351 results about "Hemoglobin H" patented technology

The invention discloses a hemoglobin-resistant Taq DNA polymerase mutant and a construction method thereof, and relates to the field of biology, and the hemoglobin-resistant Taq DNA polymerase mutant is characterized in that a nucleotide sequence for coding the Taq DNA polymerase is shown as SEQ ID NO.1, and the mutant comprises at least one mutation or all mutations selected from S623D and E721A sites. On the basis of natural Taq DNA polymerase, the molecular structure of the Taq DNA polymerase is modified through rational design and combination with a site-specific mutagenesis biotechnology, so that the Taq DNA polymerase mutant is more suitable for PCR amplification of samples containing hemoglobin and the like than a wild type, and the result judgment accuracy of a sample containing a hemoglobin inhibitor is more facilitated.

The invention discloses an abdominal aortic aneurysm progress prediction method and system based on cross-modal knowledge distillation. The method comprises the following steps: collecting blood of a target object; the method comprises the following steps: detecting the concentration of blood protein fingerprint markers of blood of a target object, wherein the blood protein fingerprint markers comprise matrix metalloproteinase-12, calcitonin-related polypeptide-alpha, uromodulin, nerve injury induction protein-1, glycosylated hemoglobin A1c and fibroblast growth factor-9; carrying out abdominal aortic aneurysm risk calculation by calling Student-net of cross-modal knowledge distillation based on the blood protein fingerprint marker concentration; wherein the input of the Teaser-net of the cross-modal knowledge distillation comprises a CTA image feature and a pathological section feature, and a category probability vector output by the Student-net is aligned with a category probability vector output by the Teaser-net; and outputting the risk level of the abdominal aortic aneurysm and the probability of occurrence / progress / rupture of the abdominal aortic aneurysm in the preset year. And the development of the aortic aneurysm disease is accurately predicted.

The invention discloses a diabetic complication monitoring auxiliary system and method in the technical field of complication monitoring, and the system comprises a data collection module which is used for obtaining local multi-modal data of a user in real time; the federal learning module is used for integrating the local multi-modal data of the user with other anonymous medical databases through a distributed architecture and constructing a multi-family cross-institution complication prediction model; the causal reasoning module is used for analyzing the causal relationship among the blood glucose fluctuation, the glycosylated hemoglobin and the target complication based on an anti-factual causal reasoning algorithm, and outputting a causal effect value to correct the prediction deviation; the prediction module is used for generating occurrence probabilities of future specific complications based on the causal effect values and risk scores output by the complication prediction model, and classifying the occurrence probabilities according to risk levels; and the early warning module is used for generating personalized intervention suggestions according to the risk levels. According to the scheme, the data leakage risk in the data acquisition process is reduced through the federal learning distributed architecture, and the prediction reliability is improved.

The invention relates to the technical field of peritoneal drainage, in particular to a peritoneal drainage system based on hemoglobin real-time monitoring and intelligent early warning. According to the technical scheme, the device comprises an abdominal cavity drainage tube, an optical sensing module, a microprocessor module and a wireless communication module, wherein the microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and triggering early warning according to a preset multi-level alarm condition. The hemoglobin concentration in the peritoneal drainage liquid is accurately monitored in real time, intelligent early warning and a personalized response mechanism are combined, the limitation of traditional manual observation is broken through, the timeliness and accuracy of bleeding risk identification are remarkably improved, the infection risk is reduced through the closed design, the medical care working process is optimized through the system integration capacity, and the medical care efficiency is improved. Data sharing and remote cooperation are achieved, intervention time windows are shortened, patient prognosis is improved, nursing resources can be released, medical quality is improved, and a comprehensive and efficient solution is provided for postoperative monitoring.

The invention relates to the technical field of beauty instrument control methods, in particular to a beauty instrument control method and system. According to the method, skin optical characteristics, biological impedance parameters and environmental parameters are acquired through multi-dimensional data acquisition, and a characteristic data set containing hemoglobin concentration, moisture content, real part of electrical impedance and environmental temperature is generated after preprocessing. Based on the data set, a multi-engine prediction model is adopted to analyze the skin state change trend, and predicted values of the moisture demand, the temperature sensitivity, the barrier function and the microcirculation state are generated. Then, optimization instructions of radio frequency energy, a phototherapy mode, micro-current parameters and temperature control are calculated respectively according to prediction results, and safety and coordination of parameter adjustment are ensured through cooperative verification. According to the invention, through dual-time scale prediction and multi-parameter collaborative optimization, the problem of nursing effect lag caused by environment change and skin state fluctuation of a traditional beauty instrument is solved, and the nursing precision and stability are significantly improved.

The present disclosure relates to compositions and methods of increasing levels of fetal hemoglobin (HbF) in cells. The present disclosure further relates to methods for treating patients suffering from blood cell diseases, including those associated with reduced amounts of functional adult hemoglobin (HbA), such as sickle cell disease and β-thalassemias

The invention discloses a neonatal jaundice health management system based on big data, and belongs to the technical field of jaundice health management, and the system specifically comprises the steps: collecting the transdermal jaundice measurement value, hemoglobin concentration, day age and weight data of a neonate through a data collection module; an individualized drift index is calculated based on the hemoglobin concentration and the day age data through a physiological parameter calibration module; inputting the transdermal jaundice measurement numerical value and the individualized drift index into a dynamic correction model through a dynamic prediction analysis module to generate a serum bilirubin prediction numerical value; a time sequence data processing module is used for smoothing the predicted numerical value and calculating the variable quantity of adjacent time points; constructing trend indexes and generating serum bilirubin change trend data through a trend analysis and detection module; and finally, generating a health management scheme based on the threshold level and the trend change point through an intelligent decision module. According to the invention, effective assessment and personalized management of the neonatal jaundice risk are realized.

The disclosure features systems and methods for correcting a mutation in the human beta-globin (HBB) gene in a cell or population of cells. The disclosure also features methods of increasing repair of a DNA double stranded break (DSB) in an HBB gene by the homology-directed repair (HDR) pathway. The disclosure also features compositions for use in the methods.

The invention discloses an fNIRS adaptive feedback emotion cognition cooperative training device and method, and relates to the technical field of emotion disorder cognition training. The device comprises a data acquisition module used for acquiring an original dual-wavelength light intensity signal from a brain; the data processing module is used for performing multi-stage preprocessing on the original dual-wavelength light intensity signal; the neural feedback module is used for calculating a multi-dimensional evaluation index according to the hemoglobin concentration data and adjusting a difficulty level and a feedback threshold value of a training task by using a dynamic threshold value control algorithm; the training module is used for training participants based on the emotion stimulation task and the cognitive training task; and the evaluation module is used for performing training evaluation according to the comparison result of the comprehensive performance score and the feedback threshold. Brain function equipment is closely combined with cognitive training and emotion stimulation tasks, dynamic evaluation and real-time feedback are added for traditional tasks, and through the brain network analysis technology, accurate evaluation of the user training effect is achieved.

The invention provides a handheld photoacoustic multi-mode vascular puncture and tissue damage diagnosis system and device, and belongs to the technical field of photoacoustic imaging. According to the handheld multispectral photoacoustic imaging device, elastic force feedback and blood vessel real-time development are integrated, and the puncture success rate is increased by 30%; by virtue of hemoglobin / collagen double-index imaging, the stress injury can be pre-warned 72 hours in advance; the 3D hematoma volume automatically calculates an error lt; and repeated puncture and missed diagnosis are remarkably reduced. The invention provides a quantitative evaluation and real-time navigation integrated scheme for vascular puncture and tissue damage, and is safe and efficient.

The invention relates to the technical field of medical informatics, in particular to an AI-based intelligent early warning system for hyperuricemia male reproductive metabolism abnormality. The system comprises a memory and a processor, and the processor executes a computer program stored in the memory to realize the following steps: acquiring uric acid data, waistline data, glycosylated hemoglobin data and reproductive index data of a target male; combining the uric acid fluctuation abnormality degree, the multi-dimensional blood glucose abnormality expression degree and the movement rule expression degree of each stage to obtain the reproduction metabolism abnormality degree; according to the relative relationship between the reproductive index data and the corresponding standard range, obtaining the abnormal performance degree of the reproductive index; integrating the reproductive metabolism abnormality degree and the reproductive index abnormality expression degree to obtain a multi-dimensional feature linkage reproductive metabolism expression comprehensive evaluation degree of the target male; and according to the comprehensive evaluation degree of the multi-dimensional feature linkage reproductive metabolism performance, whether early warning is carried out is judged. According to the invention, the accuracy and credibility of intelligent early warning of the risk of abnormal male reproductive metabolism of hyperuricemia are improved.

A method of treating a human subject which is effected by intermittent inhalation of gaseous nitric oxide at a concentration of at least 160 ppm is disclosed. The method can be utilized for treating a human subject suffering from, or prone to suffer from, a disease or disorder that is manifested in the respiratory tract, or from a disease or disorder that can be treated via the respiratory tract. The disclosed method can be effected while monitoring one or more of on-site and off-site parameters such as vital signs, methemoglobin levels, pulmonary function parameters, blood chemistry and hematological parameters, blood coagulation parameters, inflammatory marker levels, liver and kidney function parameters and vascular endothelial activation parameters, such that no substantial deviation from a baseline in seen in one or more of the monitored parameters.

The invention provides a recognition and early warning method and device for irritable hyperglycemia, electronic equipment and a storage medium, and is applied to the technical field of medical data processing. According to the method, data type information (including FreeStyle LibreH dynamic blood glucose and glycosylated hemoglobin data), influence factor data (improved and preset irritable hyperglycemia index and the like) and abnormal state information (fasting interference and detection difference) are taken; acute-stage and chronic-stage average blood glucose basic data are generated through preprocessing. The index weight is enhanced and improved by means of a dynamic fusion engine, the probability is predicted by combining space-time correlation analysis and binary logistic regression, and the abnormal characteristics are obtained by comparing the difference of the AUC by adopting Delog test. The multi-modal features are processed to obtain an identification result, clinical indexes screened by LASSO are fused, index differences are compared to generate risk influence factors, finally, a dynamic early warning result is generated based on a space-time correlation early warning engine and a multi-target strategy, and accurate identification and early warning are achieved.

The invention discloses a method for detecting a fatigue state based on a multi-modal data fusion technology, and the method comprises the following steps: S1, collecting multi-modal training data through a sleep deprivation experiment, and carrying out the training of a model. Comprising fNIRS, ECG, PPG, GSP and Resp, hemoglobin concentration data, obtained through a fNIRS headband, of the forehead lobe of the brain is obviously related to fatigue, data of electrocardio, pulse waves, skin electricity and respiratory waves are obtained through an electrocardio sensor (pectoral girdle), a PPG bracelet, a GSR ring and a respiratory wave (Resp) sensor (waistband), the data collected by different devices are objective, the defects of psychological experiment methods are effectively overcome, and the psychological experiment accuracy is improved. And different modalities can provide complementary information, and even capture the features of the target from multiple angles.

The invention relates to the technical field of intelligent medical adjuvant therapy, in particular to a depression targeted nerve regulation method and system based on fNI RS dynamic brain entropy, and aims to overcome the defects that an existing nerve regulation method is fixed in stimulation parameter, lacks real-time feedback, depends on subjective evaluation and the like. According to the method, a multichannel near infrared spectrum optical brain imaging device is adopted to collect a time sequence signal of prefrontal lobe resting hemoglobin; calculating the time sequence signal of the prefrontal lobe static hemoglobin to obtain a static entropy feature and a dynamic entropy feature; calculating a brain entropy ratio according to the static entropy feature and the dynamic entropy feature; and matching the brain entropy ratio with a preset brain entropy threshold value, and adjusting nerve regulation and control stimulation parameters according to the corresponding brain entropy threshold value. Through the brain entropy real-time feedback closed-loop TMS regulation and control technology, the quantitative relation between the brain entropy and the stimulation parameters is established, and a stimulation parameter dynamic adjustment method is provided for the nerve regulation and control technology.

An electronic device comprises a housing configured to contact a user's skin, an optical transmitter array, an optical receiver, a memory element and a processing element. The optical transmitter array outputs a plurality of optical signals that pass through the user's skin, each of the plurality of optical signals having one of three wavelengths. The optical receiver receives the optical signals and generates corresponding photoplethysmogram (PPG) signals. The memory element stores absorption constants for deoxyhemoglobin blood content, oxyhemoglobin blood content and glycated hemoglobin blood content, each absorption constant associated with one of the first wavelength, the second wavelength or the third wavelength. The processing element determines a glycated hemoglobin blood level for the user based on a ratio of a determined glycated hemoglobin blood content to a sum of determined deoxyhemoglobin blood content, a determined oxyhemoglobin blood content and a determined glycated hemoglobin blood content.

The invention relates to the technical field of medical monitoring equipment, in particular to an intelligent drainage monitoring system and method after a hepatotomy based on multi-modal sensing, and the system comprises a sensing data collection module, a signal processing module, a data fusion analysis module and an abnormity recognition early warning module. The sensing data acquisition module comprehensively acquires pressure, component and diffusion state data of drainage liquid by utilizing an optical fiber pressure sensor array, a micro spectral analysis device and a biological impedance sensor, the signal processing module converts sensing data into digital signals, and the data fusion analysis module performs fusion analysis on the drainage liquid based on the signals. According to the system, the content of bilirubin and hemoglobin in drainage liquid and the diffusion state of the bilirubin and hemoglobin in the abdominal cavity are recognized and comprehensively analyzed, the abnormity recognition and early warning module compares an analysis result with a preset normal index, the abnormal condition is determined, an early warning signal is generated, the intelligence and accuracy of drainage management are effectively improved, and the working efficiency is improved. Postoperative complications can be reduced, and the rehabilitation quality of a patient can be improved.

The invention provides a plateau hypoxic encephaledema early warning system, which comprises a first acquisition module configured to emit ultrasonic waves to at least two tangent planes of a first area to obtain an ultrasonic image reflected after being transmitted by an eyeball, and determining the diameter of an optic nerve sheath after first preprocessing; the second acquisition module is configured to emit a near-infrared signal source to a second area to obtain a spectral image reflected after transcranial transmission, and absorption spectrums of oxyhemoglobin and deoxidized hemoglobin are obtained after second preprocessing; the data processing module is configured to obtain the optic nerve sheath diameter and the absorption spectrum and determine a first influence factor and a second influence factor about the optic nerve sheath diameter and the absorption spectrum; and the early warning module is configured to give an alarm if the first influence factor and the second influence factor exceed a preset threshold value under a first preset condition. Early warning and monitoring of encephaledema are achieved through multi-mode monitoring.

The invention discloses an AI intelligent multi-terminal adaptive non-invasive hemoglobin detector and a detection method, and the detector comprises a configuration module which is used for transmitting combined light with a specific wavelength to penetrate a fingernail bed of a user when the fingertip of the user is placed in an accommodation cavity; the image acquisition module is integrated in the intelligent terminal and is used for shooting a multiband image reflected by a fingernail bed when the fingertip of the user is placed in the accommodating cavity; the transmission module is used for transmitting the multiband image to the processing module; and the processing module is internally provided with a deep learning spectral feature regression model and is used for extracting features related to the hemoglobin concentration from the multiband image, carrying out regression calculation and outputting a quantitative hemoglobin concentration value. Optical signals carry complete concentration related information after penetrating through the fingernail bed, so that the detection precision is improved; image acquisition is integrated on an intelligent terminal commonly used by a user, the use threshold is reduced through multi-terminal adaptation, the accuracy of data feature extraction is improved based on a deep learning spectral feature regression model, and then the accuracy of a detection result is improved.

The invention discloses a non-contact blood spectral imaging blood pressure monitoring system and method, and relates to the technical field of blood pressure monitoring, the non-contact blood spectral imaging blood pressure monitoring system comprises the steps of capturing reflection spectrum fluctuation of a key detection area of a human face, performing signal processing on the reflection spectrum fluctuation, extracting blood flow information, extracting hemoglobin optical response characteristics and hemodynamic conduction characteristics, and determining the blood pressure of the human face. A multi-modal feature fusion network is constructed, comprehensive feature representation is formed, a blood pressure mapping model is established based on the comprehensive feature representation, the blood pressure mapping model comprises a static blood pressure estimation sub-model and an ambulatory blood pressure change prediction sub-model, and a basic blood pressure value is calculated through the static blood pressure estimation sub-model. Calculating a blood pressure fluctuation value through the dynamic blood pressure change prediction sub-model, and combining the basic blood pressure value with the blood pressure fluctuation value to generate a final blood pressure monitoring result; and non-contact, continuous and accurate blood pressure monitoring is realized.

A genetically modified yeast cell, wherein the yeast cell comprises a genetic modification comprising overexpression of yeast gene encoding porphobilinogen deaminase (HEM3), the HEM3 gene having at least 80% identity with SEQ ID No. 7. The genome of the modified yeast cell further comprises one or more genetic modifications in one or more genes selected from: genes coding for heme-dependent repressor of hypoxic genes (ROX1), genes coding for heme oxygenase (HMX1), genes coding for a receptor for vacuolar proteases (VPS10), and genes coding for vacuolar proteinase (PEP4), the one or more genetic modifications being such that expression of a polypeptide from such a gene is reduced or disrupted or the polypeptide expressed is non-functional.

Disclosed herein are systems, methods, computer-readable media, and techniques for determining health indicators from images taken using a non-augmented mobile device. Methods are presented for processing images comprising the lower eyelid portion of an eye and determining levels of said health indicators using one or more machine learning algorithms. One such health indicator is hemoglobin, the level of which can be used to determine at least indications of general health or presence of an anemia condition in a subject.

The present invention concerns the use of a molecule chosen from a globin, a globin protomer or an extracellular hemoglobin of Annelids, for treating and / or preventing at least one complement-activation associated disease, preferably ischemia / reperfusion injury and / or transplant rejection.

To provide genome editing systems, reagents and methods for treatment of hemoglobinopathies.SOLUTION: Genome editing systems are provided, comprising: a gRNA molecule comprising a targeting domain that is complementary with a target sequence of a BCL11A gene, a BCL11a enhancer, or a HFPH region; and a Cas9 molecule.SELECTED DRAWING: None

The application discloses a hemolysis analyzer based on an integrated optical waveguide sensor and a preparation method thereof, and comprises an integrated photon waveguide, a nano filter and a micro-fluidic channel, wherein the integrated photon waveguide is a single waveguide with a middle spiral type and coupling gratings on both sides. The hemolysis analyzer fully utilizes the advantages of high sensitivity and small volume of the integrated optical waveguide sensor, and realizes sample-free preparation by combining the methods of instantaneous absorption and hemoglobin filtration, and can quickly and accurately detect hemolysis and the degree of hemolysis.

The present disclosure relates to an orthogonal system comprising a first bi-specific polypeptide that comprises D-streptavidin or a variant thereof covalently linked to an antibody or antibody fragment and a second bi-specific polypeptide that comprises L-biotin covalently linked to a therapeutic or diagnostic agent. The disclosed systems can be useful in, for example, treating a disease or a condition (e.g., cancer, non-Hodgkin lymphoma, multiple sclerosis, Crohn's disease, rheumatoid arthritis, asthma, macular degeneration, psoriasis, Hodgkin lymphoma, paroxysmal nocturnal hemoglobinuria, X-linked hypophosphatemia). Also described are peptides and polypeptides useful in preparing the disclosed bi-specific polypeptides and methods of making same. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

The present disclosure describes anti-inflammatory properties of red blood cell extracellular vesicles, e.g., as mediated by heme, hemoglobin and / or phosphatidylserine content. The present disclosure describes technologies useful for the treatment of inflammatory diseases, disorders, or conditions (e.g., atherosclerosis).

The application discloses a kind of intraoperative real-time navigation and force feedback system based on single-hole laparoscope, it is related to intelligent surgical navigation technical field, to solve the current in single-hole laparoscopic liver cancer resection, when liver parenchyma is disconnected, it is easy to damage intrahepatic vessel and cause active bleeding or diffuse bleeding, and the existing hemostasis method is difficult to consider effective hemostasis and avoid damage key structure, leading to the technical problem of high surgical risk, including multimodal perception module, intelligent processing and control module, augmented reality navigation module, and adaptive force feedback execution module.The application realizes the accurate distinction of diffuse bleeding of liver parenchyma and active bleeding of intrahepatic blood vessel by designing bleeding type adaptive determination algorithm based on multi-feature coupling, calculates the multi-dimensional characteristics such as hemoglobin concentration change rate, flow rate and uniformity by optical analysis of fluid perception unit in real time, and carries out intelligent identification by using adaptive determination algorithm trained by clinical data.

Disclosed herein is the use of a HIF-1α inhibitor for preventing, delaying or treating diabetes mellitus in a subject. The subject is susceptible to, or has diabetes mellitus and has elevated non-fasting blood glucose, and / or elevated fasting blood glucose, and / or impaired glucose tolerance and / or elevated hemoglobin A1c levels. In particular, the present disclosure relates to the use of a HIF-1α inhibitor, wherein the HIF-1α inhibitor is administered to the subject, thereby maintaining or providing increased non-fasting plasma insulin levels in said subject.

A method comprising the steps of: (a) assessing an expression level of at least one protein, selected from the list consisting of: hemoglobin subunit beta and inter-alpha-trypsin inhibitor light chain, in a sample from a subject, and (b) using the expression level to determine whether the subject has endometriosis.