423 results about "Obstructive Pulmonary Diseases" patented technology

Methods of treating a central airway obstruction (CAO), benign airway stenosis, asthma, chronic obstructive pulmonary disease (COPD), or an airway tumor in a human subject, methods of treating chronic rhinosinusitis (CRS) or chronic rhinosinusitis with nasal polyps (CRSwNP) in a human subject, methods of treating a eustachian tube disorder in a human subject, and devices and systems for performing the methods. A method of treating a central airway obstruction (CAO), benign airway stenosis, asthma, chronic obstructive pulmonary disease (COPD), or an airway tumor in a human subject includes inserting a drug-coated balloon catheter into a target site in a trachea, mainstem bronchus, bronchus intermedius, lobar bronchus, segmental bronchus, or sub-segmental bronchus, wherein the balloon is coated with a coating layer including the therapeutic agent and one or more additives. The therapeutic agent includes paclitaxel, sirolimus, or a derivative thereof. The method includes inflating the balloon to dilate the airway and deliver a therapeutic agent to the airway wall. The method includes deflating the balloon. The method also includes withdrawing the balloon catheter from the target site.

The invention discloses a COPD-FE risk prediction method based on disease and symptom combination, and is applied to the technical field of chronic obstructive pulmonary disease risk prediction. Comprising the following steps: acquiring chronic obstructive pulmonary frequent acute exacerbation influence factor data of a patient; the influence factors are screened through LASSO regression and an improved Boruta algorithm respectively; the LASSO independent influence factors and the Boruta independent influence factors are combined in different modes, a Logistic regression model and an XGBoost model are trained, and a plurality of COPD-FE risk prediction models are obtained; and evaluating the performance of all the COPD-FE risk prediction models, and selecting the COPD-FE risk prediction model meeting the requirement to predict the COPD-FE risk. According to the method, clinical data of patients are collected, a risk prediction model is constructed in combination with a feature selection method and machine learning, and an optimal model is screened out through comprehensive evaluation.

The invention belongs to the technical field of biological medicine, and particularly discloses application of kaempferol in preparation of a medicine for treating chronic obstructive pulmonary disease. The invention provides application of kaempferol in preparation of a medicine for treating chronic obstructive pulmonary disease. The invention provides a medicine for treating chronic obstructive pulmonary disease. The medicine comprises kaempferol or pharmaceutically acceptable salt thereof as an active ingredient. The invention aims to provide the application of kaempferol in preparation of the medicine for treating the chronic obstructive pulmonary disease, and the chronic obstructive pulmonary disease is treated by adjusting an AMPK signal channel, a Hippo signal channel, an MAPK signal channel and a PI3K-AKT signal channel.

The invention discloses a chronic obstructive pulmonary disease patient screening system for the respiratory medicine department, particularly relates to the field of computer-aided diagnosis, and is used for solving the technical problems that an existing screening method is low in screening efficiency, low in patient adaptability and difficult to popularize on a large scale in a basic level. According to the system, a standardized patient medical event sequence is constructed by obtaining a target population medical record containing medicine distribution and disease diagnosis codes; identifying a characteristic medication and diagnosis mode before definite diagnosis of the chronic obstructive pulmonary disease based on a sequence pattern mining technology; constructing a medical knowledge graph by using the modes, obtaining a feature embedding vector representing a chronic obstructive pulmonary disease medical trajectory through graph neural network learning, and establishing a high-risk digital portrait; inputting the medical sequence of the person to be screened into a feature extraction model based on same map training, and generating an individualized risk probability prediction value by calculating the matching degree of the medical sequence and the digital portrait; and a screening result report is automatically generated, so that efficient and noninvasive early risk screening is realized.

The invention relates to the technical field of rehabilitation treatment of chronic obstructive pulmonary patients, and discloses a therapeutic scheme matching method for rehabilitation treatment of chronic obstructive pulmonary patients, comprising the following steps: step 1, a data acquisition and integration module which is responsible for collecting multi-dimensional data of patients; according to the treatment scheme matching method for the rehabilitation treatment of the chronic obstructive pulmonary disease patient, unnecessary medical resource waste can be avoided, the patient can be timely and properly treated, the overall utilization efficiency of the medical resources is improved, detailed treatment information and self-management suggestions are provided for the patient, and the patient is prevented from suffering from chronic obstructive pulmonary disease. A patient can better know the illness state and the treatment process of the patient, a personalized treatment scheme is easier to accept and execute by the patient, the treatment compliance of the patient can be improved, a large amount of real-world patient data is accumulated by the system, rich materials are provided for medical research, and through deep mining and analysis of the data, the treatment compliance of the patient can be improved. Pathogenesis, treatment effect influence factors and the like can be further explored.

The invention belongs to the field of medical image analysis, and provides a multi-modal semi-supervised image analysis and structured report generation method and application for solving the problems that standardized report generation efficiency of chronic obstructive pulmonary disease patients is low and the patients highly depend on artificial experience. Performing pretreatment; constructing an improved variational auto-encoder to obtain latent variable representation of the lung medical image data; using domain adaptive adversarial learning to align the data in the unlabeled data set to the distribution of the data in the labeled data set on the latent variable and the segmentation result; generating a preliminary report text by using a text decoder according to a hidden variable output by an encoder of the variational auto-encoder; knowledge distillation is carried out based on a pre-trained Teacher network and a text decoder, and medical terms and abbreviations in the preliminary report text are modified; and outputting the structured report. According to the invention, the lung focus can be segmented with high precision, the disease degree is quantified and the structured report is automatically generated.

The invention discloses a chronic obstructive pulmonary disease high risk dynamic assessment model system based on an artificial intelligence algorithm, relates to the technical field of chronic obstructive pulmonary disease high risk assessment, and aims to solve the technical problem that the timeliness and accuracy of an assessment result of an existing assessment model are limited. The medical data acquisition module is used for acquiring medical data of a subject through a wearable device, an electronic medical record system or a manually input multi-source channel, generating standardized preprocessed medical data after performing format cleaning, missing value filling and abnormal value filtering on the data, and transmitting the standardized preprocessed medical data to the memory of the cloud database; and the artificial intelligence dynamic assessment model construction module is used for constructing an artificial intelligence assessment model fusing time sequence characteristics and a nonlinear relationship based on the preprocessed medical data, and generating an intermediate result and a final parameter of risk assessment through multi-level calculation. The method has the advantage that the high risk of chronic obstructive pulmonary disease can be dynamically evaluated in real time.

The invention belongs to the technical field of medical instruments. In order to solve the problems that an existing lung function detection device is low in detection result accuracy and cannot detect parameters such as the residual gas amount, the device for assisting in detecting the lung function of the chronic obstructive pulmonary disease patient is provided and comprises a detection device, a helium bottle, a sealing mask, a nose clip, an air suction pipe, an air outlet pipe, a sealing unit and a plugging switching mechanism; one end of the air suction pipe is connected with the helium tank, and the other end is connected with the plugging switching mechanism; one end of the air outlet pipe is connected with the detection device, and the other end is connected with the plugging switching mechanism; the nose clip is arranged at the upper end of the sealing mask. According to the embodiment of the invention, a subject cannot inhale external air and cannot exhale in-vivo air from the nasal cavity through the nasal clip, and the plugging switching mechanism can thoroughly open the pipe orifice of the air outlet pipe or the air inlet pipe, so that the subject can inhale or exhale easily, the detection accuracy is high, and the detection efficiency is high. And the method can be combined with a closed helium dilution method to obtain parameters such as residual gas amount.

The present application belongs to the technical field of traditional Chinese medicine, and particularly relates to a traditional Chinese medicine composition for relieving cough and asthma, and a preparation method and application thereof. The traditional Chinese medicine composition comprises, in mass parts, perilla seed 5-15 parts, radish seed 5-15 parts, white mulberry bark 5-15 parts, orange red or processed orange red 5-15 parts, and cassia 5-15 parts. The traditional Chinese medicine composition has the effect of relieving cough and asthma, can effectively improve the clinical symptoms such as cough, expectoration and wheezing of patients with chronic obstructive pulmonary disease, promote lung rehabilitation, improve the dyspnea condition of the patients, and improve the life quality of the patients.

The embodiment of the invention provides a traditional Chinese medicine preparation for improving lung qi and yin deficiency constitution and a preparation method thereof. The traditional Chinese medicine preparation is prepared from the following raw materials: 1-3 parts of American ginseng, 2-15 parts of Chinese yam, 1.5-9 parts of codonopsis pilosula, 1-6 parts of dendrobium officinale, 1.5-9 parts of rhizoma polygonati, 0.5-2 parts of schisandra chinensis, 2-6 parts of lily, 1-3 parts of pericarpium citri reticulatae, 1-2 parts of liquorice, 1-5 parts of folium mori, 1-3 parts of donkey-hide gelatin, 1-3 parts of mint, 1-6 parts of angelica sinensis and 2-9 parts of coix seeds. Therefore, the traditional Chinese medicine composition has the functions of tonifying qi and yin, clearing heat and moistening lung, replenishing blood and promoting salivation, and relieving cough and reducing sputum, and can be widely applied to chronic cough, various pneumonia, pulmonary tuberculosis, chronic obstructive pulmonary disease, lung malignant tumor, asthma remission period of asthma, respiratory failure and other syndrome-differentiated lung qi and yin deficiency patients.

The utility model discloses a rehabilitation training device for nursing chronic obstructive pulmonary disease, a pedaling device comprises a mounting frame and a linkage assembly, and the mounting frame is arranged on the other side of a support frame; the linkage assembly is rotatably arranged in the mounting frame; the breathing device comprises a breathing box, a breathing assembly, a hose and a mask, and the breathing box is arranged on one side of the top of the mounting frame; the breathing assembly is arranged in the breathing box, and the breathing assembly is connected with the linkage assembly; one end of the hose is connected with the breathing assembly; the mask is connected with the other end of the hose; the control system comprises a microprocessor, and the microprocessor is arranged in the breathing box and connected with the breathing assembly. Therefore, the device combines pedaling and breathing training, strengthens lower limb strength and improves the breathing function, the linkage assembly ensures synchronization of the pedaling and breathing training, the training effect is improved, the built-in control system monitors breathing in real time, the training intensity is automatically adjusted, safety and comfort are guaranteed, and the training effectiveness and patient compliance are improved.

An early screening system for chronic obstructive pulmonary disease based on blood routine test data. It belongs to the technical field of digital medical treatment, and specifically relates to the technical field of intelligent early screening of chronic obstructive pulmonary disease. It solves the technical problem that the generalization ability of a COPD prediction model is limited due to differences between different research data sets. The system comprises a data collection module that collects blood routine test data of a plurality of chronic obstructive pulmonary disease patients and blood routine test data of a plurality of normal personnel; a data preprocessing module that performs standardization processing on the blood routine test data to obtain a standardized data set; a screening model training module that trains N classification models using the standardized data set and calculates the prediction accuracy of each classification model; and a screening model application module that obtains the fusion weight of each model by using a normalization processing method based on the prediction accuracy of each classification model, fuses the risk scores predicted by the multiple models, and obtains a final screening result.

The invention relates to the technical field of chronic obstructive pulmonary disease rehabilitation medical equipment and services, discloses a chronic obstructive pulmonary disease multi-mode respiratory training system based on behavioral design science, and aims to solve the technical problems that an existing respiratory training product is poor in patient compliance, poor in user experience and lack of personalized behavior guidance. The system comprises a hardware equipment cluster and a software service platform, a multi-dimensional intervention architecture is constructed based on an FBM behavior model, and closed-loop services of respiratory training, drug management, health monitoring and rehabilitation support are realized through an motivation promotion module, a capability optimization module, a multi-sensory prompt module and a data interaction module. The system effectively stimulates the training enthusiasm of a patient, reduces the operation threshold, improves the training and medication compliance, improves the respiratory function and life quality of the patient, reduces the consumption of medical resources, and has remarkable clinical application value and social and economic benefits through deep fusion of behavioral design and a multi-modal rehabilitation technology.

The invention relates to the technical field of medical data assistance, in particular to a screening assistance system and electronic equipment for chronic obstructive pulmonary disease based on cough sound, and the screening assistance system comprises a data acquisition module which is used for acquiring to-be-processed audio data; the cough sound extraction module is used for acquiring a Mel-frequency spectrogram of the audio data and extracting cough sound fragments from the Mel-frequency spectrogram by using a pre-trained Conformer-BiLSTM network; the chronic obstructive pulmonary disease screening module is used for preprocessing the cough sound segment and converting the cough sound segment into a frequency domain signal, and acquiring an FBank characteristic parameter corresponding to the frequency domain signal through a Mel filter; and inputting the FBank characteristic parameters into a pre-trained classification model with dynamic convolution and a multi-scale attention mechanism, and outputting classification results of the chronic obstructive pulmonary cough sound and the non-chronic obstructive pulmonary cough sound. According to the invention, the possibility of classification errors is reduced, and the classification efficiency is improved.

The invention relates to the technical field of medical rehabilitation training, and discloses a chronic obstructive pulmonary disease patient inspiration muscle endurance training method fused with a virtual reality environment, and the method comprises the steps: setting an inspiration training intensity threshold value according to the obtained individual information of a chronic obstructive pulmonary disease patient, and generating a virtual reality scene which comprises a virtual motion object and an advancing path; an inspiration signal value is obtained, the advancing speed of the virtual moving object and the inspiration signal value are in positive correlation mapping, the inspiration signal value is compared with an inspiration training intensity threshold value, and a comparison result is obtained; according to the comparison result, dynamically adjusting the visual environment resistance or kinematics resistance generated by the virtual reality scene to the virtual motion object, so that the advancing speed of the virtual motion object is matched with the inspiratory muscle endurance of the chronic obstructive pulmonary disease patient; according to the method, the problems that existing training compliance is low, a dynamic adjusting mechanism is lacked, and feedback intuition is poor are solved.

The invention discloses a Su semi-poria cocos-tangerine decoction for relieving high secretion of mucus in an acute exacerbation stage of chronic obstructive pulmonary disease as well as a preparation method and application of the Su semi-poria cocos-tangerine decoction, and relates to the technical field of traditional Chinese medicine compositions. The Su semi-poria cocos and orange soup is prepared from 8-10 g of fructus perillae, 8-10 g of rhizoma pinellinae praeparata, 8-10 g of ginger processed cortex magnoliae officinalis, 8-10 g of radix peucedani, 4-6 g of fried semen brassicae, 8-10 g of fried semen raphani, 8-10 g of fried rhizoma atractylodis macrocephalae, 12-15 g of poria cocos, 4-6 g of fried pericarpium citri reticulatae and 2-3 g of cortex cinnamomi. Clinical application of the Su semi-poria cocos and tangerine decoction prepared by the invention shows that compared with a control group which is only treated by conventional western medicine, the secretion amount of mucoprotein MUC5AC is greatly reduced, traditional Chinese medicine symptom integral, CAT score and mMRC score are greatly reduced, symptoms of a patient are obviously relieved, and no adverse reaction occurs. Therefore, the Su semi-poria cocos and orange soup can relieve high secretion of mucus with the syndrome of AECOPD turbid phlegm obstructing lung and improve clinical symptoms of patients, and is good in safety.

The utility model discloses a breathing device for chronic obstructive pulmonary disease rehabilitation training, and belongs to the technical field of rehabilitation training equipment. The air purifier comprises an air nozzle, an air cylinder with a built-in filter element and a cylinder cover with an open hole, and is characterized by further comprising an active air pressure adjusting assembly and a control assembly, the active air pressure adjusting assembly comprises an adjusting cylinder body, a forward and reverse rotation motor, a support and fan blades. The air tap, the air cylinder, the adjusting cylinder body and the cylinder cover are sequentially connected in a sealed mode. The breathing training device is compact in structure and easy to carry, the resistance of breathing training is dynamically adjusted in real time through the electrically-controlled active air pressure adjusting assembly, a user can find a more comfortable resistance gear more quickly during training, the internal pressure value of the device is monitored in real time through a built-in pressure sensor, and the breathing training effect is improved. Once the respiratory training exceeds the bearing pressure of the respiratory tract, the active air pressure adjusting assembly is immediately used for pressure reduction adjustment, so that the rehabilitation training is safer.

The invention discloses a chronic obstructive pulmonary disease detection method and system based on multi-instance learning and multi-task learning, and the method comprises the steps: collecting and processing the multi-omics data of a subject, and manually marking the CT slice images of a part of the subject to construct a first training set; constructing a lung segmentation model based on a U-Net network, and training by using the first training set; using the trained lung segmentation model to obtain CT slice images containing lungs corresponding to all subjects, and constructing a second training set; improving the DSMIL network based on a multi-instance learning method and a multi-task learning method to construct a chronic obstructive pulmonary disease detection model, and training by using the second training set; utilizing the trained lung segmentation model to obtain a CT slice image containing the lung of the subject, and then utilizing the trained chronic obstructive pulmonary disease detection model to obtain a corresponding chronic obstructive pulmonary disease detection result. According to the method, the feature extraction capability of the model can be improved, the generalization capability of the model is enhanced, and high accuracy of chronic obstructive pulmonary disease detection is ensured.

The present disclosure introduces an AI-based system (100) and method for predicting the risk of acute exacerbation of chronic obstructive pulmonary disease (COPD) over three months. The system interfaces with consumer devices through REST APIs, ensuring secure communication via HTTPS. Client modules collect and pre-process raw data for integrity and compatibility. This data is then sent to the server (104) which is then transmitted to Input module, the input module (112) authenticates and validates it. The module processes personal details, respiratory history, allergies, vaccination and medication history, and demographic data for air quality analysis. The prediction module (116) uses a CART Model with 90% accuracy to evaluate COPD risk. Based on predefined thresholds, the clinical pathway module (118) and risk prediction response module (120) offer personalized treatment protocols and clinical decision support. The system complies with ISO 13485 standards for safety and reliability.

The invention discloses a chronic obstructive pulmonary disease mouse model induced by long-term continuous cigarette smoke exposure as well as a construction method and application thereof, and the construction method comprises the following steps: introducing cigarette smoke with constant concentration into a smoke exposure device, so that a mouse is in a cigarette smoke exposure environment for a long time and maintains normal diet and drinking; performing macroscopic characterization and microcosmic index evaluation on the mouse model with the chronic obstructive pulmonary disease until clinical symptoms of the chronic obstructive pulmonary disease appear; wherein the smoke exposure device comprises a smoke mixing box, a sealed feeding exposure box and a control box, the sealed feeding exposure box provides a cigarette smoke exposure environment, and the control box maintains the stability of the cigarette smoke exposure environment. According to the method, the occurrence cause of the chronic obstructive pulmonary disease of the mouse is simulated by optimizing exposure parameter conditions, the clinical symptoms of the chronic obstructive pulmonary disease of the mouse model are evaluated in multiple dimensions, and the method accords with the symptoms and signs of the chronic obstructive pulmonary disease, is high in similarity and good in reliability, and can be used as a disease model for research of the chronic obstructive pulmonary disease.

The invention discloses an intelligent oxygen generator for patients with chronic obstructive pulmonary disease, which comprises a household oxygen generator, and a portable oxygen generator is arranged on the household oxygen generator in a manner of being inserted and pulled out. The household oxygen generator comprises a main body shell, an air inlet, a display screen, a household oxygen outlet, a household humidifying water tank, a storage drawer, and a power supply, a central control module and an oxygen generation function module group which are positioned in the main body shell, the oxygen generation function module set comprises an air inlet module, an air compression module, a valve switching and control module, a separation module, an oxygen storage and buffer module and an exhaust module, the portable split type module design is adopted, so that the long-time oxygen inhalation requirement of a patient is met, meanwhile, the product supports intelligent operation, has the functions of intelligent monitoring, real-time adjustment and the like, and is suitable for popularization and application. Parameters such as oxygen concentration and flow velocity can be automatically adjusted according to different states of patients, and the problems that an existing oxygen generator is poor in environment adaptability, single in function, insufficient in portability and the like are solved.

The disclosure relates to compounds of the disclosure and pharmaceutically acceptable salts thereof to their use in medicine; to compositions containing them; to processes for their preparation; and to intermediates used in such processes. The compounds of the disclosure may be useful in the treatment, prevention, suppression and amelioration of disease(s) such as atopic dermatitis, eosinophilic gastritis, atopic keratoconjunctivitis, allergy, alopecia, Alzheimer's disease, asthma, atherosclerosis, Bechet's disease, bullous pemphigoid, cancer, chronic obstructive pulmonary disease, chronic pruritis, chronic urticaria, Crohn's disease (CD), dermatitis, diabetic kidney disease, eosinophilic esophagitis, fungal keratitis, gout, idiopathic pulmonary fibrosis (IPF), keloids, non-alcoholic steatohepatitis (NASH), primary biliary cirrhosis, prurigo nodularis, psoriasis, psoriatic arthritis, rhinosinusitis, scleroderma, systemic lupus erythematosus (SLE), systemic sclerosis, ulcerative colitis (UC), vitiligo, or hidradenitis suppurativa. The compounds of the disclosure may be useful in the treatment, prevention, suppression and amelioration of a dermatological condition or a respiratory condition.

The present invention relates to the technical field of genetic engineering. Particularly provided are an identification marker for early chronic obstructive pulmonary disease and the use thereof in a diagnostic kit. The identification marker for the early chronic obstructive pulmonary disease is screened, which is miRNA1255a in serum-derived exosomes; in addition, biological function analysis after sequencing proves that among a plurality of target genes of miRNA1255a, the tissue inhibitor of metalloprotease (TIMP-2) and CD36, which are genes related to the protease / antiprotease balance, are involved in the Ca ion signaling pathway, and moreover, the expression of CD36 and TIMP-2 proteins proves that said two proteins are negatively correlated with miRNA1255a. Moreover, it is found in detection results that the expression of TIMP-2 and the expression of CD36 are all downregulated when the expression of miRNA1255a is upregulated. The biomarker for the early chronic obstructive pulmonary disease is provided, which can easily screen potential patients with early onset of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) remains a major cause of morbidity and mortality worldwide. Acute exacerbation of COPD (AE-COPD) in patients are mostly due to respiratory infection and are associated with an inexorable decline in lung function, enhanced oedema as well as airway and systemic inflammation. Previous results show that treatment with anti-IL-20Rb blocking antibodies increased the bacterial clearance in control mice infected by S. pneumoniae and protected CS-exposed mice from bacterial infection, by decreasing the bacterial burden and the inflammatory infiltrate. Therefore there is an interest for generating monoclonal antibodies specific for IL-20Rb with a neutralizing activity for their use in the treatment of AE-COPD. The present invention fulfills this need by providing antibodies having specificity for IL-20Rb.

The application belongs to the field of digital medicine, and particularly relates to a chronic obstructive pulmonary disease (COPD) differential system based on digital lung sound, a construction method and application thereof. The system comprises a data acquisition module, a preprocessing module, a conversion module, a data module, a data processing module, a data enhancement training module, a deep learning module, a differential module, a grading module and a display module. Digital lung sound records of candidates are collected, converted into mel spectrograms, and diagnosed by using a deep neural network. The candidates are COPD patients, healthy people, or people suffering from other lung diseases, and the disease grade of the COPD patients is given by a device carrying the differential system. The examination only needs to collect lung sounds in clinical or other places, reduces radiation damage and possible infection risk in the conventional diagnosis process, and provides a scheme for early diagnosis of COPD, and improves the diagnosis efficiency of the respiratory department, especially the COPD disease.

The invention relates to the technical field of medical instruments, and discloses a respiratory efficiency feedback-based chronic obstructive pulmonary disease home rehabilitation device which comprises a respiratory training rehabilitation device body, an extension tube is arranged at the front end of the respiratory training rehabilitation device body, and a respirator is fixedly connected to the end, away from the respiratory training rehabilitation device body, of the extension tube. A feedback assembly is arranged in the middle of the extension pipe, an adjusting assembly is arranged in the feedback assembly, a supplementing assembly is arranged on the side edge of the feedback assembly, the feedback assembly comprises a hollow box fixedly connected to the middle of the extension pipe, a center shaft movably penetrates through the upper portion of the hollow box, and air flow blades are distributed on the outer surface of the center shaft in an annular array mode. By arranging the feedback assembly and the middle of the extension tube, the feedback assembly can be driven to operate in the breathing process of a patient, the feedback effect is achieved through the moving track of the red tying cloth, the feedback situation changes along with the breathing rate of the patient, expiration and inspiration are fed back separately through the one-way bearing, and the feedback effect is more detailed.

The present invention provides, in part, a novel small molecule PHD inhibitor having a structure according to Formula (A) or a sub-formula thereof: or a pharmaceutically acceptable salt thereof. The compounds provided herein are useful in the treatment of diseases, including heart diseases (e.g., ischemic heart disease, congestive heart failure, and valvular heart disease), lung diseases (e.g., acute lung injury, pulmonary arterial hypertension, pulmonary fibrosis, and chronic obstructive pulmonary disease), liver diseases (e.g., acute liver failure and liver fibrosis, and cirrhosis), and kidney diseases (e.g., acute liver failure, liver fibrosis, and cirrhosis). Acute kidney injury and chronic kidney disease).

The invention discloses a lung disease diagnosis and grading method based on quantitative CT image omics and deep learning. According to the method, through multi-dimensional information integration and model optimization, two core tasks of disease judgment and disease condition grading can be completed at the same time, and comprehensive support is provided for clinical diagnosis and treatment. The model sets feature priorities by referring to clinical diagnosis logic in the training process, the judgment result and the grading standard are completely matched with clinical general specifications, and the model can be directly applied to diagnosis and treatment decision-making without secondary conversion of doctors. After multi-center clinical verification and iterative optimization, the stability and the accuracy of the model are fully guaranteed, subjective errors caused by manual film reading can be effectively reduced, the diagnosis efficiency can be improved, the chronic obstructive pulmonary disease screening capability of primary medical institutions can be remarkably improved, early diagnosis and early treatment of more patients can be helped, and the clinical application prospect is wide. Therefore, the morbidity and disability rate of diseases are reduced, a clinical management path is optimized, and the overall disease burden is relieved.

The invention relates to a crystal form of a compound shown as a formula I or a pharmaceutically acceptable salt thereof and a preparation method of the crystal form of the compound shown as the formula I or the pharmaceutically acceptable salt thereof. The compound of the formula I or the pharmaceutically acceptable salt thereof is used for treating cardiovascular diseases, endothelial dysfunction, diastolic dysfunction, atherosclerosis, hypertension, heart failure, pulmonary arterial hypertension (WHO levels I, II, III, IV), angina pectoris, thrombus, restenosis, myocardial infarction, stroke, cardiac insufficiency, fibrosis, pulmonary hyperplasia, erectile dysfunction, asthma, chronic kidney disease, diabetes, and the like. The composition can be used for treating liver cirrhosis, chronic obstructive pulmonary disease (COPD), acute respiratory distress syndrome, acute lung injury, pulmonary fibrosis, cystic fibrosis or interstitial lung disease.

The invention discloses a specific antibody for detecting cathepsin S, a kit and application. The specific antibody for detecting cathepsin S is prepared by coupling a cathepsin S specific antigen epitope peptide with a carrier protein and then immunizing an animal, and the amino acid sequence of the antigen epitope peptide is at least one of a sequence shown as SEQ ID NO.1 and a sequence shown as SEQ ID NO.2. The specific antibody for detecting cathepsin S can specifically detect cathepsin S, and has the advantages of high sensitivity, good specificity, good repeatability and the like; when being used for auxiliary diagnosis or curative effect evaluation of the chronic obstructive pulmonary disease, the marker has good diagnosis sensitivity, specificity and repeatability, meets clinical application requirements, provides a more accurate and reliable objective index for auxiliary diagnosis, illness monitoring and prognosis evaluation of the chronic obstructive pulmonary disease, and is worthy of popularization and application. The method has important significance and clinical application value for diagnosis and treatment of chronic obstructive pulmonary diseases.