3462 results about "Clinical diagnosis" patented technology

The present invention relates to an apparatus for conducting a variety of assays for the determination of analytes in liquid samples, and relates to the methods for such assays. In particular, the invention relates to a single-use cartridge designed to be adaptable to a variety of real-time assay protocols, preferably assays for the determination of analytes in biological samples using immunosensors or other ligand / ligand receptor-based biosensor embodiments. The cartridge provides novel features for processing a metered portion of a sample, for precise and flexible control of the movement of a sample or second fluid within the cartridge, for the amending of solutions with additional compounds during an assay, and for the construction of immunosensors capable of adaptation to diverse analyte measurements. The disclosed device and methods of use enjoy substantial benefits over the prior art, including simplicity of use by an operator, rapid in situ determinations of one or more analytes, and single-use methodology that minimizes the risk of contamination of both operator and patient. The disclosed invention is adaptable to the point-of-care clinical diagnostic field, including use in accident sites, emergency rooms, surgery, nursing homes, intensive care units, and non-medical environments.

Recombinant influenza virus proteins, including influenza capsomers, subviral particles, virus-like particles (VLP), VLP complexes, and / or any portions of thereof, are provided as a vaccine for influenza viruses. The invention is based on the combination of two vaccine technologies: (1) intrinsically safe recombinant vaccine technology, and (2) highly immunogenic, self-assembled protein macromolecules embedded in plasma membranes and comprised of multiple copies of influenza virus structural proteins exhibiting neutralizing epitopes in native conformations. More specifically, this invention relates to the design and production of functional homotypic and heterotypic recombinant influenza virus-like particles (VLPs) comprised of recombinant structural proteins of human influenza virus type A / Sydney / 5 / 94 (H3N2) and / or avian influenza virus type A / Hong Kong / 1073 / 99 (H9N2) in baculovirus-infected insect cells and their application as a vaccine in the prevention of influenza infections and as a laboratory reagent for virus structural studies and clinical diagnostics.

A maternal-fetal monitoring system for use during all stages of pregnancy, including antepartum and intrapartum stages. The maternal-fetal monitoring system of the subject invention comprises (1) a set of sensors; (2) an amplifying / filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, maternal electrocardiogram (ECG) signals, maternal uterine activity signals (EHG), maternal heart rate, fetal ECG signals, and fetal heart rate. In a preferred embodiment, the maternal-fetal monitoring system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis antepartum, intrapartum and postpartum, as well as delivery strategy.

A maternal-fetal monitoring system for use during all stages of pregnancy, including antepartum and intrapartum stages. The maternal-fetal monitoring system of the subject invention comprises (1) a set of sensors; (2) an amplifying / filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, maternal electrocardiogram (ECG) signals, maternal uterine activity signals (EHG), maternal heart rate, fetal ECG signals, and fetal heart rate. In a preferred embodiment, the maternal-fetal monitoring system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis antepartum, intrapartum and postpartum, as well as delivery strategy.

A portable virtual reality device is disclosed that will facilitate the effective and efficient screening for TBI in military personnel in forward deployed military settings or remote locations using minimally trained staff. This includes the establishment of a protocol that will provide cost effective pre-screening of military personnel prior to deployment to establish a baseline of brain function prior to possible future injury. The efficiency of the device will promote subsequent follow-up screening to assess the effectiveness of prescribed TBI treatment. Further protocols for diagnosis and rehabilitation applications using the same virtual reality portable device will allow more advanced usage for clinicians providing ongoing evaluation and treatment.

A highly sensitive assay is disclosed which utilizes a method for gene specific primed amplification of mRNA libraries from rare cells and rare transcripts found in blood. The assay allows detection of rare mRNA (10 copies / cell) found in 1 to 10 cells isolated through immunomagnetic enrichment. The assay is an improvement over multiplex PCR and allows efficient detection of rare coding sequences for circulating carcinoma cells in the blood. The methods are useful in profiling of cells isolated from tissues or body fluids and serves as an adjunct to clinical diagnosis of diverse carcinomas including early stage detection and classification of circulating tumor cells. Monitoring of nucleic acid and protein profiles of cells either in conventional or microarray formats, facilitates management of therapeutic intervention including staging, monitoring response to therapy, confirmation of remission and detection of regression.

The present invention further relates to the selection of the specific filter combinations, which can provide sufficient information for multivariate calibration to extract accurate analyte concentrations in complex biological systems. The present invention also describes wavelength interval selection methods that give rise to the miniaturized designs. Finally, this invention presents a plurality of wavelength selection methods and miniaturized spectroscopic apparatus designs and the necessary tools to map from one domain (wavelength selection) to the other (design parameters). Such selection of informative spectral bands has a broad scope in miniaturizing any clinical diagnostic instruments which employ Raman spectroscopy in particular and other spectroscopic techniques in general.

Biohazard specimen collection containers are provided with an external disposable skin, that is stripped away and discarded after the biohazardous specimen is collected, thus reducing or eliminating objectionable or dangerous residues on the outside surfaces of the container. Further, we teach that the sample collection container with external disposable skin may also serve as an integrated microfluidic biosample processing and analytical device, thereby providing a single entry, disposable assay unit, kit and system for “world-to-result” clinical diagnostic testing. These integrated assay devices are provided with synergic, multiple safe-handling features for protecting healthcare workers who handle them. The modified collection containers and analytical devices find application, for example, in PCR detection of infectious organisms or pathogenic markers collected on a swab.

The invention discloses a clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform, and relates to the technical field of an Internet medical platform. The clinical data mining analysis and aided decision-making method includes data mining analysis and aided decision-making, wherein data mining analysis includes a multidimensional analysis algorithm module, a data mining algorithm module and a deep learning algorithm module; and aided remote decision-making includes four parts: a prediction module based on index parameters, a prediction module based on inspection report texts, a model training module and a structurized module. The clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform selects several diseases as research objects for data collection and analysis, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, and collects and integrates clinical medicaldata depended the integrated platform to realize data mining analysis and aided decision-making services for clinical data diseases, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, so as to provide systematic support for clinical diagnosis of clinicians and disease research by researchers.

The invention relates to an ultrasonic imaging system for elasticity measurement. The ultrasonic imaging system comprises a probe, an ultrasonic imaging device, a controlling and processing device and a display device, wherein the probe comprises a low-frequency oscillation driving device for generating oscillation and forming a shearing wave propagating from human body surface to tissues, and an ultrasonic transducer array for sending an ultrasonic signal to the tissues and receiving an ultrasonic echo signal; the ultrasonic imaging device is used for driving the ultrasonic transducer array to send the ultrasonic signal and receive and process the ultrasonic echo signal according to loaded imaging parameters; the controlling and processing device is used for controlling the low-frequency oscillation driving device and the ultrasonic imaging device to process the ultrasonic echo signal so as to obtain a two-dimensional ultrasonic image and elasticity information of the tissues; and the display device is used for displaying the two-dimensional ultrasonic image and the elasticity information. The system and elasticity measuring method can simultaneously obtain the two-dimensional ultrasonic image and the elasticity information of the tissues, thereby improving clinical diagnosis accuracy; and the probe can realize precise positioning under the guiding of the two-dimensional ultrasonic image without considering displacement compensation, thereby improving convenience and accuracy of tissue elasticity measurement.

The present invention is directed to optical bio-discs, methods, and optical disc drives for clinical diagnostics. The present invention is further directed to methods for determining the quantity of a specific type of blood cell in a biological sample including on-disc sample preparation and processing, providing a pre-processed sample onto a capture zone, removing portions of the sample that are not bound in the capture zone, and counting bound cells. Also disclosed are fluidic circuits for processing blood samples for use in a cluster designation marker assay in the optical bio-disc.

The invention concerns an integrated, qRT-PCR-based system for analyzing and reporting RNA expression profiles of biological samples. In particular, the invention concerns a fully optimized and integrated multiplex, multi-analyte method for expression profiling of RNA in biological samples, including fixed, paraffin-embedded tissue samples. The gene expression profiles obtained can be used for the clinical diagnosis, classification and prognosis of various pathological conditions, including cancer.

Systems and methods for monitoring uterus contraction activity and progress of labor. The system of the subject invention can comprises (1) a plurality of sensors; (2) an amplifying / filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, progress of labor, prediction and monitoring of preterm labor, and intrauterine pressure prediction. In a preferred embodiment, the system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis as well as delivery strategy.

A method for a cloud-based feedback-driven image training and recognition includes receiving a set of expert annotations of a plurality of training images of a predetermined subject matter, wherein the expert annotations include a clinical diagnosis for each image or region of interest in an image, training one or more classification models from the set of expert annotations, testing the one or more classification models on a plurality of test images that are different from the training images, wherein each classification model yields a clinical diagnosis for each image and a confidence score for that diagnosis, and receiving expert classification result feedback regarding the clinical diagnosis for each image and a confidence score yielded by each classification model.

The invention discloses a tumor malignant risk stratification auxiliary diagnosis system of an artificial intelligence medical image. The system comprises a data acquisition module, a data preprocessing module, a model establishment module, a model verification and optimization module, a stratification diagnosis module and a database platform. The tumor malignant risk stratification auxiliary diagnosis system of the invention is based on artificial intelligence technology, successive stratification of the malignant risk of the tumor can be achieved, the clinical diagnosis thinking is simulated, based on the high-precision ability of detecting benign lesions and malignant tumors of artificial intelligence model, and the space-occupying lesions with definite imaging features are diagnosed automatically. As a result, the system can substantially assist the clinical management decision of space-occupying lesions, improve the existing work flow of clinical diagnosis, increase the confidenceof doctors in diagnosis, reduce the work pressure, reduce the anxiety of patients with low-risk malignant lesions, greatly improve the diagnostic rate of benign lesions and malignant tumors, and hopefully realize the landing implementation of artificial intelligence clinical auxiliary diagnosis.

The invention discloses an electrocardiogram diagnosis method and system based on a deep convolution neural network. The diagnosis method comprises the steps that a collected original electrocardiogram of the human body is preprocessed to obtain a plurality of heartbeat fragments with a preset length; the heartbeat fragments are input into a trained deep convolution neural network model, and a prediction value of each category is obtained; the category of a single heartbeat corresponding to the maximum prediction value and the time interval of the heartbeat and a previous heartbeat are recorded, and a time series is formed; on the basis of a preset mapping relation between a clinical diagnosis criterion and the time series, the time series is matched with the diagnosis criterion, and a corresponding diagnosis result is obtained. Any feature in the electrocardiogram is not required to be extracted, so that valid information loss, noise data introduction and other problems caused by manual screening and processing are avoided to the largest extent, and the influence of manual characteristic extraction on the diagnosis accuracy is reduced.

The invention provides a human mycoplasma pneumoniae gold-marked silver-stained immunochromatographic assay kit and a preparation method and application thereof. The assay kit comprises a detection card and a silver-stained sensitivity-enhanced pad, wherein the detection card is composed of a bottom plate, a sample pad, an absorbent pad, a conjugate pad and a detection layer; the conjugate pad is coated with a colloidal gold-marked polyclonal antibody mixture of colloidal gold marked rabbit anti-human mycoplasma pneumoniae P1 protein and P30 protein; the detection layer is composed of a solid phase nitrocellulose membrane with a detection line and a quality control line; the detection layer is bonded on the bottom plate, the conjugate pad and the absorbent pad are partially overlapped with the detection layer respectively and are bonded with the detection layer and the bottom plate respectively; the sample pad and the conjugate pad are partially overlapped to be bonded with the conjugate pad and the bottom plate respectively; and the silver-stained sensitivity-enhanced pad consists of a AgNO3 pad and a restoring pad. The human mycoplasma pneumoniae gold-marked silver-stained immunochromatographic assay kit can effectively improve the detection sensitivity of the human mycoplasma pneumoniae, has the strong specificity and has the high application value in the aspects of clinical diagnosis of human mycoplasma pneumoniae, etiology identification, epidemiological investigation and the like.

The invention provides a near-infrared spectrum imaging system for diagnosis of depth and area of burn skin necrosis. The near-infrared spectrum imaging system comprises a spectrum imager and a computer-control system. The spectrum imager acquires 1100-2500nm waveband spectral signals of burn skin necrosis tissue of a target area, the spectral signals are subjected to image analyzing and processing through the computer-control system, the depth and area of burn of the target area can be acquired through spectral matching recognition upon a spectral reflectance curve corresponding to each image element in spectral images and a standard spectral reflectance curve in a burn skin necrosis spectral database in a data module and are synthesized into three-dimensional image display of the target area. By the near-infrared spectrum imaging system, the spatial structure of skin changed due to tissue protein denaturation before and after the skin burn can be specified, so that micron-level information about boundaries of normal skin tissue and necrotic tissue and the depth of burn skin necrosis can be provided visually, and clinical diagnosis, treatment and prognosis judgment can be supportively facilitated.

The invention discloses a method and an automatic instrument device for enriching and extracting target cells and separating single cells by using a positive magnetic bead method and performing immunity and molecular biology identification and analysis on single cells. By the method and the instrument device, the on / off of a capture magnet and a release magnet is controlled by various methods to complete target cell searching, capturing, cleaning and releasing operation once or for multiple times, so that the target cell detection sensitivity and stability are improved. When the capture magnet searches and captures the target cells, the search line is circular, square, comb-shaped, S-shaped or U-shaped. In addition, the captured substances are filtered, most free micro magnetic beads are removed, the purity of the product is further improved and the product can be used as a good experimental material. By combining a special filter and the adsorption of the capture magnet, more than 95 percent of free micro magnetic beads can be effectively removed. Meanwhile, the types of the single cells are identified and biological characteristics of the single cells are analyzed by an immunofluorescence staining method and a method in molecular biology, and effective biological indexes are provided for clinical diagnosis and treatment of cancers.

A process and a system for assisting a clinician in identification and evaluation of perfusion characteristics of an organ are disclosed. The process and system may be used to extend clinical diagnosis capabilities by augmenting the ability to analyze perfusion images acquired from a radiology imaging modality through the use of the quantification technology as described. Classification of perfusion characteristics of a region of interest is facilitated through the use of a quantitative spatial perfusion characteristics map. The map is generated by a computing device which applies at least one physics-based image processing technique. This map is displayed on a clinician device for review by the clinician to assist in the spatial identification of perfusion abnormalities.

The invention belongs to the technical field of computer-aided diagnosis, and specifically relates to a brain glioma molecular marker nondestructive prediction method and a prediction system based on radiomics. The method comprises the following steps: adopting a three-dimensional magnetic resonance image automatic segmentation method based on a convolution neural network; registering a tumor obtained from segmentation to a standard brain atlas, and acquiring 116 position features of tumor distribution; getting 21 gray features, 15 shape features and 39 texture features through calculation; carrying out three-dimensional wavelet decomposition on the gray features and the texture features to get 480 wavelet features of eight sub-bands; acquiring 671 high-throughput features from the three-dimensional T2-Flair magnetic resonance image of each case; using a feature screening strategy combining p-value screening and a genetic algorithm to get 110 features highly associated with IDH1; and using a support vector machine and an AdaBoost classifier to get a classification of which the IDH1 prediction accuracy is 80%. As a novel method of radiomics, the method provides a nondestructive prediction scheme of important molecular markers for clinical diagnosis of gliomas.

The present invention relates to methods for the labeling of nucleic acid polymers in vitro and in vivo. Certain methods are provided that include a [3+2] cycloaddition between a nucleotide analogue incorporated into a nucleic acid polymer and a reagent attached to a label. Other methods are provided that include a Staudinger ligation between a nucleotide analogue incorporated into a nucleic acid polymer and a reagent comprising a substituted triarylphosphine attached to a label. Such methods do not require fixation and denaturation and therefore can be applied to the labeling of nucleic acid polymers in living cells and in organisms. Also provided are methods for measuring cellular proliferation. In these methods, the amount of label incorporated into the DNA is measured as an indication of cellular proliferation. The methods of the invention can be used in a wide variety of applications including clinical diagnosis of diseases and disorders in which cellular proliferation is involved, toxicity assays, and as a tool for the study of chromosomes' ultrastructures.

The invention relates to biology applied technology field, especially relates to a immune chromatography assay for quickly detecting the human immunologic deficiency disease (HIV) antibody and antigen. The assay comprises two independent test papers A and B and plastic case C for storing the test paper, wherein the test paper A is used for detecting the HIV antibody and the test paper B is used for detecting the HIV p24 antigen. The test paper A and test paper B are parallely encased in the plastic case to constitute the assay. On detecting, the detected sample is added on the sample pad of the test paler and the immunoreaction result is directly observed to perform detection. The assay is used for screening or clinical diagnosis of the HIV infection and at the same time the HIV antigen and antibody are detected, the simpler antibody detection can effectively reduce the window phase for detecting the HIV, with features of quick reaction, easy operation, economy and practicality, suitable for insitu detecting.

The invention relates to a multi-resolution medical image registration method based on the quantum-behaved particle swarm optimization, which is characterized in that the method comprises the following step of: firstly removing the backgrounds of the two images to be registered to keep the images off the interference of noise; next obtaining the images with low resolution from the two background-removed images via the wavelet transform, using the low resolution to be the object, taking the normalized mutual information as the objective function, using the quantum-behaved particle swarm optimization, then the images with the high resolution to be the object, and obtaining the rotation amount and the translation amount between the two images to be registered to finish the image registration by using the Powell method. With solving a plurality of local extrema based on the objective function of the mutual information, the invention greatly improves the registration precision and speed, reaching up to the sub-pixel level; and is widely applicable to the fields of the image discrimination of the clinical diagnosis, the framing of the radiation treatment, the image guided surgical, etc.