2064 results about "Drug efficiency" patented technology

The invention relates to an optimized method for medicament preparation. A machine learning model of a deep neural network is adopted to perform screening and combinatorial optimization on active ingredients and auxiliary materials of the medicament, and a relation model among the ingredients, the drug effect and the stability is established; a dynamic blending module is adopted to adjust the component proportion and dosage in real time according to different medicament preparation conditions including temperature and pH value; constructing a self-adaptive reaction condition adjusting system, and monitoring reaction conditions including temperature, pressure, pH value and stirring speed in the preparation process in real time; a dynamic mixing system is introduced, and a microfluidic technology is adopted to control metering and mixing of pharmaceutical components; a medicament preparation process is decomposed into a plurality of key steps including primary reaction, purification and concentration, and each step is independently optimized; a real-time quality monitoring system is constructed, and the physical properties, including particle size distribution, solubility and purity, of the medicament are monitored in real time through a sensor and imaging equipment; and optimizing the integration platform in the whole process.

The invention relates to the technical field of physical sign monitoring, in particular to a physical sign parameter monitoring method accompanying the medication process of a severe mental disease patient. According to the method, the dynamic change of the physical sign parameters is captured by acquiring the physical sign parameter time sequence curves of the to-be-monitored patient in the two stages before and after medication. For each time sequence curve, data value differences and fluctuation duration are analyzed, and abnormal fluctuation data segments are identified. Furthermore, a historical normal time sequence curve is utilized to determine a historical normal fluctuation section corresponding to the abnormal fluctuation, and the overall state of the physical sign parameters is visually reflected through comparative analysis and calculation of a stable index. Meanwhile, the physical sign condition of the patient is monitored by combining the stability index of the same physical sign parameter before and after medication and the time sequence characteristics of the abnormal fluctuation data segment. According to the method, the physical sign state of the patient is reflected more accurately by comparing the change of the physical sign parameters of the patient with the historical normal condition, and data support with higher credibility is provided for doctors to carry out medicine effect judgment or illness state analysis.

The invention relates to the technical field of biology, and discloses a chemically modified small nucleic acid drug zero sample prediction method and system based on a large language model and multi-view deep learning. The method comprises the following steps: collecting chemically modified RNA data; performing Token conversion by using an SMILES token regular expression, and performing embedding by using a pre-trained large language model; chemical modification position information is obtained and combined with SMILES in an embedded mode; the RNA sequence is embedded; processing the comprehensive embedded vector by using a self-attention mechanism; fusing RNA sequence embedding and comprehensive embedding by adopting a cross attention mechanism; performing feature extraction and dimension reduction by using a three-dimensional convolutional neural network; and inputting the features into a full-connection layer to predict the drug efficiency. According to the method, high-precision zero-sample prediction of novel chemical modification is realized, the generalization ability and prediction precision of the model are remarkably improved, and a flexible, efficient and accurate method is provided for design and development of RNAi drugs.

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 discloses an intelligent anesthesia drug delivery system and a control method thereof, and the method comprises the steps: obtaining operation information, predicting operation time, predicting operation state stability, determining a drug delivery strategy according to an operation time prediction value and an operation state prediction value, and controlling a vein micro pump based on a collaborative sliding mode control algorithm of an intelligent algorithm. And judging whether the anesthesia scheme needs to be adjusted. According to the method, prediction of the operation time and the operation state is achieved, a mode for objectively selecting anesthesia strategies is provided, anesthesia strategy selection errors caused by artificial omission or insufficient level are avoided, a collaborative sliding mode control algorithm based on an intelligent algorithm is used for controlling the multi-channel vein micro pump, and the operation efficiency is improved. Synergism of multiple drugs during injection is guaranteed, and optimal drug effect synergy is achieved.

The invention relates to a drug delivery carrier based on extracellular vesicles and application thereof.The drug delivery carrier contains extracellular vesicle scaffold protein and recombinant membrane fusion protein, the recombinant membrane fusion protein comprises a first fragment and a second fragment, the amino acid sequence of the first fragment is shown as SEQ ID NO: 5, and the amino acid sequence of the second fragment is shown as SEQ ID NO: 6; the second fragment has n amino acids, the sequence of the second fragment is the sequence of the first n amino acids at the N end of the amino acid sequence as shown in SEQ ID NO: 7, and n is an integer between 50 and 200. According to the drug delivery carrier disclosed by the invention, the efficiency of releasing drug active molecules before reaching lysosome is remarkably improved, and the drug effect of extracellular vesicle drugs can be improved.

The invention discloses a comprehensive detection method for detecting the quality of a traditional Chinese medicine capsule, and relates to the technical field of medicine quality detection.According to the method, the quality fluctuation of a shell can be effectively recognized by monitoring the elasticity modulus of the shell of the capsule in real time and constructing a variable coefficient; and secondly, further monitoring is carried out aiming at capsule filling types and density uniformity, so that the uniformity of medicine filling is ensured, the medicine effect fluctuation caused by non-uniform filling is avoided, and the release consistency of the medicine is improved. And then, based on dissolution rate gradient monitoring under different temperature and pH value conditions, the dissolution characteristics of the capsule in various environments can be comprehensively evaluated, so that the dissolution performance stability of the capsule is guaranteed. And finally, accurately calculating a dissolution stable factor by combining the detection of trace dissolution substances with a dissolution characteristic analysis model, and further optimizing the quality evaluation of the capsules by combining a dissolution rate change coefficient, thereby reducing unqualified batches caused by uneven dissolution.

The invention discloses a traditional Chinese medicine formula generation system based on artificial intelligence, and belongs to the technical field of traditional Chinese medicine formula generation, and the system comprises a user interaction module which is used for obtaining the body data information of a user; the feature extraction module is used for performing feature extraction on the body data information of the user to obtain a feature data set; the intelligent formula engine is used for constructing a neural network and inputting the feature data set into the neural network for calculation to obtain a traditional Chinese medicine formula; and the efficacy prediction module is used for constructing a machine learning model, evaluating the traditional Chinese medicine formula based on the machine learning model, and generating an optimized traditional Chinese medicine formula. According to the artificial intelligence traditional Chinese medicine formula generation system, the whole process operation from user input to formula generation, drug effect prediction, result evaluation and user feedback can be realized, and an efficient and accurate traditional Chinese medicine formula generation service is provided for the user.

The invention discloses a liquid medicine supply device and a using method thereof. The liquid medicine supply device comprises an injection tube, a first piston, a liquid storage bag and a positive displacement pump. The injection tube is provided with a first end and a second end which are opposite, the first end is provided with a medicine adding port and a medicine outlet used for being connected with an infusion tube, a limiting structure used for stopping the piston is arranged at the position, close to the second end, in the injection tube, and a first tube section between the limiting structure and the second end is provided with a first exhaust port capable of being closed. The first piston is arranged in the second pipe section between the limiting structure and the first end, the liquid storage bag is used for storing power liquid, a liquid inlet of the displacement pump is connected with the liquid storage bag through a pipeline, and a liquid outlet of the displacement pump is connected with the first pipe section through a pipeline. The liquid medicine supply device is simple in structure, the production and manufacturing cost is reduced, substances in the liquid medicine can be prevented from being agglomerated when the liquid medicine is conveyed, the influence of the conveying process on the medicine effect is reduced, and in addition, the control precision of the medicine amount can be improved.

The invention belongs to the technical field of drug screening, and provides a multi-target drug screening and optimizing method based on machine learning, which comprises the following steps: S1, carrying out feature screening on compound molecular descriptors by utilizing a machine learning algorithm, and determining the molecular descriptor which has the most significant influence on biological activity; s2, constructing a quantitative structure-activity relation model, and predicting the biological activity of the compound; s3, based on a multi-objective optimization algorithm, combining absorption, distribution, metabolism, excretion and toxicity properties of the compound; according to the method, feature screening is carried out on compound molecule descriptors by utilizing a machine learning algorithm, a QSAR model is constructed to predict the biological activity, ADMET property classification prediction is combined, the biological activity, ADMET properties and pharmacokinetic characteristics of drugs are comprehensively considered, and the accuracy and accuracy of drug activity prediction are improved. The method can efficiently and accurately screen and optimize drug candidate compounds with potential drug effects and good pharmacokinetic characteristics, so that the success rate of drug research and development is increased, and the research and development cost and time are reduced.

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 movable geotextile pipe bag mud dewatering and curing treatment method, and relates to the technical field of sludge treatment.According to the movable geotextile pipe bag mud dewatering and curing treatment method, the adding amount of a flocculating agent is dynamically adjusted according to mud data monitored in real time, and the situation of agent waste or insufficient drug effect caused by a traditional fixed-proportion agent adding mode is avoided; a fuzzy control algorithm is adopted to dynamically adapt to the component change of the slurry, the cost of excessive use of chemicals is reduced, a chemical adding strategy is automatically adjusted, the slurry treatment effect is more stable, meanwhile, a multi-stage chemical adding mode is adopted, a flocculating agent is evenly distributed in the slurry, the flocculating agent can cover large particles and fine particles, and the treatment efficiency is improved. The problem of non-uniform flocculation caused by a single dosing point is improved, the overall efficiency of slurry dehydration is effectively improved by treating slurry with different particle sizes at different stages, and the stirring strength is dynamically adjusted based on slurry flow and particle size parameters, so that a flocculating agent and particles in the slurry are fully mixed, and the flocculation effect is improved.

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 discloses a dependency-free anti-aging sleep-aiding preparation and a preparation method thereof, and relates to the technical field of preparations, the anti-aging sleep-aiding preparation comprises an ellipsoidal shell and an ellipsoidal core wrapped in the ellipsoidal shell, the ellipsoidal core comprises an anti-aging agent layer, a water absorption expansion layer and a sleep-aiding agent layer which are stacked in sequence, the water absorption expansion layer protrudes at the two ends of the ellipsoidal core to form small water diversion columns; small water inlet holes are formed in the two ends of the ellipsoidal shell and are connected with small water diversion columns; a plurality of first release holes and a plurality of second release holes are formed in the circumferential surface of the ellipsoidal shell, the plurality of first release holes lead to the anti-aging agent layer, and the plurality of second release holes lead to the sleep aid layer. Through the special structural design of the ellipsoidal shell and the ellipsoidal core, isolated coexistence of anti-aging and sleep-aiding components and controllable release of the anti-aging and sleep-aiding components are achieved, so that the dual effects of anti-aging and sleep-aiding can be achieved, and it is guaranteed that the drug effect is continuously exerted.

The invention discloses a traditional Chinese medicine curative effect intelligent analysis and prediction platform, and relates to the technical field of traditional Chinese medicine analysis. The intelligent management platform is in communication connection with a data preprocessing and standardization module, a symptom description standardization processing module, a network relation analysis module, a network target positioning module, a network target navigation module, a drug effect prediction and evaluation module and a report generation and output module. According to the traditional Chinese medicine curative effect intelligent analysis and prediction platform, by integrating a machine learning technology, the accuracy of traditional Chinese medicine curative effect evaluation is remarkably improved, a large number of traditional Chinese medicine prescriptions, patient syndromes and curative effect data information are collected and analyzed, and the treatment effects of the traditional Chinese medicine prescriptions on different syndromes are evaluated by combining a network target and an established network relationship; and analysis results of the drug target intervention effect and the synergistic effect are provided, so that the action mechanism of the traditional Chinese medicine prescription can be deeply understood, and the traditional Chinese medicine prescription with a potential curative effect can be quickly screened out.

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 provides a cinnamyl aldehyde drug-loaded self-microemulsion as well as a preparation method and application thereof, and belongs to the technical field of biological pharmacy. The cinnamyl aldehyde drug-loaded self-microemulsion disclosed by the invention is prepared from the following raw materials in parts by weight: 0.5 to 5.5 parts of cinnamyl aldehyde, 0 to 5.5 parts of oil phase, 0.5 to 5.5 parts of emulsifier and 0.01 to 0.045 part of insoluble drug. By adopting the self-microemulsion drug delivery system, the drug effect of the cinnamyl aldehyde and the combination of the cinnamyl aldehyde and other traditional Chinese medicine components is improved, the drug loading capacity is high, dispersion is easy, the stability is high, the drug effect is remarkable after the cinnamyl aldehyde and other traditional Chinese medicine components are combined, and the curative effect is good. The traditional Chinese medicine composition has an improvement effect on hepatic fibrosis, has a remarkable treatment effect on non-alcoholic steatohepatitis, and has certain application and development values.

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 discloses a safe medication system and a safe medication method for elderly patients, which can monitor whether the elderly take medicine according to medical advice or not and monitor the health state of the elderly. The physiological data of the patient is monitored by the wearable end, so that the health state of the patient can be roughly judged by combining data such as heart rate, electrocardio, respiratory rate and blood pressure, and whether the patient is in danger or not can be found in time; and meanwhile, whether the drug effect of the patient is exerted and whether the patient has drug safety can be known by monitoring the physiological data for a period of time after drug use. According to the invention, the medical advice is uploaded or issued through the medical care terminal, and the medication information in the medical advice is analyzed into the medicine type counting quantity and the medication mode of the medication, so that the medication plan of the patient is planned, and then the patient is prompted to take the medication on time according to the plan. And the medicines are distributed through the intelligent terminal module, and the intelligent terminal module communicates through the system, so that the medicines can be distributed according to the control of the medical care terminal, the management terminal and the system to prevent the patient from eating by mistake, and the medication safety is greatly improved.

The invention provides a preparation method and application of magnesium L-threonate, and belongs to the technical field of medicines. The preparation method comprises the following steps: dissolving L-ascorbic acid in water, adding magnesium hydroxide and alkaline magnesium carbonate, stirring, dropwise adding hydrogen peroxide, heating, stirring and reacting, filtering a product, purifying and concentrating by temperature-sensitive molecularly imprinted hydrogel while the product is hot, adding an ethanol water solution into a concentrated solution, standing, crystallizing, filtering, washing and drying to obtain the magnesium L-threonate. And cooling the temperature-sensitive molecularly imprinted hydrogel after adsorption to room temperature, washing and repeatedly using the temperature-sensitive molecularly imprinted hydrogel. The magnesium L-threonate is simple in preparation method, high in purity and high in yield, meanwhile, the slow-release magnesium L-threonate is prepared, and the magnesium L-threonate is low in toxicity, good in biocompatibility, large in drug loading capacity, low in economic cost and good in drug effect and has wide application prospects in preparation of anti-depression drugs.

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.