3439 results about "Clinical diagnosis" patented technology

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.

The invention discloses a deep convolutional neural network-based lung cancer preventing self-service health cloud service system. The system comprises a convolutional neural network used for deep learning and training identification, a segmentation module which segments out a lung region from a CT image based on a full convolutional neural network, a deep convolutional neural network used for lung cancer diagnosis classification, and a self-service health cloud service platform used for performing early prevention and treatment according to an identified suspected lung cancer type. According to the system, the automation and intelligentization level of mobile internet-based lung cancer screening can be effectively improved, more citizens can know and participate in self-service health detection, assessment and guidance, the sensitivity, specificity and accuracy of early lung cancer screening and clinical diagnosis are improved, the lung cancer can be early discovered, early diagnosed and early treated, and the self-health management capability is enhanced.

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.

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 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.

Disclosed are nanostructured gold films which may be produced by solution-phase depositions of gold ions onto a variety of surfaces. The resulting plasmonic gold films are used for enhanced spectroscopic-based immunoassays in multiplexed microarray format with detection mechanisms based on either surface-enhanced Raman scattering or near-infrared fluorescence enhancement. The preparation of the films and subsequent modifications of the gold film surfaces afford increased sensitivity for various microarrays. The films are discontinuous, forming gold “islands.” Sensitivity, size, shape, and density of the nanoscopic gold islands comprising the discontinuous nanostructured gold film are controlled to enhance the intensity of Raman scattering and fluorescence in the near-infrared, allowing for improved measurements in clinical diagnostic or biomedical research applications.

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 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.

The invention discloses a construction method and a construction system for a clinical diagnosis model, and a clinical diagnosis system, and relates to the technical field of medical treatment. The construction method for a clinical diagnosis model comprises: step S1, acquiring data, data acquisition sources being a plurality of electronic medical records; step S2, processing the acquired data; step S3, according to known typical medical history in the processed data, establishing a case analysis model, and training and evaluating the case analysis model; step S4, applying the trained and evaluated model in the clinical diagnosis system, to form a the clinical diagnosis model. The method and the systems are used to improve accuracy for a doctor to diagnose diseases.

The invention provides an automatic operating stool tester. The tester is used for carrying out automatic smear and microscopy on the stool and other human secretions and selectively preserving the image-text data. The tester is characterized in that a power-driven three-dimensional Cartesian coordinate manipulator is formed by X, Y and Z axes; an operating bottom plate is provided with an automatic sample injection slider device; an operating disk spindle core rod is movably connected with the operating bottom plate; an automatic slide adding device is fixed on a rack; a microscope is installed in the front of the rack; and an automatic slide push-out device is fixed on the microscope. The tester can automatically open the stool sample box, automatically put the slide in the box, automatically feel about the image via the liquid crystal display, move the slide for microscopy through numerical control, automatically print the locked image, automatically close the stool box, automatically recycle the waste articles, automatically carry out ultraviolet disinfection, completely prevent the operators from closely contacting the stool, greatly improve the sensory organ comfort in the testing process, greatly enhance the operation safety and repeatability, introduce the test report with images and texts to the stool routine and provide most direct basis for clinical diagnosis.