6798 results about "Hematological test" patented technology

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving one or more vascular models associated with either the patient or with a plurality of individuals; receiving observed perfusion information associated with the patient; and estimating, using one or more computer processors, one or more blood flow characteristics or one or more pathological characteristics of the patient based on the observed perfusion information and the one or more vascular models.

A system and method for determining native cardiac output of a heart while maintaining operation of an intracardiac blood pump includes determining a current drawn by the pump motor, a blood pressure within the ascending aorta, and a change in the blood temperature based on a thermodilution technique. An intracardiac blood pump positioned in the aorta includes at least one sensor for determining a motor current and blood pressure and a thermistor for determining the change in blood temperature after a precise fluid bolus has been introduced into the vasculature. A processor receives current, pressure, and temperature measurements, and calculates a pump flow output and a total cardiac output from which the native cardiac output is calculated. The native cardiac output and other clinically relevant variables derived from the measurements inform decisions related to continued therapeutic care, including increasing or decreasing cardiac assistance provided by the intracardiac pump.

Apparatus and methods are described including placing, into a subject's body, a blood-pump tube, with an impeller disposed within the blood-pump tube. At least one blood-pressure-measurement element extends to at least an outer surface of the blood-pump tube, such that the distal end of the blood-pressure-measurement element is in direct fluid communication with a bloodstream of the subject outside the blood-pump tube at a location that is proximal to blood-inlet opening(s) defined by the blood-pump tube. Blood is pumped through the blood-pump tube, using the impeller. Pressure of the bloodstream of the subject outside the blood-pump tube is measured by measuring blood pressure at the distal end of the left-ventricular blood-pressure-measurement element. Other applications are also described.

The systems and methods described herein determine metrics of cardiac performance via a mechanical circulatory support device and use the cardiac performance to calibrate, control and deliver mechanical circulatory support for the heart. The systems include a controller configured to operate the device, receive inputs indicative of device operating conditions and hemodynamic parameters, and determine vascular performance, including vascular resistance and compliance, and native cardiac output. The systems and methods operate by using the mechanical circulatory support device (e.g., a heart pump) to introduce controlled perturbations of the vascular system and, in response, determine heart parameters such as stroke volume, vascular resistance and compliance, left ventricular end diastolic pressure, and ultimately determine native cardiac output.

A noninvasive patient-specific method is provided to aid in the analysis, diagnosis, prediction or treatment of hemodynamics of the cardiovascular system of a patient. Coronary blood flow and pressure can be predicted using a 3-D patient image-based model that is implicitly coupled with a model of at least a portion of the remaining cardiovascular system. The 3-D patient image-based model includes at least a portion of the thoracic aorta and epicardial coronaries of the patient. The shape of one or more velocity profiles at the interface of the models is enforced to control complex flow features of recirculating or retrograde flow thereby minimizing model instabilities and resulting in patient-specific predictions of coronary flow rate and pressure. The invention allows for patient-specific predictions of the effect of different or varying physiological states and hemodynamic benefits of coronary medical interventions, percutaneous coronary interventions and surgical therapies.

The invention discloses a blood tumor patient clinical data analysis method and system based on a knowledge graph, and relates to the technical field of medical information processing. The method comprises the following steps: analyzing an unstructured text by utilizing a natural language processing model, and constructing a standardized entity set; aggregating laboratory indexes through a dynamic window, and constructing a time axis data set for marking a treatment stage; a standardized entity is integrated based on a blood tumor ontology model, a dynamic global knowledge graph is constructed in combination with a clinical causal relationship and a time sequence path, and chain reaction early warning is realized; based on the real-time patient sub-atlas, successful cases with the same molecular features are retrieved in the knowledge atlas to generate a candidate treatment scheme set, a graph neural network trained through an optimization algorithm is utilized to predict the complication risk of each scheme, and finally the optimal treatment scheme is evaluated and selected; according to the method, a clinical data barrier is broken through, dynamic reasoning, advanced risk early warning and personalized scheme optimization of the whole treatment cycle are realized, and the diagnosis and treatment accuracy, safety and medical resource utilization efficiency are remarkably improved.

The invention discloses a test system and method for an artificial heart valve implant, and relates to the technical field of medical instrument detection. The system comprises a ventricle simulator, an atrium simulator, a circulation loop, a high-speed camera and a laser generator, wherein an artificial heart valve is arranged in the high-transparency compliance valve testing cavity, and the circulation loop is composed of a blood vessel compliance simulator and a blood vessel damping simulator. The circulation loop simulates a blood flowing environment for the artificial heart valve, and a flowing medium is added with tracer particle turbid liquid; the ventricle simulator, the atrium simulator, the vascular damper and the vascular compliance simulator respectively provide power, storage space, resistance and pulse pressure for the flowing medium; and the laser generator and the high-speed camera act together to obtain a particle image behind the artificial heart valve. The particle image is uploaded to a computer for heart valve pulsating flow field visualization analysis based on the digital particle image velocity measurement technology, and therefore quantitative analysis of the risk after the heart valve is implanted into the expected position is achieved.

Systems and methods are disclosed for processing medical images. One method includes: receiving a patient-specific vessel model of one or more vessels of a patient and a patient-specific tissue model of a tissue supplied by the one or more vessels, wherein the patient-specific vessel model and the patient-specific tissue model are derived from the medical images of the patient; determining one or more patient-specific values of one or more anatomical or physiological parameters based on the patient-specific vessel model or the patient-specific tissue model; determining an estimated supplied blood to the tissue; computing an estimate of a perfusion of blood in the tissue based on the determined patient-specific values of the one or more anatomical or physiological parameters and the determined estimated supplied blood to the tissue; generating a visualization of the computed estimate of the perfusion of blood; and displaying the estimate of the perfusion on an electronic display.

The invention is a delivery catheter, e.g., a guide catheter, having an imaging element in proximity to the distal end of the catheter. Catheters of the invention are able to placement of the catheter in proximity to an ostium, thereby increasing the efficiency of contrast delivery while reducing the risk of ischemia due to blocked blood supply. The invention additionally assists in maintaining catheter position during delivery of a fluid from the catheter, resulting in better performance with less fluid. For example, a catheter of the invention can be used to produce improved fluoroscopic images with less overall contrast. This improvement reduces the risk of an allergic reaction to the contrast while decreasing the length of time for a procedure, i.e., because of a need to re-contrast.

A handheld medical diagnostic device integrates at least seven sensor modules, including a high-magnification camera, otoscope camera, stethoscope, infrared thermometer, EKG, pulse oximeter, body composition monitor, glucometer, and / or hematology analyzer. The device features a system-on-chip (SoC) processor for intelligent data management, edge computing, and cloud-based AI processing, while applying privacy-preserving techniques. A wireless transceiver enables data transmission and reception between the sensors, edge compute nodes, and cloud platforms. The ergonomically designed housing includes a display with a force-sensitive layer for user input and navigation. The high-magnification camera module offers 300× magnification for visualizing blood cells and skin, with an annular LED array, encryption engine, and physically unclonable function (PUF) circuit. The otoscope camera module features a narrow profile for ear, nose, and throat imaging, with an annular LED array.

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

The invention discloses an intelligent thrombus suction and cutting system, and belongs to the field of medical instruments. According to the system, the design of double pressure sensors and the intelligent pressure feedback control technology are adopted, and the suction state (blood suction, thrombus suction or complete blockage) is accurately recognized by monitoring pressure changes in a negative pressure pump pipeline and a suction catheter in real time and combining historical data analysis. The system automatically adjusts parameters of a pipeline control valve, a negative pressure pump, a peristaltic pump and the like according to the parameters, and intelligent optimization control over the suction process is achieved. The innovative integrated design of the double-cavity catheter integrates the functions of suction and thrombus breaking, when the complete blockage state is judged, the thrombus breaking program can be automatically or manually started, thrombus is quickly broken through high-speed liquid impact or thrombolysis medicine injection, and long-time suction catheter blockage is effectively prevented. The system obviously improves the thrombus aspiration efficiency, reduces the blood loss amount of a patient, optimizes the operation process, and has a good clinical application prospect.

The invention relates to the technical field of intraoperative bleeding amount monitoring, and provides an intelligent intraoperative bleeding amount monitoring and alarming method and system.The method comprises the steps that during an operation, blood, body fluid and cleaning fluid in an operation area are cleaned in time through a suction bottle and gauze; after the gauze is used, the absorbed liquid is partially screwed out and flows into the liquid collecting tank; weight changes of the suction bottle and the gauze storage area are detected in real time respectively, signals are transmitted to the data processing module, the concentration of hemoglobin in the two kinds of liquid is detected, the concentration of blood in the liquid is calculated, and the concentration of the hemoglobin in the liquid is calculated by combining the amount of the liquid sucked by the suction bottle and the amount of the liquid taken out by the gauze in real time. The amount of blood brought out by the gauze and the amount of blood sucked out by the suction bottle are calculated in real time, the real-time bleeding amount of a patient in an operation is obtained, and when the real-time bleeding amount reaches a threshold value, early warning is given out. The problems that errors are large in a traditional method, and particularly in a large amount of blood loss or a complex operation scene, the blood loss dynamic state is difficult to master timely and accurately are solved.

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 invention relates to the technical field of data monitoring and analysis, and discloses a hemodialysis care unit extracorporeal circulator monitoring method and system and a storage medium. The method comprises the steps that vital signs and identity features of a patient are collected, a sign feature data set is obtained through fusion processing, and initial dialysis parameters are generated; analyzing the sign feature data set to obtain blood vessel state parameters; adjusting a circulation system based on the blood vessel state parameters and the initial dialysis parameters to obtain circulation control data; monitoring a dialysate path by using the circulation control data, and generating a liquid path operation parameter; the circulation control data and the liquid path operation parameters are integrated to analyze the system state, and equipment early warning indexes are formed; and evaluating equipment operation according to the early warning index and generating an automatic control instruction. According to the method, deep integration of the physical sign characteristic data of the patient and the equipment operation data is realized, a data-driven objective decision basis is provided for the dialysis process, and the safety and effectiveness of dialysis treatment are improved.

Agentic AI, Contextual AI, and Generative AI systems and methods are provided for quantitative or qualitative patient analytics, blood work analytics, medical image analytics (x-ray, ultrasound, CT Scan, MRI and the like), brain scan analytics, present or historical genetic analytics and the like, to be used to guide, assist or even replace some of these physician functions with improved patient outcomes or with an improved understanding of the source of ailments, the analysis of treatment efficacy or treatment side-effects for individuals or populations of individuals. Genetic information is used to create individualized or population-based analysis, diagnostics, or treatment plans with even better outcomes.

The invention discloses a diabetic foot assessment method based on wound image recognition. The method comprises the following steps: processing a foot infrared thermal imaging image to generate a temperature anomaly graph; fusing the foot wound image and the temperature anomaly graph to generate a fused image; constructing a foot blood flow analysis model, extracting a blood flow influence factor, and correcting the fused image through the blood flow influence factor; and constructing a joint assessment model, taking the corrected fusion image and historical data of the diabetic foot patient as input of the joint assessment model, predicting a risk assessment level of the diabetic foot, and outputting a disease assessment result of the diabetic foot patient according to the risk assessment level. According to the method, multi-modal medical image fusion analysis is realized, the accuracy of wound area positioning and pathological state expression is improved, the accuracy of lesion area recognition is improved, the illness worsening risk can be predicted in advance, clinical decision can be assisted, the risk of serious complications such as amputation of a patient is reduced, and the prognosis and life quality of the patient are 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 relates to the technical field of biomarkers, in particular to a blood biomarker combination for prediction and auxiliary diagnosis of ovarian reserve hypofunction (DOR), a corresponding detection kit and application of the blood biomarker combination. According to the invention, the content change of the nicotinamide mononucleotide (NMN) and the metabolite combination thereof in serum or plasma is screened for the first time and can be used as a detection index for predicting the ovarian reserve function decline. Based on the biomarker combination, the invention further provides an in-vitro detection kit containing a related standard substance, an internal standard solution and an extracting solution, and a data analysis method combined with a random forest model, so that an individual with a normal ovarian reserve function and an individual with hypofunction can be accurately distinguished. The method is noninvasive, simple, convenient, high in sensitivity and suitable for early recognition and layered screening of clinical ovarian reserve hypofunction.

A catheter includes a catheter body, a pump assembly and a cannula. The pump assembly can be disposed at a distal end of the catheter body and has a distal portion. The cannula can be coupled to the distal end portion of the pump assembly and can include a proximal cannula portion and a distal cannula portion. The distal cannula portion has an approximately helical shape which can allow the cannula to be inserted into a patient's right heart and pump blood therethrough. In certain implementations, the distal tip of the helical shape has a slight bias relative to the main helix to further facilitate delivery of the device. In certain applications this bias is toward the central axis of the helix.

Computer-implemented methods and systems are provided for quantitative hemodynamic flow analysis, which involves retrieving patient specific image data. A 3D reconstruction of a vessel of interest can be created from the patient specific image data. Geometric information can be extracted from the 3D reconstruction. A lesion position can be determined. Patient specific data can be obtained. Hemodynamic results can be calculated based on the geometric information, the lesion position and the patient specific data.

The invention provides a whole blood donor low hemoglobin delayed blood donation risk prediction method, which comprises a data normalization and abnormal value processing module, a classification feature coding module, a category balance and model fitting module, a hyper-parameter adjustment module and a model interpretation and deployment module. According to the prediction method provided by the invention, data normalization and targeted feature coding are carried out on blood donation records and hemoglobin detection data, an SMOTE oversampling algorithm is used for class balance and then fitting of a Light GBM model is carried out, and a Hyperband hyper-parameter adjustment method is used for adjusting and optimizing SMOTE and Light GBM parameters. And storing the tuning model for feature importance interpretation, model packaging and network deployment, thereby realizing the effects of optimizing the whole blood donor invitation strategy and enhancing the continuity and stability of blood supply.

The invention relates to the technical field of cardiovascular medicine, in particular to an automatic alarm system for cardiovascular medicine, which comprises a biomarker analysis module, a physiological parameter analysis module, a cardiovascular risk assessment module, a cardiovascular early warning adjustment module and an alarm trigger notification module. According to the invention, by integrating real-time monitoring of blood biomarkers and cardiovascular physiological parameters, the early recognition capability of cardiovascular disease risks is improved, key biomarkers are dynamically measured and compared with historical marker data, and subtle physiological changes can be captured at the early stage of asymptomatic conditions, so that potential cardiovascular events are warned; through correlation analysis of electrocardiogram, blood pressure and pulse waveforms, the system can accurately draw a comprehensive image of cardiovascular functions, so that more targeted monitoring and intervention are implemented, timeliness and accuracy of medical response are ensured, doctors can formulate targeted monitoring schemes according to real-time data, and the monitoring efficiency is improved. Therefore, deterioration or occurrence of cardiovascular events of patients can be effectively prevented.

The invention provides a human body biological age detection method based on DNA methylation, which comprises the following steps: step S1, aiming at at least one subject, collecting a peripheral blood sample of the subject, and extracting DNA in blood from the sample; the method comprises the following steps: S1, extracting DNA, S2, measuring a methylation map of the extracted DNA to obtain detailed information of the methylation state of the DNA, and S3, calculating a corresponding methylation rate according to the strength of a methylation signal and a non-methylation signal in the obtained methylation map; and step S4, inputting the calculated DNA methylation rate into a biological age model obtained by pre-training to obtain the biological age corresponding to the subject. The method has the beneficial effects that the biological age can be accurately predicted by acquiring methylation information of DNA data, a novel biomarker-based assessment means is provided, and the method has important application value in health management, disease risk assessment and the like.

The invention relates to the technical field of blood potassium detection, in particular to a blood potassium detection paper-based sensor and a preparation method and application thereof.The sensor is obtained by integrating a substrate, a sensing electrode and a whole blood microfluid channel, and the sensing electrode is located between the substrate and the whole blood microfluid channel; the whole blood microfluid channel comprises a serum diffusion area, a whole blood separation area positioned above the serum diffusion area and a blood potassium detection area positioned below the serum diffusion area; a blood separation membrane is also arranged in the whole blood separation area; the substrate is qualitative filter paper, and the sensing electrode comprises an all-solid-state PBA working electrode and an Ag / AgCl reference electrode; compared with the prior art, calibration is not needed when potassium ions in whole blood are detected, the whole blood sample can be directly used, centrifugal separation is not needed, the detection speed is increased, the hemolysis problem of the whole blood sample in blood potassium detection can be avoided, and the detection sensitivity, accuracy and stability are further improved.

The invention relates to a multi-parameter integration and AI fusion postpartum hemorrhage intelligent monitoring, prevention and control method and system. The method comprises the following steps: acquiring blood flow data; the blood flow data comprises blood loss volume and blood flow velocity, and the blood flow data is obtained through measurement of an optical fiber sensor; acquiring vital sign information; the vital sign information comprises blood pressure, heart rate and oxyhemoglobin saturation, and the vital sign information is obtained through continuous monitoring of a vital sign patch; according to the blood flow data, the vital sign information and the medical history information, a bleeding risk grade evaluation result is calculated in real time through an AI risk evaluation model, and the AI risk evaluation model is used for dynamically evaluating the bleeding risk; and triggering corresponding grading early warning according to the bleeding risk grade evaluation result, wherein the grading early warning is used for indicating bleeding risk processing. By adopting the method, the early warning accuracy and treatment efficiency of postpartum hemorrhage can be remarkably improved, and complications and death risks of pregnant and lying-in women are effectively reduced.

The detection method comprises the following steps: adding an oxygen-containing solution into a blood sample, adding the oxygen-containing solution into a micro-fluidic chip, irradiating the blood sample through light sources with different wavelengths, and detecting data of absorbed light to obtain concentration information and establish a model; the contribution of hemoglobin in the measurement concentration of the blood sample is obtained by analyzing the data of the absorbed light, and finally, the blood sample is detected through the model, and the hemoglobin concentration is obtained and output. Compared with the prior art, under the condition that a blood sample is not pretreated, the hemoglobin concentration can be accurately detected, and a result is obtained; the method comprises the following steps: adding an oxygen-containing solution into a blood sample; compared with the prior art, by changing the light absorption property of hemoglobin in the blood sample, the hemoglobin can be detected more easily, and the detection accuracy is improved.

The invention provides an abnormal blood sampling inspection data evaluation processing method and system of a blood sampling system. Wherein the diffusion track dynamic state of an anticoagulant-blood contact surface in a blood sampling tube is tracked in real time, dielectric response waveform distortion characteristics on the two sides are synchronously collected through a capacitance sensor array, and diffusion form parameters are generated; curvature sudden change is analyzed to trigger an acoustic fluid device to modulate audio frequency and flow velocity, and a composite disturbance field is formed; performing capacitance axial scanning on the disturbed mixed fluid, extracting phase angle offset and gradient abrupt change point coordinates, and constructing a dielectric anomaly three-dimensional map; matching a standard dielectric model, positioning a coordinate set of a concentration gradient imbalance area and a coordinate set of an eddy current attenuation area, and generating an anticoagulant abnormal index and a mixed defect matrix in combination with phase angle offset difference; and establishing a data anomaly degree evaluation function based on the anomaly index and the defect matrix, dynamically associating a clinical error threshold, and outputting a test evaluation result. According to the invention, anticoagulant diffusion can be monitored in real time, and the mixing quality error can be accurately evaluated.

The invention discloses a vertebral artery dissection risk assessment method and system, and relates to the technical field of risk assessment, and the method comprises the steps: collecting ultrasonic dynamic blood parameter data of a vertebral artery of a patient; based on the ultrasonic dynamic blood parameter data, constructing a local blood flow kinetic energy disturbance time sequence diagram by adopting a hemodynamics time sequence analysis method, and performing time sequence prediction to generate a blood flow function disturbance prediction result; dynamically adjusting a risk score threshold by adopting a reinforcement learning algorithm, combining the adjusted risk score threshold with a blood flow function disturbance prediction result, and generating a personalized vertebral artery dissection risk score according to a risk score calculation model; and generating a vertebral artery dissection risk assessment result by using a multi-modal fusion mechanism in combination with the personalized vertebral artery dissection risk score and the multi-source heterogeneous medical feature set. According to the method, the patient static characteristics and the future disturbance trend serve as input, the optimal risk score threshold value is dynamically selected, and the personalized score is generated according to the disturbance threshold exceeding proportion and time weight information.