79 results about "Pulmonary disease" patented technology

The invention discloses a multi-modal-based medical algorithm model construction system, which comprises a multi-modal data acquisition and preprocessing module for collecting data related to infectious lung diseases from multiple data sources, a multi-modal feature extraction module for carrying out deep feature extraction on different modal data, a multi-modal fusion module for carrying out multi-modal fusion on the multi-modal data, and a multi-modal feature extraction module for carrying out multi-modal fusion on the multi-modal data. A self-attention mechanism is adopted to integrate different modal features including images, texts, structuralization, time sequences and associated features extracted by a large language model, a multi-task learning and decision module constructs a multi-task learning framework, and two core tasks of infectious lung disease risk prediction and decision support based on the prediction are executed in parallel. According to the multi-modal-based medical algorithm model construction system, by integrating outpatient service and emergency treatment multi-time-point data and chest radiography imaging data, the death rate of infectious lung disease patients, the ICU admission rate and the breathing machine requirement are predicted in advance, and key decision nodes are preposed.

The invention discloses a clinical performance verification system based on an infectious lung disease diagnosis model, and relates to the technical field of medical field, and the clinical performance verification system comprises a data collection module which is used for collecting and processing data by adopting a standardization process according to data types of different dimensions, and carrying out cleaning and standardization processing on all multi-modal data, the system has the advantages that in the aspect of data collection, multi-dimensional data such as patient baseline information, laboratory detection and iconography are covered, standardization processing is carried out on all kinds of data, and the data collection efficiency is improved. For example, laboratory detection data are uniformly converted into international standard units, iconography data are stored in a DICOM format, metadata are added, data quality is ensured, the model evaluation module adopts a multi-modal fusion technology, image, text, structured data and other data are fused, and model problems can be found and optimized in time.

The invention discloses a pulmonary nodule image enhancement and restoration method based on deep learning, and relates to the technical field of medical image processing, and the method comprises the following steps: S1, image preprocessing: employing a self-adaptive image normalization method; according to the method provided by the invention, in an image preprocessing stage, adaptive normalization and generative adversarial network denoising can be realized, the image contrast can be effectively improved, the noise can be accurately removed, high-quality data, multi-scale feature fusion and an attention mechanism can be provided for subsequent processing, pulmonary nodule features can be comprehensively and accurately extracted, the detection and classification precision can be improved, and the method is suitable for popularization and application. The recurrent neural network is used for image restoration, fuzzy distortion areas can be successfully reconstructed, image details can be restored, through model training and optimization strategies, adaptability and overall performance of the model to pulmonary nodule images can be improved, training time and data dependence are reduced, powerful technical support is provided for early diagnosis of lung diseases, and the method is suitable for popularization and application. And improvement of medical level is facilitated.

Aspects of the disclosure relate to compositions and methods for base editing using viral vectors. In some aspects, the disclosure provides an adenine base editor (ABE) utilizing an evolved Cas9 nickase derived from Neisseria meningitidis; and adeno-associated viruses (AAVs) comprising (or encoding) such adenine base editors. In some aspects, compositions described herein are useful for treatment of certain diseases, for example pulmonary diseases.

The present disclosure relates to the treatment of interleukin 33 (IL-33) mediated diseases, including lung diseases. In particular, the present disclosure relates to IL-33 binding proteins, including anti-IL-33 antibodies, and their uses in the treatment of IL-33 mediated diseases.

Systems and methods for assessing cardiovascular disease of a patient are provided. Patient data of the patient is received. The patient data may include one or more input medical images of a chest of the patient, results of an assessment of a lung disease performed based on the one or more input medical images, demographic and clinical data of the patient, and cardiovascular imaging exams of the patient. One or more risk scores are computed for the patient based on the patient data using a trained machine learning based network.

Provided herein are methods for diagnosing and treating a pulmonary disease, e.g., bronchopulmonary dysplasia (BPD) using proteomics analysis.

The application discloses a medical data processing method and product based on multi-stage transfer learning and multi-modal data collaborative fusion, relates to the technical field of medical data processing and artificial intelligence, and adopts MedicalNet medical special pre-training weights to initialize a classification model backbone network; a three-stage progressive fine-tuning framework is constructed on the basis, field adaptive coarse classification fine-tuning and target task fine classification are performed, and clinical structured data is introduced in the third stage; after high-dimensional image features are reduced in dimension and low-dimensional clinical features are increased in dimension through an adaptive multi-branch multi-level MLP architecture, mid-term deep fusion is performed, the application can effectively mine the complex relationships such as complementation, correlation and cooperation of multi-modal heterogeneous data, improve the lung disease classification precision and model generalization capability, and significantly inhibit the small sample overfitting phenomenon.

A deep learning system that detects and counts A-lines in lung images obtained with the VSI protocol, allowing untrained personnel to perform scans. By segmenting and counting A-lines, the system distinguishes between healthy lungs and conditions such as pneumonia or edema, without a specialist intervention. The Attention U-Net architecture improves accuracy, and A-line counting provides quantitative data for diagnostics. This approach aims to expand access to diagnostics, specially in resource-limited areas, offering a scalable solution for early detection of lung disease.

This invention relates to catheter and handle assemblies for tissue treatment. More specifically, the invention relates to a catheter assembly having an elongated shaft, an ablation component coupled to one end of the shaft, and a handle coupled to the other end of the shaft. The handle facilitates axial and circumferential positioning of the ablation component via the shaft in an airway, tubing, or blood vessel for tissue treatment. Embodiments include using the handle during treatment of lung diseases such as COPD and asthma to facilitate axial and circumferential positioning of the shaft and ablation component through and independently of the working channel of a bronchoscope.

The present invention relates to the field of therapies against cardiovascular diseases. In particular, the invention provides inhibitory oligonucleotides capable of selectively binding to specific target nucleic acid sequences within the mRNA encoding ADAMTS7. The inhibitory oligonucleotides may be RNA molecules capable of inducing RNAi, such as siRNAs or shRNA, or antisense oligonucleotides. In further aspects, the invention relates to different compositions providing these oligonucleotides. These compositions may either comprise the in vitro-produced inhibitory oligonucleotides or they may comprise a delivery vehicle, e.g., a viral vector, configured to express the inhibitory oligonucleotides in situ. The invention further provides an implantable medical device, such as, e.g., a stent or a balloon catheter, that comprises and can release the inhibitory oligonucleotides or compositions of the invention. The different inhibitory oligonucleotides, compositions and medical devices can be used for treating different cardiovascular diseases and disorders as well as inflammatory or pulmonary diseases.

To provide a pharmaceutical composition for treating lung inflammation in a mammalian subject having a granulomatous pulmonary disease.SOLUTION: A pharmaceutical composition comprising a pharmaceutically acceptable carrier and a GHRH antagonist.SELECTED DRAWING: None

An electronic device and method for chronic pulmonary disease prediction from audio input based on short-winded breath determination using artificial intelligence is disclosed. The electronic device receives an audio input associated with a user. The electronic device applies an Artificial Intelligence (AI) model to determine a first set of inhale-exhale pause samples. The electronic device selects an inhale-exhale pause sample from the first set of inhale-exhale pause samples. The electronic device applies a generative adversarial network (GAN) model on the selected inhale-exhale pause sample. The electronic device generates a flow volume curve associated with the selected inhale-exhale pause sample based on the application of the GAN model. The electronic device determines one or more voice spirometer parameters based on the generated flow volume curve. The electronic device renders the determined one or more voice spirometer parameters on a display device associated with the electronic device.

The present invention provides a lung bronchiole-microenvironment-mimetic biological tissue chip as a platform for testing the inhalation of chemical harmful substance, respiratory toxicity, and pulmonary disease drug efficacy.

The invention relates to the technical field of traditional Chinese medicines, in particular to a traditional Chinese medicine composition for treating lung diseases and a preparation method and application thereof. The traditional Chinese medicine composition comprises the following raw materials: codonopsis pilosula, astragalus membranaceus, white mulberry root-bark, oyster, salvia miltiorrhiza, houttuynia cordata, loofah sponge, angelica sinensis, ligusticum wallichii, peach kernel, lumbricus, radix stephaniae tetrandrae, radix peucedani, radix stemonae, spina gleditsiae, radix curcumae and acanthopanax. Based on the'lung-intestinal axis' theory, by tonifying qi and lung, clearing heat and eliminating phlegm, promoting blood circulation and dredging collaterals, relieving cough and asthma and remodeling intestinal flora of a patient, the level of inflammatory factors is reduced, and the risk of acute exacerbation is reduced. Clinical application shows that the traditional Chinese medicine composition can effectively improve the clinical symptoms of patients, reduce the levels of IL-1beta, IL-6 and TNF-alpha and regulate the intestinal flora structure, and has good treatment potential.

A percutaneously delivered medical device and its method of use includes a catheter, at least two electromagnetic sensing coils located within the distal tip of the catheter, and at least one within the proximal handle, and a multi-element planar ultrasound transducer array located within the distal tip of the catheter and configured to transmit and receive ultrasonic energy in at least two imaging modes. The device also includes an imaging system coupled to the ultrasound transducer and is used for creating an image of tissue in a first target plane that extends orthogonally from the catheter body. The medical device also includes a backscatter evaluation system for use in receiving and evaluating the acoustic spectral characteristics of tissues within a second target area within the first target plane.

Proposed is a pulmonary disease screening system and a method for screening pulmonary disease using the same, which is configured to integrate a lung function measurement device and a breath analysis device into a single device and analyze biomarkers in pulmonary diseases by extracting the alveolar gas, the last part of the expired air injected into a lung function measurement device.

A safe wireless prompting device for patient nursing comprises a time control switch, a short message sending module, a pressure sensor, a falling bed monitoring circuit, a cough monitoring circuit and a time delay circuit. The time control switch, the power supply module, the short message sending module, the falling bed monitoring circuit, the cough monitoring circuit and the time delay circuit are arranged in the element box and are electrically connected; the pressure sensor is installed at the lower end of one bed leg of the sickbed. According to the utility model, the cough condition of a patient with severe lung diseases can be monitored in real time at night (or in the whole day) as required, whether the patient with the risk of falling off the bed falls off the bed can be monitored in real time, and when the patient coughs seriously or falls off the bed, an on-duty nurse in a nurse station can be prompted (including the sickbed number and the specific condition of the patient) in a short message manner; therefore, an on-duty nurse can timely go to the site for disposal, convenience is brought to medical staff, the labor intensity of the nurse staff is reduced, and the safety of a patient is guaranteed as much as possible.

The invention discloses a data acquisition and analysis system, belongs to the field of data acquisition and analysis, and provides services and assistance for medical staff and government decision makers by fully utilizing various information including treatment schemes, medication data, inspection data, examination data, image data, epidemiological data and the like. And important support is provided for scientific research of novel coronavirus. The invention is constructed according to the characteristics of pneumovirus, has strong specialty, and connects the epidemiological data with the treatment scheme, examination data, examination data, medication data and image data of the patient according to the identification number or the identity card number of the patient in the data acquisition and analysis process. Public health data and hospital internal information system data are fused, and the COVID-19 virus can be comprehensively known.

The utility model discloses a powder collection device of powder coating powder outlet, which aims to solve the technical problem that the existing laboratory sample printing small capacity high speed mixer lacks a dustproof mechanism in the powder collection process of the powder outlet, and the dust of the powder coating may be inhaled by the human body, which may cause respiratory tract irritation or long-term lung disease. The utility model discloses a high speed mixer, a mixing barrel arranged on the top of the high speed mixer, a lower drive motor group fixedly connected to the center of the bottom surface of the mixing barrel, a hinged barrel cover arranged on the edge of the top of the mixing barrel, a discharge channel fixedly arranged on the edge of the bottom surface of the mixing barrel, a manual discharge door fixedly arranged on the inlet of the discharge channel and a receiving barrel. The discharge channel comprises a discharge port. The discharge port is detachably sleeved with a first dustproof cloth and a second dustproof cloth which are through from top to bottom. The first dustproof cloth is located outside the second dustproof cloth. The first dustproof cloth is circumferentially arrayed with a plurality of deformable metal strips along the vertical direction.

Compounds having the structure of Formula (1) or the structure of Formula (2) as modulators of extracellular signal-regulated kinase, pharmaceutical compositions thereof, and uses of the compound and pharmaceutical compositions thereof for treating cancer and pulmonary diseases are disclosed.

The invention relates to a catheter and handle assembly for treating tissue. More specifically, the present invention relates to catheter assemblies having an elongate shaft, an ablation assembly coupled to one end of the shaft, and a handle coupled to the other end of the shaft. The handle facilitates axial and circumferential positioning of the ablation assembly through the shaft in the airway, conduit or vessel for treatment of tissue. Embodiments include the use of a handle to facilitate axial and circumferential positioning of the shaft and ablation assembly through and independent of the working channel of the bronchoscope during the treatment of pulmonary diseases such as COPD and asthma.

The present disclosure relates to a pharmaceutical composition comprising an inhalable immunosuppressive macrocyclic active ingredient for use in the prevention or treatment of a pulmonary disease or condition in a subject, which is administered by inhalation in form of an aerosol, and wherein the aerosol is generated by a nebulizer comprising: a) an aerosol generator comprising a fluid reservoir and a vibratable membrane having a plurality of apertures being adapted to produce an aerosol comprising droplets having a mass median aerodynamic diameter of up to about 4.0 μm as measured with a 0.9% (w / v) aqueous solution of sodium chloride; b) a chamber for temporarily accommodating the aerosol having an inner lumen with a volume in the range of from about 50 to about 150 ml; and c) a mouthpiece for delivering the aerosol supplied by the nebulizer to the subject, the mouthpiece having an exhalation filter.

A diffusing capacity predicting apparatus according to the present disclosure includes a memory including one or more instructions and a processor which executes the one or more instructions stored in the memory. In the memory, first information about a spirometry result of a user, second information which is clinical information, a first machine learning model, and a second machine learning model are recorded. The processor inputs the first information to the first machine learning model to extract a feature related to a lung disease and inputs the extracted feature and the second information to the second machine learning model to predict a diffusing capacity value of the user. Accordingly, the diffusing capacity may be more accurately predicted using the spirometer result and the artificial intelligence model, without using the diffusing capacity test method.

Provided are an inhalable pharmaceutical preparation, an apparatus using same, and use thereof in treating pulmonary diseases. The inhalable pharmaceutical preparation comprises a propellant, at least two active pharmaceutical ingredients, a cosolvent, and an anti-aggregation agent, wherein the cosolvent is selected from ethanol and absolute ethanol, and the propellant is tetrafluoropropene.

The present application relates to a method for detecting lung disease by cough sound, which specifically comprises: removing non-cough sound segments from original cough audio to obtain cough audio, and obtaining the start and end time of each single cough segment in the cough audio; generating a logarithmic mel-cepstrum matrix corresponding to each single cough segment according to the start and end time of each single cough segment, and calculating a position encoding matrix corresponding to each single cough segment; obtaining a feature matrix of the cough audio according to the logarithmic mel-cepstrum matrix and the position encoding matrix corresponding to each single cough segment; multiplying the normalized feature matrix of the cough audio by a proportion factor, adding the obtained product to the feature matrix of the cough audio, and inputting the result into a classification network for classification. The present application also relates to a device comprising a cough sound detection unit, an audio signal processing unit, a splicing unit, a normalization unit and a classification network unit. The method and device of the present application can improve the accuracy of the detection result.

The present disclosure relates to bronchoscope devices and method of use for the visualization and surgical treatment of pulmonary conditions within the lungs of a patient. The bronchoscope assembly comprises a first working channel and a second working channel that respectively provide complementary functions for accessing the surgical site and a plurality of surgical applications.