liver detection model, wherein the fatty liver detection model comprises a convolutional neural network, a layered attention module and a feedforward neural network layer; and inputting patient data into the trained fatty liver detection model to obtain the metabolism-related fatty liver disease prediction grade of the patient. According to the invention, the method achieves the refined reasoning of the time sequence indexes of the patient through multi-scale convolution and hierarchical attention, and improves the prediction precision of the model.

The invention discloses a personalized rehabilitation scheme recommendation system for movement cognitive impairment of old people. The system comprises a data acquisition module which is used for collecting case data about a patient; the blood test data processing module is used for performing embedded representation on the blood test data of the patient; the chief complaint text processing module is used for performing embedded representation on the patient chief complaint text; the rehabilitation scheme acquisition module is used for characterizing a single rehabilitation measure, completing characterization of a composite rehabilitation scheme, predicting the rehabilitation measure to perform event classification based on patient personalization, simulating interaction of multiple rehabilitation measures and obtaining characterization of the rehabilitation scheme; and the rehabilitation scheme recommendation module is used for recommending a personalized rehabilitation scheme for the motor cognitive impairment of the old people by utilizing the trained rehabilitation measure scoring model. According to the method, the problems of slow convergence process and even over-fitting caused by lack of an embedding process for users and articles in a current recommendation algorithm are solved; and patient personalization is not considered in single rehabilitation measure recommendation.

A biological test system has receptacles for a variety of removable electro-mechanical biological blood test-based elements having multiple features such as lancets or strips. Testing is through an analysis biological test processor that provides results to a user test output with all designed to be contained in a pocket-transportable user biological test form factor that houses all elements. Biological test elements can be interchanged for multiple sensing modalities with automatic activation based on cartridge insertion of a glucose test element, an A1C test element, a ketone test element, or the like. Designs can include a user sampler configuration selector for a user sampling selection that may be analyzed so a user-personalizable, biological sampler control processor can automatically disable operation for test safety if a user sampling selection is determined to be unacceptable. The system can also provide a user cartridge action prompt, a user reselection prompt, or other action to clear the disable.

The embodiment of the invention relates to the technical field of biological recognition, and discloses a method, a cloud platform and a system for rapidly screening drug addicts based on a skin spectrum. The method comprises the following steps: acquiring spectrum sequence data of a non-habitual palm of a screened person by adopting a skin spectrum information acquisition instrument; preprocessing the spectrum sequence data; based on the gender of the screened person, inputting the preprocessed spectrum sequence data into different drug taking identification models for identification, and obtaining a drug taking screening result; and feeding back a drug taking screening result to the mobile terminal for displaying. According to the scheme for rapidly screening the drug addicts based on the skin spectrum, compared with a traditional sampling detection method (blood detection, urinalysis, hair detection and the like), the scheme has the advantages of being free of damage in situ, and compared with a non-invasive screening method (expiration detection and iris / pupil detection), the scheme has the advantages of being rapid and few in limitation, and the scheme can be used for rapidly screening the drug addicts on site. The method is more effective, simpler, more reliable and higher in accuracy.

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.

The present invention discloses a device and method for detecting the concentration of anti-tumor drug metabolites in blood, which belongs to the field of drug detection, and comprises a housing, wherein a buffer cartridge is installed on the upper end surface of the housing, an antibody liquid cartridge is installed on the upper surface of the housing near the buffer cartridge, a blood measuring cartridge is installed on the upper surface of the housing near the buffer cartridge, and a mixing assembly is arranged at a position below the blood measuring cartridge in the interior of the housing, wherein the mixing assembly is used to mix the liquid in the buffer cartridge, the antibody liquid cartridge and the blood measuring cartridge, and the mixing assembly comprises a mixing cartridge and a first motor. The device can first ionize impurities in a sample to improve the purity of the sample, thereby improving the accuracy of detection, and then use two sets of second electrode plates to detect the conductivity of a second nitrocellulose membrane to determine the concentration of anti-tumor drug metabolites in the blood, thereby achieving accurate detection, thereby facilitating medical personnel to use drugs of different dosages according to different patients.

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 utility model discloses a blood testing and analyzing device, particularly relates to the technical field of medical instruments, and solves the technical problems that the manual shaking possibly causes non-uniform mixing and affects the detection result of a sample, and the existing blood analyzer does not have the function of uniformly mixing a sample test tube. The analyzer comprises an analyzer main body, one side of the analyzer main body is rotatably connected with a fixing mechanism for fixing a sample test tube, and the fixing mechanism is driven to rotate by a first motor arranged in the analyzer main body; a rotating mechanism for enabling the sample test tube to rotate along the axis of the sample test tube is arranged in the fixing mechanism. The utility model aims to start the first motor through the analyzer body to drive the whole fixed base to rotate, so as to complete the up-and-down turning and mixing of the whole sample test tube; the second motor is started, so that the sample test tube rotates along the axis of the sample test tube, mixing of another degree of freedom is completed, and the uniform mixing effect is improved. Compared with manual mixing, the device is better in mixing effect.

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 point-of-care testing (POCT) system comprising an analyzer, a measurement cartridge, and a calibration cartridge for calibrating the measurement cartridge is described. The measurement cartridge comprises at least one electrochemical sensor for measuring the one or more properties of the blood sample, and the calibration cartridge comprises a similar at least one electrochemical sensor and at least one sealed blister containing calibration fluid for calibrating the measurement cartridge. Examples of properties of the blood sample may be pH, blood gases, electrolytes, and metabolites like glucose and creatinine. The measurement cartridge may also comprise an optical chamber for measuring for example, bilirubin and hemoglobin species, for which the analyzer comprises stored calibration algorithms. The optical chamber may be disposed in any location in the measurement cartridge, for receiving a portion of the blood sample.

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.