36510 results about "Disease" patented technology

The invention relates to the technical field of poultry breeding monitoring, and discloses a chicken flock state inspection monitoring system and method. The method comprises the following steps: firstly, collecting chicken flock visual images, sound signals, environment temperature and humidity and individual activity track data, and constructing a multi-modal data set through labeling and preprocessing; different modal data features are extracted and fused; training a self-supervised contrast learning model to generate a discrimination model, and optimizing hyper-parameters in combination with a genetic algorithm; collecting data in real time, calculating a health state probability, generating an abnormal score, and dynamically updating an early warning threshold value; and if the abnormal score exceeds a threshold value, grading early warning and abnormal positioning are carried out. The system comprises a data acquisition and preprocessing module, a feature extraction module, a feature fusion module and the like. According to the method, the health of the chicken flocks is accurately monitored by using multi-modal data, dynamic early warning and model adaptive optimization are realized, the breeding benefits are improved, and the disease risk is reduced.

The present invention relates to a compound of formula (I), or a stereoisomer, a tautomer, a deuterated compound or a pharmaceutically acceptable salt thereof, a preparation method therefor, a pharmaceutical composition comprising the compound, and the use thereof as a drug for treating and / or preventing KRAS-mediated diseases.

The disclosure provides compounds, e.g., compounds of Formula I, and their use in treating medical diseases or disorders, such as cancer. Pharmaceutical compositions and methods of making various indene compounds are provided. The compounds are contemplated to be modulators of Ras (e.g., K-Ras).

The invention relates to the technical field of remote sensing monitoring, in particular to an intelligent forest disease and pest monitoring method and system based on unmanned aerial vehicle remote sensing, and the method comprises the following steps: collecting multispectral data by an unmanned aerial vehicle, extracting reflectivity and smoothing the reflectivity, carrying out differential recognition on abnormal pixels, extracting curves and screening significant changes, segmenting scab boundaries, and classifying health states. And generating a pest and disease map layer prediction trend. According to the method, the reflectivity time sequence is constructed, differential processing is carried out, the vegetation change trend is dynamically captured, abnormal areas are identified by combining slope offset and persistence analysis, significant pixels are screened according to main peak wavelength offset, boundary information is extracted, the scab positioning precision is improved, and the recognition resolution of the lesion state is enhanced through reflectivity combined analysis; accurate description of disease spot dynamic changes is realized, static image dependence limitation is broken through, monitoring time continuity and space response capability are enhanced, and disease and insect pest change capture efficiency and state classification accuracy are effectively improved.

The invention provides a construction method of a comprehensive intelligent early warning system for a traumatic patient, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: carrying out the processing of multi-modal data through a feature engineering framework, and extracting multi-scale time sequence features and correlation features; carrying out abnormal state identification and complication risk prediction by adopting a deep learning prediction framework, and carrying out feature fusion through an attention mechanism; constructing a medical knowledge graph to obtain vector representation of domain rule knowledge; and performing integrated verification through a bidirectional mapping mechanism to generate a prediction result. According to the invention, accurate early warning of disease development of the trauma patient can be realized, the early warning accuracy and interpretability are improved, and effective support is provided for clinical decision making.

The disclosure provides compounds, e.g., compounds of Formulae (I)-(III), and their use in treating medical diseases or disorders, such as cancer. Pharmaceutical compositions and methods of making various indene compounds are provided. The compounds are contemplated to be modulators of Ras (e.g., K-Ras).

Compounds of formula (I) useful as cancer treatment, the preparation method thereof, pharmaceutical compositions comprising the compounds, and the pharmaceutical uses for the treatment of certain diseases or disorders are disclosed.

Disclosed are compounds of Formula (I), methods of using the compounds for inhibiting KRAS activity and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders associated with KRAS activity such as cancer.

The present invention provides substituted tricyclic compound of formula (I), which are therapeutically useful as KRAS degraders. These compounds are useful in the treatment and / or prevention of diseases or disorders dependent upon KRAS. The present invention also provides pharmaceutical compositions comprising a compound of formula (I) or a pharmaceutically acceptable salt or a stereoisomer or a tautomer thereof thereof.

The present invention is directed to the compounds of Formula (A) inhibitors of KRAS(G12D). The inhibitors described herein can be useful in the treatment of diseases or disorders associated with KRAS(G12D), such as Lung cancer, Pancreatic cancer, Colorectal cancer et al. In particular, the invention is concerned with compounds and pharmaceutical compositions inhibiting KRAS(G12D), methods of treating diseases or disorders associated with KRAS(G12D), and methods of synthesizing these compounds.

The present application relates to the technical field of medicines, and relates to a macrocyclic compound containing amide substitution, in particular to a compound as shown in formula (I) or a pharmaceutically acceptable salt thereof, and a preparation method therefor, a pharmaceutical composition containing the compound, and a use thereof in the treatment of disease.

Compounds that degrade of Src homology 2 domain-containing phosphatase 2 (SHP2); compositions comprising the same; and their use for treating cancer and other diseases or conditions mediated by SHP2.

The invention relates to an intelligent diagnosis and treatment method and system based on a knowledge graph and a large language model. The method comprises the steps of constructing a basic framework of a medical field knowledge graph based on collected medical field data, constructing multi-level knowledge graph expression, obtaining symptom description of a patient through multiple rounds of dialogues, diagnosing the patient and generating a diagnosis report, rechecking and adjusting the diagnosis report by a professional physician, and finally outputting the diagnosis report. The intelligent diagnosis and treatment system comprises a knowledge graph construction module, an intelligent question and answer system, an entity matching module, an intelligent diagnosis module, a doctor review and diagnosis report adjustment module, a diagnosis report output module and the like. And main diseases are screened, so that the coverage is wider. And three levels of knowledge maps are constructed, so that text matching with finer granularity can be carried out. The non-standardized expression of the patient is firstly converted into standardized medical terms through a large model, and drug allergy and the like are taken into consideration, so that the diagnosis accuracy is improved, and the diagnosis and treatment risk is reduced.

Provided herein are compounds, or salts, esters, tautomers, prodrugs, zwitterionic forms, or stereoisomers thereof, as well as pharmaceutical compositions comprising the same. Also provided herein are methods of using the same in modulating (e.g., inhibiting) KRAS (e.g., KRAS having a Q61H, G12D, G12V, G12C, G12S, G12A, G12R, or G13D mutation or wild-type KRAS, including wild-type amplified KRAS) and treating diseases or disorders such as cancers in subjects in need thereof.

The present embodiments provide compounds of Formula I, compositions of the compounds, and methods for treating diseases such as cancer.

The disclosure provides compounds, e.g., compounds of Formula I, and their use in treating medical diseases or disorders, such as cancer. The compounds are contemplated to be modulators of Ras (e.g., K-Ras).

Disclosed are compounds of Formula (I), methods of using the compounds for inhibiting KRAS activity and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders associated with KRAS activity such as cancer.

The invention relates to the field of biotechnology and medicine, and more particularly to a polypeptide having the amino acid sequence SEQ ID NO: 1 and being capable of inhibiting RAS-GTPase activity, to the use of said polypeptide to produce a drug for treating stomach cancer or rectal cancer in a dose of 0.81-3.00 mg / kg, as well as to a drug based on said polypeptide for the treatment of stomach cancer or rectal cancer, and to a method for treating stomach cancer or rectal cancer by intraperitoneally administering said drug to a subject in an amount of 150 ml twice at an interval of 7 days.

Aspects of the disclosure relate to complexes comprising a muscle-targeting agent covalently linked to a molecular payload. In some embodiments, the muscle-targeting agent specifically binds to an internalizing cell surface receptor on muscle cells. In some embodiments, the molecular payload inhibits expression or activity of a DMPK allele comprising a disease-associated-repeat. In some embodiments, the molecular payload is an oligonucleotide, such as an antisense oligonucleotide or RNAi oligonucleotide.

The invention relates to the technical field of civil engineering tunnel structure safety monitoring and intelligent detection, in particular to a multi-modal fusion tunnel structure apparent disease identification and risk assessment system, which comprises an image acquisition module used for acquiring continuous images of the inner wall of a tunnel lining; a laser point cloud acquisition module; a structure sensor acquisition module; a data synchronization and preprocessing module; the multi-modal feature extraction module is used for performing depth feature extraction on the image, the point cloud and the sensor data; the heterogeneous feature fusion and disease identification module is used for fusing each modal feature and outputting a disease type identification result; and the risk assessment module is used for carrying out size estimation and parameterized expression on the identified diseases. The problems that in an existing tunnel inspection technology, the detection means is single, appearance and internal information cannot be considered, and the disease size is difficult to quantify automatically are solved.

The disclosure provides compounds, e.g., compounds of Formula I, and their use in treating medical diseases or disorders, such as cancer. The compounds are contemplated to be modulators of Ras (e.g., K-Ras).

Provided are a pyrimidine polycyclic derivative inhibitor, a preparation method therefor and the use thereof. In particular, provided are a compound as shown in the general formula, a preparation method therefor, a pharmaceutical composition comprising the compound, and the use thereof in the treatment of cancers and other related diseases.

The invention discloses an osteoarticular disease rehabilitation training optimization system, and relates to the field of medical training, and the system comprises an authority control module which is used for connecting an electronic medical system, obtaining the reading authority of historical and current medical data of a patient, and obtaining the instruction control and data reading authority of each functional module; the multimode acquisition module is used for acquiring pathological bone joints, associated musculoskeletal data and personal basic data through the authority control module, and converting original data into feature vectors of muscle activation degree, bone joint activity degree and skeleton stress distribution of a corresponding area of a patient body; by integrating medical data, musculoskeletal features and economic condition information of a patient, a personalized model is constructed to output an optimal adaptive training item and specific data thereof, the compensatory load of a non-ill-conditioned joint is evaluated, and timely intervention is performed through a fusing mechanism when abnormity is monitored in real time, so that the safety is ensured.

Aspects of the disclosure relate to complexes comprising a muscle-targeting agent covalently linked to a molecular payload. In some embodiments, the muscle-targeting agent specifically binds to an internalizing cell surface receptor on muscle cells. In some embodiments, the molecular payload inhibits expression or activity of a DMPK allele comprising a disease-associated-repeat. In some embodiments, the molecular payload is an oligonucleotide, such as an antisense oligonucleotide or RNAi oligonucleotide.

The invention relates to a digital chronic disease intelligent management platform based on an AI model and multi-dimensional data fusion, clinical diagnosis and treatment data, wearable equipment monitoring data, medication record data and environment monitoring data are acquired through a data acquisition module, and after standardized preprocessing is performed through a data fusion processing module, deep analysis is performed through an AI analysis module, and the data fusion processing module performs data fusion processing; in combination with medical knowledge of the knowledge base module, the intelligent decision-making module generates a personalized management scheme, and the personalized management scheme is implemented through the intervention execution module and the intelligent interaction module. Multi-dimensional health data are processed through an AI large model, a complex mode and an association relationship are automatically learned, and accurate disease prediction and risk assessment are realized; the pertinence of the scheme and the compliance of a patient are greatly improved; and real-time interaction and personalized guidance are provided, the participation degree and the self-management ability of the patient are effectively enhanced, and a benign health management cycle is formed.

The present invention is directed to the compounds of Formula (IV) inhibitors of KRAS(G12D). The inhibitors described herein can be useful in the treatment of diseases or disorders associated with KRAS(G12D), such as Lung cancer, Pancreatic cancer, Colorectal cancer et al. In particular, the invention is concerned with compounds and pharmaceutical compositions inhibiting KRAS(G12D), methods of treating diseases or disorders associated with KRAS(G12D), and methods of synthesizing these compounds.

The invention discloses an unmanned aerial vehicle laser and vision fusion inspection method and system for bridge bottom disease detection, and the method comprises the steps: carrying out the synchronous data collection through employing a calibrated laser radar, a camera and an IMU, and obtaining a three-dimensional laser point cloud and a two-dimensional visual image of the appearance of a bridge; sharpening the image containing the motion blur and completing brightness self-adaption of the image; stable feature points are extracted, multi-frame matching is carried out, the corresponding poses of the images are estimated, and bridge dense point cloud reconstruction is completed; performing geometric component segmentation on the point cloud to generate a geometric prior region; component segmentation is carried out on a support area in the image, and a continuous and accurate component segmentation result is obtained in combination with a geometric prior area; screening the image, calling a targeted disease detection model in a corresponding component area, and generating a segmentation mask for the disease; obtaining a real disease three-dimensional point cloud, and carrying out quantitative calculation on the physical size of the disease; and displaying the real disease three-dimensional point cloud data and the physical size of the disease. The method is high in efficiency and precision.

A pharmaceutical composition comprising a protein arginine methyltransferase 5 (PRMT5) inhibitor and a KRASG12C (Kirsten rat sarcoma viral oncogene homolog glycine-to-cysteine) inhibitor. The pharmaceutical composition can be used for treating various cancers, comprising solid tumors. The combined product can be used for treating any number of diseases associated with PRMT5 and / or KRASG12C.

To provide methods for treating a subject having or at risk of developing a neurocognitive disorder, such as frontotemporal lobar degeneration or neuronal ceroid lipofuscinosis.SOLUTION: Provided is a method comprising administering, to a subject diagnosed as having a neurocognitive disorder (NCD), a composition comprising a population of cells comprising a transgene encoding a progranulin (PGRN) or a granulin (GRN).SELECTED DRAWING: Figure 1A