1550 results about "Drug efficiency" patented technology

The invention discloses a multi-modal fusion-based traditional Chinese medicine recommendation method, system and device and a medium, and the method comprises the steps: constructing a heterogeneous graph according to a core representative object and preprocessed traditional Chinese medicine multi-modal data; inputting the heterogeneous graph into a graph neural network for data fusion to obtain traditional Chinese medicine multi-modal fusion data; constructing a knowledge graph based on the traditional Chinese medicine multi-modal fusion data to obtain a traditional Chinese medicine knowledge graph; segmenting the traditional Chinese medicine knowledge graph into sub-graphs processed by multiple agents according to the drug effect and the drug use safety, and obtaining a medicinal material sub-graph associated with a drug effect agent and a safety sub-graph associated with a safety agent; based on the medicinal material sub-graph and the safety sub-graph, collaborative iteration optimization is carried out through a medicinal material combination strategy and a medicinal material safety checking strategy to select medicinal materials, and an optimal compound recommended by the traditional Chinese medicine is obtained; and inputting the optimal compound into the fine-tuned large language model, and determining a target compound recommended by the traditional Chinese medicine. The accuracy of traditional Chinese medicine recommendation can be improved.

The invention discloses a sewage denitrification dosing method and system based on machine learning and a storage medium, and belongs to the technical field of sewage treatment.The method includes the steps that data are collected and preprocessed, and variable data influencing biochemical pool carbon source dosing behaviors are obtained; and lagging influence of carbon source input on the denitrification amount index is analyzed, and the duration time range of the drug effect is determined. And adopting the trained prediction model, and based on the denitrification amount index and the prediction variable of the future t + X period, obtaining the dosage of the (t + 1) th period. Through a correlation analysis method, the correlation rule of nitrogen conversion in the future X period after the carbon source is added is analyzed, the duration time of the drug effect is determined, the lag effect is accurately quantified, and the problem of mismatching of regulation and control opportunities is avoided. The hysteresis effect is captured and subjected to multi-factor coupling analysis based on the prediction model, the carbon source adding amount and time are optimized, system load fluctuation caused by excessive carbon sources or incomplete nitrogen removal caused by insufficient carbon sources are avoided, and the stability of an original sewage ecological system is gradually improved.

The invention discloses an optimization analysis system for simulating an anesthesia process, relates to the technical field of anesthesia simulation optimization analysis, and is used for solving the problem of inaccurate anesthesia individualized simulation decision. By constructing an anesthesia simulation system fusing a pharmacokinetic and pharmacodynamic model and a physiological coupling model, dynamic process simulation under individual physiological states and operative characteristics is realized, state evolution trajectories of an induction period, a maintenance period and a resuscitation period can be accurately deduced, and by introducing deep learning calculation and stage continuity constraints, the accuracy of the state evolution trajectories of the induction period, the maintenance period and the resuscitation period is improved. The method comprises the following steps of: establishing a multi-path drug delivery and ventilation strategy, setting a risk-efficiency scoring function, completing state tracking and index evaluation of the whole process, generating a strategy scoring set with confidence information, further supporting an abnormal probability judgment and risk triggering mechanism by the system, and outputting key monitoring parameters and coping strategies, so as to improve the simulation accuracy and stability; therefore, closed-loop control of strategy optimization and risk early warning is realized, and the credibility of the anaesthesia simulation process is improved.

The invention belongs to the technical field of traditional Chinese medicines, and particularly relates to a traditional Chinese medicine prescription efficacy quantification method and system.The method comprises the steps that chemical component spectrums, pharmacodynamic substance contents and biological activity indexes of traditional Chinese medicines forming a prescription are obtained; constructing a multi-target regulation and control network by combining a traditional Chinese medicine-target interaction database according to the chemical component spectrum, the pharmacodynamic substance content and the biological activity index, identifying a core efficacy pathway cluster by adopting a Louvain algorithm, and calculating a pathway activation intensity value by adopting a pathway target membership weighting model; according to the core efficacy pathway cluster, establishing a mapping relation between the core efficacy pathway cluster and traditional Chinese medicine efficacy terms through ontology and semantic mapping, and according to pathway activation intensity values, generating a prescription efficacy intensity vector through a weighted aggregation model; according to the efficacy intensity vector of the prescription, verifying and correcting the network weight through an in-vitro cell model, and generating the efficacy quantification of the prescription in combination with the clinical syndrome calibration coefficient. Therefore, the problems of single data dimension and insufficient quantification result accuracy in the prior art are solved.

The invention discloses a traditional Chinese medicine decoction piece finished product quality detection and analysis method and system, and belongs to the field of medicines.The method comprises the steps that S1, a compound component database is built, the database integrates pharmacopoeia standards, clinical composition structures, medicinal material source attributes and pharmacodynamic related parameters, and a standard model is built in a multi-level structuring mode; s2, collecting multi-modal map data of the traditional Chinese medicine decoction piece samples; s3, encoding the collected atlas data by adopting a heterogeneous feature extraction algorithm to generate a fusion structure feature vector; s4, inputting the fusion structure feature vector into a multi-channel evaluation model, and carrying out weight comparison, classification judgment and threshold evaluation; and S5, generating a quality detection report. The method has the beneficial effects that high-precision quality detection combining multi-modal fusion, intelligent discrimination and traceability visualization is realized, and the quality consistency evaluation and risk identification capability of the traditional Chinese medicine decoction pieces is effectively improved.

The invention provides a composition capable of penetrating an intestinal barrier by oral administration. The composition contains a carrier or an auxiliary material of a targeted Microflod cell Dectin-1 receptor, and one or / and a plurality of medicinal components / components, wherein the carrier or the auxiliary material of the target Microflood cell Dectin-1 receptor is beta-glucan, and the carrier or the auxiliary material of the target Microflood cell Dectin-1 receptor is beta-glucan. The effective components / components are traditional Chinese medicine effective components / components, or / and probiotics, or / and chemical medicine components, or / and biological medicines. The invention relates to a composition capable of realizing oral administration and penetrating through an intestinal barrier, which is based on the discovery of the inventor that the composition reaches colon through gastrointestinal tracts, targets colon Microflood cells, is taken by the Microflood cells, penetrates through the intestinal barrier and enters immune tissue Colonic Patches of a colon submucosa. Based on the research, the composition disclosed by the invention can be used for treating various diseases, such as ulcerative colitis, Crohn's disease, colon cancer, rheumatoid arthritis or bacterial pneumonia after being orally taken and absorbed by rectum.

The invention relates to the technical field of medicine analysis, in particular to a traditional Chinese medicine raw material quality monitoring and analyzing method which comprises the following steps: merging a fluctuation direction consistent interval based on storage environment data, extracting a component extraction rate identification trend value, screening a concentration and impurity change overlapping section to generate an abnormal batch index; tracking a humidity and drug effect deviation section clustering early warning interval, and analyzing grade label fluctuation to judge a quality stability list. According to the method, temperature and humidity light data sampled at equal intervals are merged into a direction consistent interval, the environmental influence stability is dynamically defined, the accuracy of a quality analysis starting point is enhanced, the concentration difference and duration are quantified in combination with the extraction rate fluctuation trend, the component change recognizability is improved, the concentration and impurity fluctuation are overlapped, a pointer list is constructed, and sampling distribution is fused; and batch abnormity positioning is enhanced, a quality label change path and a mutation point are analyzed, a multi-source data stability logic chain is reconstructed, and the efficiency and accuracy of traditional Chinese medicine raw material quality screening are remarkably improved.

The invention provides a ziconotide nasal-brain delivery preparation which is high in brain targeting, safe and noninvasive and directly enters the brain through nasal administration. The nasal-brain delivery preparation comprises an active component ziconotide and an absorption enhancer, wherein the absorption enhancer is selected from one or more of dodecyl-beta-D-maltoside (DDM), menthol, hydroxypropyl-beta-cyclodextrin (HP-beta-CD), sodium glycocholate (SGC) and related derivatives thereof. The absorption enhancer with a specific type and content and the ziconotide cooperate and act together, so that the ziconotide bypasses a blood brain barrier, enters the brain through a nasal olfactory mucous membrane, forms a medicine storage bank in an olfactory bulb, is slowly released to the brain and keeps a long-term medicine effect, and therefore, a traditional ziconotide intrathecal administration mode is abandoned; the ziconotide nasal-brain administration mode is created, and the ziconotide nasal-brain administration method is a new-generation therapy for pain diseases related to the central nervous system.

In a small molecule drug discovery method, a transition state for a specific enzyme is modelled using quantum mechanics and molecular dynamics based simulation of the enzyme and substrate reaction; data defining the transition state (a ‘quantum pharmacophore’) is fed to a machine learning engine configured to generate transition state analogues, such as enzyme inhibitors.

The invention discloses a preparation method and application of silymarin spray curing nano-carrier powder, and relates to the technical field of medicines and the field of foods. The method comprises the following steps: firstly, constructing a silymarin-carrier compound through a molecular self-assembly technology, and then, carrying out curing treatment on a nano-carrier by adopting a spray drying technology, so as to obtain nano-powder with good flowability. According to the preparation method disclosed by the invention, the silymarin spray curing nano-carrier powder with a core-shell structure is successfully prepared by optimizing a carrier material ratio and spray drying conditions. Experimental results show that the spray-cured nano-carrier powder prepared by the method significantly improves the solubility and stability of silymarin, and enhances the bioavailability and efficacy, so that silymarin can be more efficiently absorbed and released in a targeted manner in vivo, thereby significantly improving the therapeutic effect.

The invention provides a whole-process targeting polypeptide, a drug compound thereof, a drug delivery system and application of the whole-process targeting polypeptide. The whole-process targeting polypeptide comprises pHA and VAP which are covalently connected through a bridging structure; the VAP is LVAP, a reverse sequence polypeptide of the LVAP, DVAP or SVAP; wherein the amino acid sequence of the LVAP is as shown in SEQ ID NO: 1; the SVAP is a D-configuration polypeptide of the LVAP; the DVAP is a D-configuration polypeptide of the LVAP inverted sequence polypeptide; the bridging structure is amino-monoethylene glycol-carboxylic acid or a derivative thereof. The whole-process targeting polypeptide not only can cross a blood-brain barrier, target tumor neovascularization, cross a blood-tumor barrier, target tumor mimicry vessels, tumor cells and stem cells thereof, but also has better tumor cell affinity, anti-tumor treatment and in-vivo safety effects. Meanwhile, the drug compound or the drug delivery system has a synergistic effect after being combined with a chemotherapeutic drug, and the anti-tumor drug effect can be remarkably improved.

The invention discloses an anesthesia strategy generation system fusing time sequence data and a knowledge graph, and relates to the technical field of medical information processing. The method specifically comprises the steps that five types of vital sign data including arterial blood pressure, electrocardio and electroencephalogram are collected, correction is conducted in combination with traction marks and electrotome interference characteristics, and an analysis result is output; the inference analysis module executes double-track processing based on the analysis value, one track evaluates cortical suppression, shock and ventilation risks and generates a risk report, and the other track performs reverse arbitration when the blood oxygen data is abnormal; constructing a knowledge graph fusing the efficacy nonlinear cooperation equation, the age sensitive parameters and the drug administration sequence influence; and the strategy generation module integrates the multi-source data to generate a drug execution track, and executes fast and slow closed-loop regulation and control based on a risk report and an arbitration result. According to the invention, the adaptation capability of the system to individual differences, the abnormal signal identification and processing capability and the intelligent response level of the anesthesia strategy are improved, and the accuracy and safety of clinical anesthesia are significantly enhanced.

The invention discloses a zinc polyphenol complex suppository as well as a preparation method and application thereof. The preparation process mainly comprises two steps as follows: a, preparation of EGCG-Zn metal polyphenol complex nanoparticles; and b, preparing the nano complex suppository. The method is simple in process, green, environment-friendly and suitable for large-scale preparation. The prepared EGCG-Zn nanoparticles are uniform in particle size and good in stability, and have good antioxidant, anti-inflammatory and tissue repair activity based on a complex network structure formed by self-assembly of EGCG and zinc ions. The nano-particles are firstly treated by adopting a drug pretreatment carrier and then loaded in a suppository matrix to construct a rectal administration type nano-suppository, so that targeted and continuous local drug effect release can be realized. In intervention of radioactive intestinal injury, the suppository not only can relieve oxidative stress and inflammatory response, but also can promote regeneration and repair of intestinal mucosa, and has good treatment potential and clinical application prospect.

The invention relates to a deep learning method-based pharmacokinetics-pharmacodynamics and reinforcement learning-based propofol administration method and application thereof, a PKPD model is used for simulating the metabolic process of propofol in a human body, and a time dependency relationship and dynamics continuous information are extracted through LSTM and Neural OED; then a nonlinear relation between the propofol drug effect concentration and a clinically observed anesthesia depth index BIS is established through a Kan network, mapping between monitoring information and the anesthesia depth in an operation is rapidly established, a strategy is adjusted in time according to environment changes, and the method is suitable for processing non-standardized complex problems and has good application prospects. And the dosage and the administration scheme of the medicine are individually adjusted, so that the treatment effect is improved.

The invention belongs to the technical field of pharmaceutical preparations, and particularly relates to a meloabalin besylate double-release preparation and a preparation method thereof. Comprising a quick-release pellet and a sustained-release pellet, and the quick-release pellet and the sustained-release pellet are wrapped in a hollow capsule; the quick-release pellet comprises a quick-release blank pellet core, a quick-release drug layer and a quick-release film coating layer; the sustained-release pellet comprises a sustained-release blank pellet core, a sustained-release drug layer, a sustained-release layer and a sustained-release film coating layer. According to the invention, the stable blood concentration is obtained while the medicine effect takes effect quickly, the medicine taking frequency is reduced, convenience is brought to patients, and the compliance is improved. The invention also provides a preparation method thereof.

The invention provides a dynamic medication dosage optimization method fused with reinforcement learning. The method comprises the following steps: acquiring a first physiological index parameter of a target patient; obtaining a first diagnosis report of the target patient, wherein the first diagnosis report comprises basic information of the target patient and first disease information of the target patient; the first disease information comprises a first disease type and first disease description information; determining a first reinforcement learning algorithm corresponding to the first disease type; determining a first control parameter of the first reinforcement learning algorithm according to the first physiological index parameter and the basic information; and performing operation on the first disease description information through the first reinforcement learning algorithm and the first control parameter to obtain a first medication dosage parameter. Based on the application, the drug effect can be consistent with the physical condition of a patient, and poor drug effect and excessive side effects caused by too strong drug effect are avoided.

The invention relates to the technical field of medicine formulas, in particular to a fluralamide moxidectin composite drop and a preparation process thereof. The invention relates to a fluralan-moxidectin emulsion which is prepared from the following raw materials in percentage by mass: 26 to 30 percent of fluralan, 1.1 to 1.7 percent of moxidectin, 32 to 36 percent of solvent, 0.1 to 0.3 percent of butylated hydroxytoluene, 10 to 16 percent of polymer carrier and the balance of tetrahydrofuran polyethylene glycol ether. The coexisting drug is stabilized through the core-shell structure polymer carrier, phase separation is prevented, a neutral environment is maintained, long-acting stability is ensured, the transdermal absorption rate is optimized, skin irritation is reduced, and the synergistic drug effect is improved. Meanwhile, the slow release period of the medicine is prolonged, the metabolic interference and accumulated toxicity are reduced, and the dissolution efficiency and the skin mildness are both considered.

The invention discloses a rehmannia processing synergistic intelligent control system based on an artificial intelligence large model, and belongs to the technical field of traditional Chinese medicine processing intelligent control. The system comprises a data acquisition module, a data transmission module, a rehmannia processing synergistic large model processing module, an intelligent control module and a man-machine interaction module. The data acquisition module is used for acquiring multi-source data such as temperature, humidity, pressure, moisture content and morphological characteristics in the processing process by using various sensors; the data transmission module realizes the transmission of the acquired data from the sensor to the large model processing module; the large model processing module deeply excavates a component-process-drug effect coupling relationship through data preprocessing, feature extraction, model training and SFT fine tuning control, and intelligently generates recommended process parameters; the intelligent control module accurately regulates and controls the processing equipment according to the process parameters output by the large model; the man-machine interaction module provides an operation and monitoring interface. The operation process of the system comprises the steps of starting, data acquisition, intelligent recommendation of the processing technology, transmission of the processing technology to the processing equipment, execution of the processing technology by the processing equipment and ending of operation. The processing quality stability and the production intelligence level are improved, the core component content of processed rehmannia can be effectively improved, and the problems that a traditional rehmannia processing flow depends on artificial experience, and the quality of processed products is unstable are solved.

The invention discloses an intelligent atomization control method and system for respiratory tract treatment and a storage medium, and relates to the technical field of atomization control. During operation of the system, a multi-mode patient respiratory behavior monitoring module is used for capturing real-time respiratory frequency, depth, rhythm, cough characteristics and atomization efficacy based on a non-contact sonic sensor and lung sound analysis; the method comprises the following steps: monitoring environment humidity, temperature and aerosol diffusion rate in real time, analyzing the influence of the environment humidity, temperature and aerosol diffusion rate on drug mist particle size and sedimentation behavior, controlling atomization particle size through a variable-frequency ultrasonic exciter, calculating to obtain an intelligent atomization curative effect adaptation index AEAI, dynamically adjusting particle size distribution according to the real-time inhalation demand of a patient and environment parameters, and combining with respiration monitoring data to obtain the intelligent atomization curative effect adaptation index AEAI. According to the method, the medicine mist release opportunity is adjusted in real time, threshold value comparison is carried out by monitoring respiratory resistance changes and real-time feedback of lung sound characteristic improvement degree, a medicine release strategy is obtained, and remote doctor viewing and parameter adjusting functions are provided.

The invention discloses a construction method of a gout compound decoction fingerprint as well as the fingerprint and application thereof, and belongs to the technical field of analysis and detection. The construction method of the fingerprint spectrum comprises the following steps: taking a test solution prepared from the gout compound decoction; the test solution is subjected to HPLC-SPD detection, so that the fingerprint spectrum of the gout compound decoction is obtained, and the HPLC detection conditions are that a C18 chromatographic column is used, a C18 chromatographic column is used, a C18 chromatographic column is used, a C18 chromatographic column is used, and a C18 chromatographic column is used for detecting the fingerprint spectrum of the gout compound decoction. An aqueous solution containing 0.1%-0.2% of phosphoric acid is used as a mobile phase A, and acetonitrile is used as a mobile phase B for gradient elution; the flow velocity is 0.8-1 mL / min, the column temperature is 25 DEG C, the sample injection volume is 5-10 [mu] L, and a diode array detector is 190-400 nm full-wave band scanning. The chemical components in the gout compound decoction are comprehensively and systematically analyzed, and a basis is provided for quality control and in-depth study of a pharmacodynamic material basis.

The invention discloses a copper ion complex based on a protein template as well as a preparation method and application of the copper ion complex. The copper ion complex takes a protein template as a carrier, and is obtained by in-situ complexing Cu < 2 + > with a copper ion carrier; the preparation method is a one-step green synthesis technology, mild synthesis conditions not only avoid the use of an organic solvent, but also do not need large-scale instruments and the like, so that the synthesis cost is greatly saved, and the formed copper ion complex has the advantages of high drug effect, small toxic and side effects, lasting effect, good stability and the like, and is suitable for industrial production. The problems that an existing copper ion complex is poor in solubility and low in bioavailability are solved, and the copper ion complex is applied to preparation of anti-tumor and / or antibacterial drugs and has extremely high anti-tumor and antibacterial activity.

The invention relates to the technical field of traditional Chinese medicine research, in particular to a discovery method of a cough relieving and phlegm eliminating quality marker of cough relieving granules and the quality marker. According to the application, the cough-relieving and phlegm-eliminating drug effects of the cough-relieving granules are evaluated by virtue of concentrated ammonia water cough inducing and phenol red excretion tests, plasma pharmaceutical chemistry research of the cough-relieving granules is developed by virtue of a UHPLC-Q-Exactive Plus Orbitrap HRMS technology, and 26 prototype blood-entering components of the cough-relieving granules are analyzed and identified; through network pharmacological analysis of components entering blood, 11 potential active components for relieving cough and eliminating phlegm of the cough-relieving granules are screened, relate to 40 common targets such as IL6, TLR4, STAT3 and the like, and mainly participate in signal channels such as PI3K-Akt, HIF-1, EGFR (epidermal growth factor receptor) and the like; the seven prototype blood-entering components are quantitatively analyzed by utilizing pharmacokinetics. The three compounds of azelaic acid, caffeic acid and vanillin are used as the cough relieving and phlegm eliminating quality markers of the cough relieving granules through effectiveness, transitivity and testability. The research result is of great significance in deeply defining the pharmacodynamic material basis of the cough-relieving granules, optimizing the quality standard and promoting the clinical application of the cough-relieving granules.

The invention relates to the technical field of biological medicines, in particular to a substituted zoritinib derivative as well as a preparation method and application thereof. Specifically, the invention provides a substituted zoritinib derivative as shown in a general formula (I) or a pharmaceutically acceptable salt or solvate thereof. Wherein R1, R2 and R3 are independently selected from methyl, methoxyl, halogen substituted methyl, halogen substituted methoxyl, deuterium atom substituted methyl and deuterium atom substituted methoxyl. According to the present invention, the structure of the prototype drug is modified to obtain the substituted zoritinib derivative, the stability and the drug effect of the obtained substituted zoritinib derivative are superior to those of AZD3759, and the in-vivo generation concentration of the main active metabolite AZ' 1168 causing the adverse reaction can be reduced. The invention also accidentally finds that when the substituted zoritinib derivative is combined with a CYP3A inhibitor, the inhibition rate of inhibiting prototype drug metabolism can be obviously improved. # imgabs0 #

The invention discloses an application of core proteoglycan or a coding gene thereof as a target spot in preparation of psoriasis treatment drugs, and a series of experiments prove that DCN can effectively protect mouse psoriasis-like dermatitis induced by imiquimod, improve skin scale, erythema, thickening and epidermal abnormal differentiation, enhance the barrier function of skin, improve the curative effect of psoriasis, and improve the curative effect of psoriasis. A large amount of infiltration of inflammatory cells is reduced, and a certain anti-inflammatory effect is achieved. Experimental research shows that the DCN has an obvious drug effect on a psoriasis model, is safe and efficient, has no side effect, is simple in production process and has the potential of realizing medical transformation. And the potential application value of the DCN on other various skin inflammatory diseases can be expanded.

The invention belongs to the technical field of anesthesia depth regulation and control, and particularly relates to an anesthesia depth self-adaptive regulation and control method and system based on a dynamic time sequence model, and the system comprises a portable computer which is used for operating a program, receiving electroencephalogram time sequence data output by a signal collection device, receiving a pressing event of a handle, and obtaining efficacy information of an effect part; a channel gating result is generated based on the information and used for conducting category division on a drug administration adjustment request, gating is conducted through a shared code LSTM and a two-channel LSTM head and an effect room concentration vector and a hysteresis band, the problem of rhythm dislocation caused by exponential smoothing lag and induction-waking asymmetry is solved, mistaken up-regulation or mistaken down-regulation and overshoot are reduced, and the accuracy of drug administration adjustment is improved. And the adjustment convergence time is shortened, so that the anesthesia depth is more stably maintained in a target interval.

The invention discloses a novel PARP / CK2 double-target kinase inhibitor small molecule as well as a pharmaceutical composition and application thereof, the small molecule takes benzofuran pyrimidone as a parent drug effect ring and a benzene ring as a connector in drug design, and is coupled with a 1-amino-2-methylisothiourea group, so that the novel PARP / CK2 double-target kinase inhibitor is obtained. The compound has good inhibitory activity on exogenous PARP enzyme, exogenous CK2 alpha enzyme and proliferation activity of various cancer cells, and can be used for preparing antitumor drugs. # imgabs0 #

The invention provides a large and small model collaborative traditional Chinese medicine prescription optimization method and system, a terminal and a storage medium, and the method comprises the steps: firstly determining a prescription needing to be optimized, sorting related public literatures into an input document, constructing a local prescription knowledge base, and carrying out question answering based on a prescription optimization large language model to obtain a large model optimization prescription; then, determining related pathway targets of applicable symptoms in the prescription needing to be optimized, collecting chemical substances in the prescription needing to be optimized to obtain a prediction result of a pharmacodynamic substance level, performing medicinal material tracing analysis on the prediction result, optimizing prescription composition based on pharmacodynamic substance weight to obtain a small model optimized prescription, and determining the pharmacodynamic substance weight based on the small model optimized prescription. And performing comprehensive analysis based on the large model optimization prescription and the small model optimization prescription to generate final prescription optimization recommendation. The efficient traditional Chinese medicine prescription composition optimization method is constructed from the macroscopic level and the microscopic level, and the scientificity and the practicability of prescription optimization can be improved.

The invention relates to the technical field of medicine data analysis, in particular to a method, a system and equipment for generating a medicine relocation research report and a medium. According to the method for generating the drug relocation research report, a drug relocation request submitted by a pharmaceutical enterprise is decomposed into three sub-tasks of indication extension analysis, target matching analysis and drug effect simulation verification, and an indication extension analysis agent, a target matching analysis agent and a drug effect simulation verification agent are called respectively; the contribution value of each link is calculated through multi-agent cooperation, and finally a relocation research report containing potential rating and confidence evaluation is generated based on the drug-disease knowledge graph. By implementing the technical scheme provided by the invention, the efficiency and reliability of drug relocation analysis are improved, and scientific and credible decision support is provided for pharmaceutical enterprises.

The invention provides a thermo-sensitive block polymer as well as a preparation method and application thereof. The temperature-sensitive block polymer comprises a temperature-sensitive unit, a hydrophilic unit and a pH response unit, the number-average molecular weight of the thermo-sensitive block polymer is 1 * 10 < 3 > g / mol to 2.5 * 10 < 5 > g / mol, preferably 8 * 10 < 3 > g / mol to 2.0 * 10 < 4 > g / mol; molecular weight distribution lt; 1.50, preferably < 1.30. The preparation method comprises the following steps: mixing an RAFT reagent, an initiator, a hydrophilic polymer or a hydrophilic monomer, a temperature-sensitive monomer, a pH response monomer and a solvent, carrying out an active free radical polymerization reaction in a protective gas atmosphere, and carrying out post-treatment on a product to obtain the temperature-sensitive block polymer. The obtained thermo-sensitive block polymer is narrow in molecular weight distribution, the drug release rate is more controllable, and the drug effect is improved.

The present invention provides a binary or ternary complex. The complex can improve the stability of a drug, and in particular, inhibit the transesterification reaction within drug molecules. The complex can also improve the efficacy formulation performance of the drug, improving the safety and effectiveness of the drug.