54 results about "Dosage adjustment" patented technology

The invention relates to the technical field of tumor treatment, in particular to an intelligent decision-making system for tumor precise targeted medication based on individual mutation information, which comprises a data processing layer, a variation annotation and function prediction layer, a knowledge base integration layer and a scheme decision-making engine and report visualization module. According to the intelligent decision-making system for tumor precise targeted medication based on individual mutation information, a rule engine and a prediction model are combined, dynamic priority ranking is output, multi-model fusion decision making is achieved, and clinical scene deep adaptation is achieved by predicting primary and secondary drug resistance, calculating liver and kidney function adjusting dosage and generating a combined medication time sequence scheme; through an individualized drug delivery scheme, combination drug use optimization is achieved, a visual clinical report is generated, clinical executable operation is further strengthened, and through algorithm quantification, a dynamic knowledge graph, AI auxiliary decision making and a clinical operation closed loop, the next-generation technical research direction of a tumor precise drug use system can be represented.

The invention discloses an intelligent anesthesia depth regulation and control system based on a multi-modal biological signal, which relates to the technical field of anesthesia depth regulation and control and comprises a multi-modal biological signal acquisition module, a signal fusion processing module, an intelligent anesthesia depth analysis module, an intelligent regulation and control decision module and an intelligent control terminal. Multi-modal biological signals of a patient are collected in real time, multi-modal physiological signals such as electroencephalogram, electrocardio and blood oxygen are fused, intelligent analysis is performed in combination with a deep learning model and a fuzzy PID control algorithm, and in combination with a pharmacokinetic model, the individual difference of the patient can be considered, the anesthesia depth of the patient is accurately evaluated, and the accuracy of anesthesia is improved. Individual anesthetic dosage adjustment is completed, a basis is provided for accurate regulation and control of anesthetic, accurate closed-loop regulation and control of anesthesia depth are achieved, physiological changes of a patient can be responded in real time, the anesthetic dosage can be adjusted in time, and compared with a traditional manual regulation and control mode, the risk of knowing and excessive anesthesia in an operation can be reduced.

The invention relates to the technical field of medical severe illness monitoring and management systems, in particular to an intensive illness medical patient monitoring and management system based on multi-modal data fusion, and the system comprises a physiological feature extraction module which collects a first feature set and processes the first feature set into a second feature set containing an electroencephalogram entropy value and cerebral perfusion pressure; the pathological state decoupling module is used for inversely calculating an observation vector, calculating a pharmacological stress vector in combination with a pharmacological baseline and a drug dosage, obtaining a pathological vector after stripping, and generating a pathological index; the evolution trend prediction module is used for predicting risk factors according to the pathological vector time sequence data; the closed-loop intervention decision-making module is used for combining the pathological indexes and the risk factors, calculating the medicine dosage adjustment amount according to a second mapping relation, and updating the infusion rate to achieve closed-loop regulation and control, and according to multi-modal data fusion and module cooperation, pharmacological stress is stripped, and the pathological indexes are generated so as to accurately judge the illness state; the risk can be actively predicted, and the drug dosage is automatically adjusted in combination with pathological indexes, so that the management efficiency and safety of critical patients are improved.

An Adaptive Neuro-Fuzzy Inference System (ANFIS) for total intravenous anesthesia management is disclosed, enabling control over administration of anesthetic agents and dynamic adjustment according to patient physiological feedback. The system processes patient data, including processed EEG signals, hemodynamic information, capnography, and pulse oximetry, to facilitate real-time anesthetic dosage adjustments.

The invention provides a drug dosage adjusting system and method based on blood concentration prediction, and belongs to the field of medical artificial intelligence, and the method comprises the steps: obtaining a standard structured data code based on a preset historical clinical database; performing standard structured data coding based on the predicted feature factor set to obtain a predicted feature factor set and a time point combination; constructing a classification prediction model and a regression prediction model based on the prediction feature factor set; a to-be-predicted blood sample is collected in a prediction characteristic factor set time point combination mode, and a blood concentration prediction result is obtained based on the to-be-predicted blood sample of the prediction characteristic factor set, the prediction characteristic factor set classification prediction model and the regression prediction model; and adjusting the dosage according to the blood concentration prediction result. According to the invention, individual differences are analyzed individually, personalized medication dosage adjustment suggestions are generated, and the medication dosage adjustment reliability is improved.

The invention provides a dosage prediction method and system based on multi-mode flotation froth digital characterization, and relates to the technical field of froth flotation. The method comprises the following steps: collecting multi-modal data of a foam state in a metal ore flotation process, wherein the multi-modal data comprises an RGB image, a video sequence and a three-dimensional point cloud; constructing three foam feature extraction networks, and respectively extracting RGB features, video dynamic features and three-dimensional point cloud features of the multi-modal data; fusing the extracted RGB features, the video dynamic features and the three-dimensional point cloud features based on a cross-modal attention mechanism to generate multi-modal features; constructing an expert knowledge base, wherein the expert knowledge base comprises structured rules and historical cases; and constructing a dosage decision model based on an expert knowledge base and a large language model, converting the multi-modal features into standardized vector representation, retrieving the expert knowledge base by utilizing similarity matching, and generating a dosage adjustment strategy. According to the invention, accurate prediction from foam multi-mode characteristics to dosage adjustment can be realized.

The invention relates to the technical field of medical care informatics and precision medical treatment, and discloses a hemodialysis patient precision medication system based on multiple omics and big data, and the system comprises a multi-source data collection module which collects the multi-source heterogeneous data of a patient and carries out the standardization and integration processing; the drug metabolism analysis module is used for analyzing drug metabolism paths and individual differences through multi-omics data, constructing a drug metabolism polymorphic model and outputting gene metabolism capability grades and biomarker risk tags; the initial medication decision-making module is used for constructing an initial medication decision-making model based on a federal optimization framework of a momentum enhancement and robust aggregation mechanism, and outputting a personalized initial medication scheme for erythropoietin and a vein iron agent; and the drug dosage adjustment module is used for dynamically optimizing the time node and dosage adjustment opportunity of drug administration through an asynchronous federal reinforcement learning framework in combination with a prospective parameter correction strategy. According to the invention, the intelligent medication system with strong robustness and fine decision is constructed.

The invention relates to an intelligent integrated medicine dispensing method and system, and the method comprises the steps: obtaining the prescription information of a target patient, obtaining the image data and bar code data of a to-be-dispensed medicine, carrying out the combined matching verification based on an image recognition result and a bar code analysis result, and recognizing a target medicine matched with a prescription medicine; judging whether a potential drug risk exists in the current prescription or not by utilizing a knowledge graph reasoning mechanism, and generating a dosage adjustment suggestion when the risk is detected; based on medicine components contained in the prescription information of the target patient, performing medicine classification processing, judging whether the medicine components have a cross-sharing relationship with other temporarily stored prescription medicines, and if the cross-sharing relationship exists, constructing a list of medicines to be dispensed; and for the compound medicine components contained in the list to be dispensed, completing dose disassembly and recombination processing among the compound components according to a preset proportioning logic to generate a compound dispensing result. The method has the effect of improving the automation precision of compound dispensing.

The invention discloses an anti-radiation drug dose data acquisition self-adaptive dose control system. The system comprises a physiological parameter real-time acquisition module, a transfer environment data capture module, a multi-scale pharmacokinetic modeling module, a group Bayesian optimization calculation module, an anti-radiation drug dose adjustment module and a system parameter dynamic updating module. All the modules work cooperatively, the wounded physiological data and the transfer environment data are collected and input into the multi-scale pharmacokinetic modeling module to construct a cross-scale drug metabolism model, the group Bayesian optimization calculation module combines group data optimization calculation, and the anti-radiation drug dosage adjusting module adjusts the dosage according to the optimization calculation. And the system parameter dynamic updating module continuously corrects the parameters. According to the system, cross-scale analysis, group and individual data fusion and dynamic adaptation are achieved, it is ensured that the medicine dosage is accurate and appropriate in the transfer process, and a guarantee is provided for wounded treatment.

The invention relates to the technical field of formula optimization, and discloses a Qi king liquid formula optimization method and system based on big data analysis, and the method comprises the steps: obtaining basic attribute data and compatibility relation data of traditional Chinese medicinal materials; constructing a medicine taste associated map, extracting a map embedding vector, splicing the vector with the medicine dosage information, and generating a state expression of the current formula; calculating a main efficiency reward item; when the medicinal material combination in the formula triggers the compatibility rule, calculating a compatibility constraint penalty term; calculating a reward signal; identifying monarch, minister, assistant and guide roles of the medicinal materials, generating role masks, limiting dosage adjustment ranges of the medicinal materials of different roles, and updating a task specific strategy according to an award signal; updating meta parameters of the meta learner based on the reward signals of the plurality of tasks; and repeating internal and external circulation until the convergence condition is met, and outputting the Qi liquid formula with the highest accumulated reward. According to the method, a comprehensive evaluation function capable of simultaneously evaluating the curative effect and accurately representing various incompatibility risks is constructed, so that the optimization result of the Qi king liquid formula is better.

The invention discloses a tailings pond water treatment dosage prediction method based on historical output reverse modeling, comprising: acquiring a historical data set, the historical data set comprising water outlet end water quality index data and an actual dosage, the water outlet end water quality index data comprising a plurality of water quality indexes, the plurality of water quality indexes at least comprising a wastewater flow, a water outlet end water quality forward prediction model based on the GRU neural network is constructed, the water outlet end water quality forward prediction model obtains a water outlet end water quality prediction value based on the historical data set as input, and a calculation function of the dosage adjustment amount is constructed based on the difference value between the water outlet end water quality prediction value and preset target water outlet end water quality index data; and taking the dosage adjustment amount meeting specific conditions in the calculation function as the final dosage adjustment amount, and determining that the dosage at the next sampling moment is the last dosage plus the final dosage adjustment amount. According to the invention, real-time or quasi-real-time dosage prediction is realized.

Most therapeutic treatments require dose adjustment after initial administration. Dosage adjustment is crucial to ensuring optimal safety and efficacy characteristics of the treatment. Gene therapy is inherently limited by the inability to adjust the dose after initial administration. This invention describes a genetic element capable of dose adjustment after the initial administration of gene therapy. The realization of dose adjustment allows for the replacement of multiple subcutaneous protein injection regimens with single-injection gene therapy, thereby improving pharmacokinetics, safety / efficacy characteristics, medication adherence, and reducing healthcare costs.

The invention belongs to the technical field of medical instruments, and particularly relates to a disposable pen type syringe and a working method thereof. The lower pen container is connected with the upper pen container and is used for installing a cartridge; the driving mechanism is arranged in the upper pen container and comprises a lower fixing sleeve, a rectangular lead screw, a feedback connecting rod and a dosage adjusting assembly; the lower fixing sleeve is connected with the upper pen container, and a circular through hole is formed in the axis of the lower fixing sleeve; the rectangular screw rod is arranged on the circular through hole in a penetrating manner and flows out of the gap on the two sides; the feedback connecting rod is sleeved on the rectangular screw rod, and a pair of clamping pieces for extending into the gap is arranged on the lower end surface of the feedback connecting rod; according to the disposable pen-type injector and the working method thereof, the pair of clamping pieces is arranged on the lower end face of the feedback connecting rod, and the two clamping pieces correspond to the two ratchets in position and extend into the corresponding gaps respectively, so that when the feedback connecting rod rotates, the ratchets can be separated from the feedback connecting rod; the ratchets are stressed to bend inwards to extrude the clamping pieces so as to tightly hold the rectangular lead screw and prevent the rectangular lead screw from shaking to affect the precision of the injection dose.

The invention discloses a feed additive precise mixing system capable of monitoring environment stress in real time. The feed additive precise mixing system comprises a screw conveyor, a pressure supply unit, a spraying unit, an additive supply unit, an additive storage unit, an environment monitoring unit and a control unit, a discharge port of the spiral conveyor is arranged downwards, and the spraying unit is arranged on a shell of the spiral conveyor above the discharge port, is connected with the additive supply unit and is used for spraying an additive to feed; the additive supply unit comprises at least one temporary storage box, the bottom of the temporary storage box is conical, and a discharge port is formed in the bottom of the temporary storage box; the feed additive mixing device is unique in structure and ingenious in design, and can effectively solve the problems that existing feed additives are not uniformly mixed, and the proportion cannot be dynamically adjusted according to real-time environmental parameters due to additive amount adjustment lag.

This invention relates to the field of medical data and discloses a method for real-time monitoring of the efficacy of traditional Chinese medicine, Mongolian medicine, and Western medicine based on biosensor technology. This method enables real-time monitoring of drug efficacy and personalized medication guidance. The process includes collecting real-time multimodal biosignals from the user's body surface or minimally invasive body fluid samples to obtain raw sensor signals and acquire sensor array output; extracting real-time pharmacokinetic characteristic signals based on a preset pharmacokinetic model and mapping them to efficacy assessment parameters according to drug type; comparing the efficacy assessment parameters with a preset safe and effective concentration range to generate real-time medication status indicators and dosage adjustment prompts. This invention designs quantitative assessment methods for different types of drugs, enabling real-time comparison to generate efficacy status codes and dosage adjustment suggestions. It comprehensively generates a medication guidance report and transmits it in real-time to the user or clinical monitoring end, allowing for immediate adjustment of the medication regimen and ensuring safe and effective medication.

This invention relates to the field of seedling equipment technology and discloses a precise quantitative fertilization device for seedling roots. The device includes a liquid storage tube with an inlet pipe connected to its top. A fertilizer dosage adjustment component is located on one side of the storage tube, and a dispensing component is connected to the fertilizer dosage adjustment component on the same side. A draining component is located at the bottom of the storage tube and includes a connecting pipe. The connecting pipe is movably fitted to the bottom of the storage tube, and a draining pipe is installed on one side of the connecting pipe. When the bottom of the connecting pipe contacts the ground, the outlet and the draining pipe are connected, facilitating the application of liquid fertilizer from the storage tube to the seedling roots through the outlet and draining pipe. This achieves precise quantitative fertilization of the seedling roots, effectively avoiding the problems of seedling burn or nutrient deficiency caused by excessive or insufficient fertilization in traditional methods, and significantly improving fertilizer utilization and crop safety.

The invention belongs to the technical field of pharmaceutical preparations, and particularly relates to a pharmaceutical composition, a method for reducing the serum uric acid level of a gout patient and application of topiromilast to preparation of a medicine for treating hyperuricemia / gout with hyperuricemia. The medicine is continuously administered according to the following dosage scheme: the initial dosage is 40-80mg / day, and the duration period is 2-4 weeks; the first adjusting dosage is 120-160mg / day, and the duration period is 2-4 weeks; the maximum dose is 160-320 mg / day, and the dose lasts for at least 8 weeks. According to the pharmaceutical composition, high-efficiency treatment of Chinese patients with hyperuricemia / gout is realized through a staged dosage increasing scheme, and renal function impairment is improved. The invention further provides a method for reducing the serum uric acid level of gout patients, continuous administration is carried out according to the dosage scheme, and the topiromilast is applied to preparation of the medicine for treating hyperuricemia / gout with hyperuricemia and is suitable for people with renal insufficiency.

The application provides a method and system for predicting the amount of reagent based on multi-modal flotation froth digital characterization, relating to the technical field of froth flotation. The method comprises: collecting multi-modal data of the froth state in the metal ore flotation process, including RGB images, video sequences and three-dimensional point clouds; constructing three froth feature extraction networks to extract the RGB features, video dynamic features and three-dimensional point cloud features of the multi-modal data respectively; fusing the extracted RGB features, video dynamic features and three-dimensional point cloud features based on a cross-modal attention mechanism to generate multi-modal features; constructing an expert knowledge base, which includes structured rules and historical cases; constructing a reagent dosage decision model based on the expert knowledge base and a large language model, converting the multi-modal features into standardized vector representations, retrieving the expert knowledge base using similarity matching, and generating a reagent dosage adjustment strategy. The application can realize accurate prediction from froth multi-modal features to reagent dosage adjustment.

The invention discloses a cardiovascular drug dose regulation and control system based on reinforcement learning, and relates to the technical field of medical artificial intelligence, and the system comprises a data acquisition module which collects physiological data, metabolic parameters, a drug interaction matrix and a current drug combination of a patient in real time; the adjustment factor calculation module calculates a drug metabolism rate adjustment factor through a pharmacokinetic model; the interaction modulation module adjusts the interaction intensity according to the adjustment factor; the risk score calculation module calculates the adverse reaction risk of the patient based on the adjusted interaction matrix, the drug combination and the physiological data; the first processing module judges whether the risk score exceeds the standard or not, and if yes, the risk is reduced through medicine replacement or dosage reduction; if the risk score is lower than a second threshold value, the second processing module maintains the current dose, otherwise, a dose adjustment strategy is optimized based on reinforcement learning; according to the method, the medicine dosage adjustment can be more fit with the actual metabolic characteristics of the patient, and the accuracy and individualization degree of treatment are improved.

A high-precision continuous dosing syringe includes a handle, a housing, a dosing chamber connected to one end of the housing, and an injection outlet at the other end of the dosing chamber. A piston rod is provided, and an adjusting sleeve is provided on the piston rod. One end of the piston rod passes through the housing and extends into the dosing chamber, while the other end is connected to the handle. A locking assembly is provided on the outer circumference of the adjusting sleeve and the inner wall of the housing. When the piston rod returns to its original position, the locking assembly fixes the adjusting sleeve. This invention, through the design of the locking assembly and the toothed ring, ensures that the adjusting sleeve is always fixed in its original position during the reciprocating motion of the piston rod, preventing the accumulation of errors that could lead to dosage adjustment failure. Furthermore, the tooth pitch of the toothed ring matches the circumferential adjustment scale of the adjusting sleeve, allowing for timely calibration and improving the accuracy of the injected medication.

A method for synthesising polyurethane foam compositions convenient for use in areas wherein rigidity and lightness are required together in automotive sector and including the steps of: conduct of polyol dosage adjustment, adding inflating reaction catalyser onto polyol of convenient amount and mixing at mechanical mixture, adding glycerine while mixing is continued, adding surfactive while mixing is continued, adding gelling reaction catalyser while mixing is continued, adding cell opening agent while mixing is continued, adding cell opening agent while mixing is continued, adding at least an inflating agent selected from a group consisting of n-pentane, cyclo-pentane, C3H8O2 gas and C2H4O2 gas while mixing is continued, conduct of temperature adjustment of polyol base mixture, conduct of isocyanide dosage adjustment in a separate place, injecting polyol base mixture into reaction container from one side and isocyanides from other side, conduct of temperature control during reaction and opening mold and removing final product.

This invention relates to the field of biomedical testing and clinical medication management technology, specifically to an antiepileptic patient medication assessment and management system based on chromatography-mass spectrometry (CMS) data. The system includes: a data acquisition module for collecting multidimensional time-series data generated by CMS in patient biosamples, and obtaining prescription dosage, administration timestamps, weight, and genotyping data; a benchmark reconstruction module for constructing an ideal pharmacokinetic benchmark based on a compartmental model and the Michaelis-Menten kinetic rules; a parameter injection module for generating a theoretically abnormal simulation state; a differential extraction module for generating a real residual vector and a theoretical residual matrix; a coupling decision module for outputting the state assessment results; and a management feedback module for generating medication reminders, dosage adjustment suggestions, medication change prompts, resampling, or manual review instructions, achieving a closed-loop connection from testing data to clinical decision-making.

The dose adjusting and feedback mechanism of the injection pen comprises a screw sleeve and a metering dial support, when the screw sleeve rotates reversely, a protrusion directly acts on a pawl lifting face, a pawl is forcibly lifted to be partially separated from ratchets, and stepping locking is relieved; compared with traditional tooth-by-tooth callback, the difficulty degree is greatly reduced, the reset operation efficiency is improved, operation delay in emergency is avoided, reset is achieved only through mechanical interference of the protrusions and the pawls, and 80% of quick-wear parts are reduced.

The present application provides a control method, system, and electronic device for detergent dosing. The method includes: inputting a preset washing mode and the weight of the laundry into a preliminary detergent dosage prediction model to predict and output a theoretical detergent dosage, and using a first preset ratio of the theoretical detergent dosage as the initial detergent dosage; a detergent dosage adjustment step: obtaining the real-time foam volume during the washing process, and inputting the real-time foam volume, the preset washing mode, and the weight of the laundry into a detergent dosage optimization determination model to determine a result; if the determination result indicates that the real-time detergent dosage does not achieve the optimal washing effect for the laundry, adding a second preset ratio of the theoretical detergent dosage; and executing the detergent dosage adjustment step at least once until the real-time detergent dosage achieves the optimal washing effect for the laundry. This achieves precise control of the detergent dosage.

The embodiment of the invention provides a personalized medication dosage adjusting and doctor seeing reminding method based on an intelligent medicine box. The method comprises the following steps: acquiring monitoring data of the intelligent medicine box and physiological information of a human body wearing device in communication connection with the intelligent medicine box; performing first comparison on the monitoring data and the physiological information with a preset medication dosage scheme, adjusting the medication dosage scheme according to a first comparison result to obtain a first scheme, and repeating the first comparison within a preset time period; performing second comparison on the monitoring data and the physiological information obtained at the last time in the preset time period with a preset doctor seeing plan, and generating a doctor seeing scheme according to a second comparison result; and sending the doctor seeing scheme to the target equipment and indicating the target equipment to display the doctor seeing scheme. According to the invention, the problem of low adjustment precision of the medication scheme and the treatment scheme between individuals is solved, and the effect of adjusting precision and efficiency of the medication scheme and the treatment scheme between individuals is achieved.

The invention discloses a quantitative injection instrument which comprises a cylinder body assembly, a dosage adjusting assembly, a pressing assembly, a transmission clutch assembly and a pushing assembly. The barrel body assembly comprises a pen body; the dosage adjusting assembly is mounted on the pen body and is suitable for rotating and moving relative to the pen body to adjust the injection dosage; a first clutch mechanism suitable for being connected to link the pressing assembly and the dose adjusting assembly and separated to disconnect linkage is arranged between the pressing assembly and the dose adjusting assembly. The transmission clutch assembly comprises a transmission connecting rod and a clutch piece which are connected, the clutch piece is fixedly connected with the dose adjusting assembly, and the upper end of the transmission connecting rod abuts against the pressing assembly. A second clutch mechanism is arranged between the transmission connecting rod and the clutch piece, the second clutch mechanism is suitable for being connected to link the rotating action of the dose adjusting assembly and the transmission connecting rod and being separated to disconnect the linkage of the rotating action, and an elastic acting mechanism is further arranged between the transmission connecting rod and the clutch piece. According to the invention, the arrangement of parts is reduced, the structure is simplified, and dosage adjustment and quantitative pushing can be facilitated.

An Adaptive Neuro-Fuzzy Inference System (ANFIS) for total intravenous anesthesia management is disclosed, enabling control over administration of anesthetic agents and dynamic adjustment according to patient physiological feedback. The system processes patient data, including processed EEG signals, hemodynamic information, capnography, and pulse oximetry, to facilitate real-time anesthetic dosage adjustments.

The invention discloses an artificial intelligence-driven personalized drug dosage dynamic adjustment method and system. The method comprises the following steps: acquiring multi-source heterogeneous data of a patient, preprocessing and constructing to obtain graph structure data; performing feature extraction on the graph structure data by using a trained graph convolutional network to obtain high-order features of the patient, and predicting treatment conditions of the patient under different dose combinations; based on the high-order features, searching an optimal dose combination in a medication dose solution space by using an improved genetic algorithm, and generating a medication dose adjustment scheme; generating a risk assessment report based on the drug dosage adjustment scheme in combination with the multi-source heterogeneous data, and prompting the potential risk of dosage adjustment; and continuously collecting subsequent treatment feedback data of the patient and using the subsequent treatment feedback data to optimize the parameters of the graph convolutional network and the weight of the fitness function in the improved genetic algorithm. According to the method, the precision and dynamic adjustment of the medication dosage are realized.

The invention discloses an intelligent needleless injector, and particularly relates to the technical field of needleless injection.The intelligent needleless injector comprises an outer shell, a support is installed in an inner cavity of the outer shell, a motor base is linearly and slidably installed in an inner cavity of the thick end of the support, a driving motor is arranged in the motor base in a sleeved mode, and the output end of the driving motor drives an energy storage mechanism; the energy storage mechanism always abuts against a driving spring extending in the direction of the driving motor, the other end of the driving spring abuts against a step of an inner cavity of the support, any end of the driving spring further abuts against the pressure sensor, a dose adjusting motor is fixedly installed at the end, close to the driving motor, of a medicine taking nut of the energy storage mechanism, and the output end of the dose adjusting motor drives a medicine taking mechanism. A connecting rod of the medicine taking mechanism is connected with a push rod, the long and thin end of the support is externally connected with a medicine storage cylinder, and the end, away from the medicine taking mechanism, of the push rod is connected with a piston.

The invention discloses a personalized dosage adjusting device and method for psoriasis treatment medicine, and relates to the technical field of psoriasis treatment.The personalized dosage adjusting device comprises a monitoring mechanism, the monitoring mechanism comprises a shell, and a detection mechanism is arranged above the shell; the detection mechanism comprises a data collection unit, the data collection unit is arranged in the shell, and the data collection unit is used for collecting skin state image data of a psoriasis patient. The drug dosage most suitable for a patient can be calculated according to the influence of the drug on the physical condition of the patient after medication and the skin treatment effect in cooperation with the oral description of the patient and a biomarker detection result, the accuracy of the drug dosage of the psoriasis treatment drug is improved, personalized dosage adjustment is conveniently carried out according to the conditions of different patients after medication, and the curative effect of the psoriasis treatment drug is improved. The side effects caused by excessive medication are greatly reduced while the treatment effect and the treatment compliance of a patient are ensured.