9287 results about "Pharmacy medicine" patented technology

The invention discloses a method for in vitro slow release performance evaluation of a slow and controlled release preparation based on the overflow principle. A container with an upper outlet and a lower outlet is adopted to serve as a release tank, a to-be-detected medicine and a dissolution medium are placed in the release tank, a stirring device is adopted in the release tank to perform stirring, and the dissolution medium is added from the lower outlet of the release tank through a peristaltic pump; the dissolution medium dissolved with the medicine is taken away through the overflow from the upper outlet so as to offset medicine absorption or metabolism, and the slow and controlled release speed of the medicine, the total medicine overflow quantity and the total release amount are calculated by measuring the concentration of the medicine contained in the dissolution medium flowing out, the volume of the release tank and the overflow quantity. According to the method, the releasing degree of the slow and controlled release medicine can be evaluated accurately, the effective medicine release time of the slow and controlled release preparation is evaluated, and slow release performances of the slow and controlled release preparation are evaluated comprehensively.

A modular disease management system may provide medication management for a patient. The system may include a base configured to at least partially couple to a tissue site of a patient. The system may further include a medication bladder coupled to the base and configured to maintain medication. The system may further include a medication pump coupled to the medication bladder, comprising a conduit and muscle wire-actuated plungers, wherein the medication pump is configured to cause the medication to flow from the medication bladder through the conduit. The system may further include a cannula insertion device coupled to the medication pump via the conduit, wherein the cannula insertion device comprises a cannula, a spring, and a triggering component, wherein the cannula insertion device is configured to insert the cannula into the tissue site of the patient by actuation of the spring released by the triggering component.

The invention relates to the technical field of medical dressings, in particular to a perianal drug dressing of a multi-layer flow guide composite fabric and a preparation method and application of the perianal drug dressing of the multi-layer flow guide composite fabric. The perianal drug dressing is of a four-layer structure, a wet tissue adhesion layer is made of polydopamine modified chitosan / oxidized hyaluronic acid hydrogel, and wet-state adhesion is achieved; the drug sustained-release layer is used for dispersing mesoporous silica loaded with ciprofloxacin hydrochloride / defensin and chitosan microspheres loaded with epidermal growth factors / lonicera japonica into a polycaprolactone fiber membrane to achieve synergistic antibacterial and healing promotion; the directional flow guide layer is of a gradient wettability sandwich structure with a bionic micro-channel, and one-way rapid drainage can be achieved; the high-absorption outer layer is carboxymethyl cellulose / sodium polyacrylate composite sponge, liquid is locked efficiently, the wound surface is kept dry and comfortable, the clinical problem in perianal infection wound treatment can be effectively solved, and the treatment effect and the patient comfort are remarkably improved.

The invention is applicable to the technical field of clinical medicine, provides a clinical multi-modal cancer drug response prediction method based on feature reconstruction, constructs a clinical multi-modal model for drug response prediction of diffuse large B-cell lymphoma, and aims to predict the drug response of diffuse large B-cell lymphoma by integrating gene sequencing and clinical multi-modal data. And accurate drug reaction prediction is realized. The model adopts an end-to-end multi-stage processing flow: firstly, extracting gene features through TransP-Net, and processing multi-modal clinical data by using a clinical information encoder; then, pseudo-gene features are generated through a clinical-genome filling module to deal with the data missing problem; and finally, multi-modal deep fusion is realized through a clinical information decoder, and a prediction result is output. According to the method, data characteristics and working processes in a real clinical environment are fully considered, two conditions of complete gene data and missing gene data can be processed at the same time, and the method has a good clinical transformation prospect and application value.

The invention provides a benzofuranone compound as well as a pharmaceutical composition and application thereof, and relates to the technical field of medicines. The benzofuranone compound is a compound as shown in a formula I, a stereoisomer thereof, a tautomer thereof, a crystalline hydrate thereof, a solvate thereof, a prodrug thereof or a pharmaceutically acceptable salt thereof. The benzofuranone compound and the pharmaceutical composition and the pharmaceutical preparation prepared from the benzofuranone compound can prevent or treat organ injury diseases, and have good treatment effects in kidney injury, liver injury, lung injury, brain injury and heart injury.

The invention provides a drug-disease association prediction method and system, computer equipment and a medium, and belongs to the technical field of computers. The method comprises the following steps: constructing a drug-protein-disease heterogeneous network, and extracting a plurality of element path sub-graphs; inputting the meta-path sub-graph into a multi-scale diffusion graph convolution module, executing learnable multi-step graph diffusion on the basis of graph convolution, synchronously capturing local adjacency and high-order topological information, and generating node embedding; and performing dynamic weighted fusion by utilizing meta-path attention to obtain unified representation. In order to relieve imbalance of positive and negative samples, implementing difficult negative sampling in the embedding space, and constructing a balance training set with the positive samples; medicine-disease features are spliced, a regularization XGBoost classifier is trained, and unknown correlation accurate prediction is achieved. By adopting the method, the drug-disease association prediction precision and efficiency are improved, multi-scale topology and priori knowledge are fused, and a powerful calculation tool is provided for drug relocation.

The invention relates to the technical field of traditional Chinese medicine physical therapy instruments, in particular to a traditional Chinese medicine physical therapy hot compress device which comprises a waistband body, a temperature uniformizing layer, a physical therapy assembly and a control module. A control module is arranged in the middle of the waistband main body, flexible heating belts are symmetrically arranged on two sides, and adjustable connecting pieces (clamping seats and buckling pieces) are arranged at two ends of the waistband main body, so that the waistline is convenient to adjust; a temperature uniformizing layer and a physiotherapy assembly are sequentially arranged on the inner side of the flexible heating belt, the temperature uniformizing layer is provided with a flexible bag, and the flexible bag is filled with a phase change heat storage material; the physiotherapy assembly comprises a physiotherapy bag and a detachable medicine bag; the control module is provided with a display screen, an adjusting button, an external charging port, a storage battery pack, a temperature sensor and a microprocessor; according to the device, the temperature is accurately controlled through the temperature sensor and the microprocessor, the heat is uniformly distributed through the temperature uniform layer and the phase change material, a user can change a medicine bag according to needs to achieve personalized physiotherapy, and the device has the advantages of being accurate and controllable in temperature, uniform in heat distribution, high in physiotherapy pertinence, convenient and flexible to use and stable and reliable in endurance.

A medication dispensing system is provided with several cooperating components which help to accommodate the responsible handling of medications. These systems include a user interface to receive input from the user and to present appropriate information / notices / alarms. Further, physical controls and multiple sensors are provided to detect tampering, misuse, and attempts to inappropriately access medications contained within the dispensing system. This misuse can thus be detected, and appropriate notifications can be provided, where appropriate. Further, by adding network communications capabilities, notices can be widely communicated to others, and operation of the medication dispensing system can be controlled and / or monitored remotely.

Systems, devices and methods are provided for determining a medication dose for a patient or user. The dose determination can account for recent and / or historical analyte levels of the patient or user. The dose determination can also take into account other information about the patient or user, such as physiological information, dietary information, activity, and / or behavior. Many different dose determination embodiments are set forth, pertaining to a wide array of different aspects of the system or environment in which the embodiments can be implemented.

The invention relates to the technical field of medicinal packaging container manufacturing, and discloses a processing technology of a double-cavity cartridge bottle, which comprises the following steps: glass tube loading: selecting a glass tube as a raw material, loading the glass tube into a clamping mechanism of forming equipment, fixing the glass tube through a positioning assembly, enabling the axis of the glass tube to coincide with a processing datum line of the equipment, and forming the glass tube; according to the processing technology of the double-cavity cartridge bottle, double-cavity integrated forming is adopted, the strength and the sealing performance of a separation structure of the main body cavity and the bypass cavity are effectively improved, the sealing hidden danger of split splicing is avoided, the leakage and fracture risks are greatly reduced, the technology is matched with the two forming means that a guide pipe is inserted into blow molding and matched with a mold, and medicinal glass raw materials are compatible; the double-cavity cartridge bottle meets the requirements of medical storage for stability and adaptability, meets the storage requirements of various drugs, reduces drug adsorption and chemical reactions, broadens clinical application scenes, and remarkably improves the practical value of the double-cavity cartridge bottle.

The invention discloses a macrophage-targeting inhalable nano material, a preparation method thereof and application of the inhalable nano material in treatment of sepsis myocarditis, and belongs to the technical field of medicines. The nano-material is a nano-liposome, the nano-liposome comprises a mannose modified nano-liposome microsphere, and the mannose modified nano-liposome microsphere comprises a liposome skeleton shell layer, a drug and a targeting layer; the liposome skeleton shell layer comprises soybean lecithin and cholesterol; the medicine comprises quercetin and TPPU (Thermoplastic Polyurethane); and the targeting layer is formed by connecting mannose modified DSPE-PEG2000 to the outer surface of the liposome skeleton shell layer. The nano material can accurately target macrophages at a cardiac inflammation part, has a multi-target-point synergistic effect, is more convenient and faster in administration, remarkably improves the safety and comprehensively improves the treatment effect.

The invention provides a multi-module collaborative clinical blood coagulation function intelligent evaluation and drug recommendation system, and relates to the technical field of medical information processing. Comprising a data acquisition and fusion module, a state recognition module, a drug intervention effect evaluation module, a decision recommendation module and a system visualization module. According to the system, continuous integration of clinical scattered data is realized by constructing a unified time sequence structure of multi-source detection indexes and medication records; generating a blood coagulation state vector containing the bleeding risk and the thrombus risk through a state recognition mechanism combining rule judgment and data calculation, outputting a confidence score and an index contribution degree, and forming a state track evolving along with time; performing causal evaluation on the difference of the state change before and after intervention to obtain a drug average treatment effect; and individualized drug suggestion or early warning information is generated based on the state track and the intervention effect. And dynamic evaluation and drug intervention measurement and calculation of the blood coagulation risk are realized.

The invention discloses a drug combination patent intelligent identification method and device based on a large language model, and the method comprises the steps: obtaining a standard data set built based on drug combination labeling information of patent data, carrying out the data expansion of the standard data set, and generating an initial training set; a parameter efficient fine tuning technology is adopted, the initial training set is utilized to train the base large language model, and an initial recognition model is generated; screening and identifying difficult samples in the unlabeled patent data by using the initial identification model, and adding the difficult samples into the initial training set to form an enhanced training set; performing iterative training on the initial recognition model by using the enhanced training set and adopting a multi-task learning framework in combination with a comparative learning mechanism to obtain a drug combination patent recognition model; the to-be-recognized patent data is input to the drug combination patent recognition model, and a drug combination information recognition result is obtained.The accuracy, data efficiency and model interpretability of drug combination patent recognition can be remarkably improved, and the computing resource requirement and the manual review cost are reduced.

The invention discloses an intelligent decision-making method for a cerebral ischemia drug administration time window, and relates to the technical field of intelligent decision-making. The method comprises the following steps: S1, acquiring parameters, and setting a cerebral ischemia drug configuration scheme; s2, extracting a medicine characteristic parameter set and a medicine taking influence parameter set; s3, calculating a drug combination risk parameter set; s4, performing hierarchical classification processing on the drug combination risk parameter set, and performing drug correlation analysis; s5, performing weighted fusion on a correlation analysis result in combination with a drug influence attenuation rule, generating a drug administration time window evaluation parameter, and adding a label; and S6, according to the parameters, the labels and the configuration scheme, generating a cerebral ischemia drug administration time window intelligent decision scheme, and performing storage and backup. According to the method, by combining directional extraction of the drug characteristic parameter set and the drug taking influence parameter set with Pearson correlation algorithm screening, decision errors caused by data deviation are avoided.

The invention discloses a computer-aided drug screening method, system or device based on FBXO2 and PKM2. The invention provides a brand-new method, system or equipment for screening oral squamous cell carcinoma treatment drugs based on FBXO2 and PKM2, provides a tool for new drug development and clinical application for treatment of oral squamous cell carcinoma, and has a wide application prospect.

The present disclosure relates to a medicament delivery device comprising a housing having a proximal end and contains a container of medicament positioned within the housing in a medicament container holder. The medicament container can be dual chambered, for example a pre-filled medicament container having a needle, a dose of medicament and one or more sliding stoppers. The medicament container holder can be configured with a recess or pocket to accommodate the loading of a dual chambered container and interact with an inside surface of the housing to rotationally fix the container holder relative to the housing and the medicament container. A tubular activation member, e.g., a needle cover, is slidably positioned within a housing of the delivery device to move from a first position to a second position, and then to a final locked position. A plunger rod can only move proximally relative to the needle cover when the needle cover is in the second position.

The invention relates to the technical field of temperature monitoring, in particular to a severe pneumonia patient body surface temperature distribution monitoring method based on thermal imaging. The method comprises the following steps: solving a dynamic deformation field of the body surface of a patient relative to a standard three-dimensional body surface model through a minimized deformation energy function, and generating an initial monitoring area by using the dynamic deformation field and an internal parameter matrix of a thermal imager; an active contour model is adopted to optimize the boundary of the initial monitoring area, and a self-adaptive optimization monitoring area matched with the current temperature distribution characteristics is generated; if the credibility of the temperature feature vector is low, the temperature feature vector is compensated in combination with vascular active drug infusion information, and a pathophysiological residual feature sequence is obtained. According to the method, an initial monitoring area capable of tracking a target anatomical structure in real time is generated, the spatial consistency and anatomical accuracy of data acquisition are ensured, and a temperature feature sequence for precise time sequence analysis can be generated.

The invention provides a medication monitoring device and a medication monitoring method, relates to the field of medical apparatuses and instruments, and solves the technical problem that whether a capsule rotates to release medicines or not is difficult to monitor in a capsule type dry powder inhalation used in a transversely placed inhaler. The medication monitoring device comprises a shell and a photoelectric sensor, the photoelectric sensor is arranged on the shell, and a light path of the photoelectric sensor is configured to penetrate through the air inlet of the inhaler and the medicine bin, so that the rotation state of the capsule in the medicine bin is judged by detecting the change of the light path; the photoelectric sensor and the air inlet of the inhaler are arranged in a spaced mode in space so as to allow the inlet air flow to pass through. The rotation state of the capsule in the medicine bin is judged by detecting the change of the light path, whether the capsule rotates or not can be directly monitored, the problems that in the prior art, whether the capsule rotates or not cannot be known, and medicine taking failure caused by improper posture of the capsule cannot be judged are solved, effectiveness of medicine taking monitoring is ensured, and medicine taking guidance is facilitated.

The invention belongs to the technical field of artificial intelligence algorithm and bioinformatics crossing, and relates to a drug interaction prediction method based on multi-modal molecular characterization. According to the method, through the edge perception GCNII architecture and the Hop2Token multi-hop coding mechanism, effective modeling of atomic-level and bond-level local environments and a cross-substructure high-order dependency relationship in drug molecules is realized, and the accuracy and robustness of drug interaction prediction are improved. According to the method, Mol2Vec and MolT5 cross-modal molecular characterization is integrated, fusion of molecular overall semantics and substructure grammar semantic association is achieved, and the generalization ability of the model to complex molecules and unknown medicine combinations is remarkably improved. According to the method, the dynamic feature screening algorithm driven by the SHAP value of the artificial intelligence technology is adopted for biological verification, the feature redundancy problem is effectively solved, the molecular biological information analysis processing calculation efficiency and the model transparency are improved, and the traceability of the prediction process is guaranteed.

The invention discloses injectable double-drug delivery hydrogel and a preparation method thereof, and belongs to the technical field of biomedical materials. According to the method, two nano microspheres with different charges are respectively prepared by utilizing the characteristics of A-type gelatin and B-type gelatin, a negatively charged medicine EGCG is specifically carried by the positively charged A-type gelatin, and a positively charged medicine SAG is carried by the negatively charged B-type gelatin microsphere; and finally, mixing the two gelatin drug-loaded microspheres into a material taking gelatin and zirconium ions as a substrate to form the composite hydrogel. The hydrogel realizes immune regulation and osteogenesis regulation, also realizes long-acting release of the two drugs, effectively solves the problems of bone resorption, difficulty in healing and the like of host tissues through synergistic regulation of inflammation and mobilization of osteogenesis genes, realizes personalized treatment, and improves the clinical treatment effect and efficiency.

The utility model provides a precise delivery device for delivering drug aerosol. Wherein the precise delivery device for delivering a drug aerosol comprises: a housing sized and shaped to be graspable in a hand of a user; the medicine bomb assembly can atomize a set dose of medicine into aerosol, and an aerosol channel used for conveying the aerosol is formed in the medicine bomb assembly; a flow generator for generating a positive pressure gas flow that delivers the aerosol to the respiratory tract; the control unit is used for receiving an operation instruction and driving the medicine bomb assembly to output aerosol of medicine and the flow generator to generate positive pressure airflow; wherein the cartridge assembly, the flow generator and the control unit are all received in the shell. The utility model has the beneficial effects of small and exquisite structure, easiness in carrying, convenience in use and capability of accurately dosing.

The invention discloses application of a target protein circPIAS1-108aa inhibitor combined with oxaliplatin in preparation of a medicine synergistic composition for treating cancers, the specific action mechanism of circPIAS1-108aa in colon cancer treatment is found for the first time, and further research shows that by using siRNA to knock down circPIAS1-108aa, colon cancer cell proliferation can be remarkably inhibited, and the effect of treating the colon cancer can be achieved. Furthermore, the target spot protein circPIAS1-108aa inhibitor can be used for enhancing the treatment effect of the oxaliplatin. Therefore, when the circPIAS1-108aa expression is inhibited in a targeted manner and the oxaliplatin is combined for use, the circPIAS1-108aa can be obviously used for preventing and treating cancers, the dosage and toxic and side effects of the oxaliplatin are reduced, and a new synergistic strategy is provided for tumor treatment.

The invention relates to injectable temperature-sensitive hydrogel loaded with traditional Chinese medicine active exosomes, and belongs to the technical field of clinical treatment of diabetic foot refractory wounds, and the injectable temperature-sensitive hydrogel is obtained by poloxamer 407 hydrogel and a hyaluronic acid loaded composite carrier; the composite carrier body is formed by coating a traditional Chinese medicine active exosome with a coating solution; the traditional Chinese medicine active exosome is obtained by inducing adipose-derived mesenchymal stem cells with a modified astragalus extract. The injectable temperature-sensitive hydrogel is obtained by loading a composite carrier with poloxamer 407 hydrogel and hyaluronic acid, the poloxamer 407 and the hyaluronic acid quickly form a physical barrier on a wound surface after being injected, a moist healing environment is provided, and continuous and slow release of exosome and active ingredients is realized by means of the temperature-sensitive characteristic and the network structure of the poloxamer 407 and the hyaluronic acid, so that the wound healing effect is improved. And over-high local concentration or premature loss caused by sudden release of the medicine is avoided.

A method for dosing sterile syringes with medicinal products includes arranging syringes in a syringe nest and the syringe nest in a device with a cover, sterilizing the syringes, loading the devices with the syringes in a dispensing system, and uncovering, dosing and covering the syringes by a dosing system in the presence of a laminar flow. The device allows the nests to be sterilized and the cover protects the inside of the syringes from suspended particulates.

The invention relates to the technical field of data processing, in particular to a multichannel medicine collaborative intelligent infusion system for the department of cardiology. The system determines the clinical similarity according to the clinical feature index of the current object and the clinical feature index of each historical object; determining the historical cases with the clinical similarity exceeding a first threshold value as a reference historical case set; aiming at each historical case in the reference historical case set; according to the real-time physiological monitoring data in the current time period, the physiological monitoring data of the historical cases in the historical similar time period, and the fluctuation difference between the physiological monitoring data of the historical cases in the historical similar time period and the physiological monitoring data of the historical cases in the next adjacent historical time period; according to the difference between the real-time infusion parameter of the current time period and the infusion parameter of the historical case in the historical similar time period, determining an adjustment weight; weighted fusion is carried out on infusion parameters in historical similar time periods by adjusting weights, target infusion parameters are determined, and therefore it is ensured that the target infusion parameters are fused with the quintessence of historical optimal cases.

The invention discloses design and synthesis of a series of brain-targeted ginsenoside Rg1 derivatives and application of the brain-targeted ginsenoside Rg1 derivatives in treatment of Alzheimer's disease. According to the invention, ginsenoside Rg1 and polyethylene glycol with a specific chain length are covalently linked to successfully construct the derivative capable of enhancing the penetrating power of the blood-brain barrier. The series of derivatives provided by the invention not only solve the problems of poor brain targeting and insufficient stability of natural Rg1, but also can inhibit neuroinflammation by regulating and controlling an NLRP3 / caspase-1 signal channel in an LPS-induced neuroinflammation model, and finally, the learning and memory ability is remarkably improved. The product is simple and convenient in preparation process and good in biological safety, and a new candidate compound is provided for developing a new generation of Alzheimer disease treatment medicines.

The invention provides a diversity maintenance and deduplication screening method and system for drug candidate molecules of a drug-loaded corneal contact lens, and relates to the technical field of artificial intelligence and candidate molecule generation and screening. The method comprises the steps that after density perception screening, evolutionary memory comparison, gradient sensitivity evaluation and non-dominated sorting screening are sequentially carried out on a pre-obtained original candidate molecular solution set, candidate molecular solutions are reserved as an optimized candidate subset of a current iteration period and used for participating in subsequent fitness reevaluation and updating of next-generation generator parameters; and repeating the above process until a preset number of loop iterations is reached, and then stopping. According to the method, a quadruple cooperation mechanism of density perception, evolutionary memory, gradient sensitivity and non-dominated sorting is constructed, so that adaptive screening and diversity maintenance of a candidate molecular solution set in an iteration process are realized, and the problems of insufficient exploration and local optimum caused by candidate convergence in the prior art are effectively solved.

The invention provides a drug inventory dynamic monitoring method and system based on edge calculation. The drug inventory dynamic monitoring method comprises the steps that drug parameters and environment data of all intelligent drug cabinets and warehouse areas and biological characteristics of operators are collected; determining a behavior log of the operator according to the operation action and the medicine change data, and generating a digital signature of the operator through the biological characteristics; constructing lightweight block chain nodes of the intelligent medicine cabinets and the warehouse areas, and packaging and chaining behavior logs and digital signatures through inter-node consensus of all the block chain nodes to generate an operation voucher; according to the average compliance rate and the operation voucher, carrying out trust evaluation on the compliance condition during operation to obtain a trust score; and comparing the trust score with a trust threshold, and if the trust score is lower than the trust threshold, locking the high-risk drug operation authority of the operator. By adopting the scheme of the invention, real-time credible evidence storage and dynamic evaluation can be carried out through behaviors of an operator, so that timely interception and early warning of high-risk medicine operation are realized.