87 results about "Optimal treatment" patented technology

The invention belongs to the technical field of tunnel construction geological disaster prevention and control, and discloses a multi-source data fused refined treatment decision-making method for a complex stratum disaster source, which comprises the following steps: collecting and fusing multi-source geological data, and constructing a three-dimensional geological model; generating a disaster source risk dynamic assessment and treatment scheme; based on a fluid-solid coupling similarity theory, verifying the preliminary treatment scheme by adopting a physical model test, and determining an optimal treatment scheme; the optimal treatment scheme is executed, and the treatment process is dynamically regulated and controlled; after treatment, the treatment effect is evaluated through posterior data, and the effect data is fed back to the three-dimensional geologic model and the knowledge base, so that the dynamic updating of the model and the self-learning of the decision-making system are realized. By the adoption of the treatment decision method, the problems that a traditional method depends on experience, information is one-sided, and treatment is extensive are solved, advanced accurate forecasting and refined and personalized treatment of complex stratum disaster sources are achieved, and the safety and efficiency of tunnel construction are remarkably improved.

The invention relates to the technical field of medical artificial intelligence, and discloses a non-small cell lung cancer immunotherapy risk assessment method and system and a storage medium, and the method comprises the steps: constructing an optimal strategy tree model capable of dividing a patient into a plurality of subgroups based on a historical patient data set, and determining an initial optimal treatment strategy for each subgroup; determining a subgroup to which a new patient belongs and an initial treatment strategy thereof according to the model; in the treatment process, the deviation degree between the individual response trajectory of the patient and the average response trajectory of the subgroup to which the individual response trajectory belongs is calculated; and when the deviation degree exceeds a preset threshold value of the subgroup, triggering an adaptive adjustment mechanism, and outputting an updated treatment suggestion. By establishing a dynamic monitoring and closed-loop feedback mechanism based on the subgroup benchmark, the technical problem that an existing scheme is difficult to carry out prospective identification and dynamic intervention on individualized risks is solved, so that the accuracy, safety and individualized level of non-small cell lung cancer immunotherapy are improved.

The present disclosure provides apparatus and methods to both infer stent expansion (vessel expansion or compliance) and probability of procedural success (vessel patency) from pretreatment diagnostic imaging at the point-of-care and also train an inference model to generate such an inference, thus allowing a physician to choose with greater certainty an optimal treatment tool and treatment protocol for treating a vessel of a patient.

The invention provides a phototherapy device and a using method of the phototherapy device, and belongs to the technical field of medical instruments, and the device comprises an electroencephalogram collection module which is used for collecting an electroencephalogram signal of a target person and converting the electroencephalogram signal into a digital signal; the phototherapy module is used for outputting light with target power to the skull of the target person after starting to work; the temperature detection module is used for detecting the scalp temperature of the target person; and the data analysis and control module is used for controlling the phototherapy module to start working under the condition of determining that the target person enters a non-rapid eye movement sleep window period based on the digital signal, and controlling the phototherapy module to stop working under the condition of determining that the scalp temperature exceeds a preset temperature threshold. The optimal treatment window of the target person can be determined by identifying the electroencephalogram signals, and the technical problem that an existing phototherapy device is poor in use effect is solved.

The invention relates to the technical field of medical treatment, and discloses a lung cancer personalized treatment scheme recommendation method and system and a storage medium. The method comprises the following steps: acquiring clinical and molecular indexes of a patient, and constructing a simplified feature set; distributing weights for treatment targets according to the simplified feature set, constructing and optimizing a scheme evaluation matrix, and generating a preliminary scheme sorting list; through threshold screening and patient feature matching degree verification, a verified scheme set is obtained; the schemes are classified based on gene mutation and driver gene features, and classified optimization scheme subsets are obtained; constructing an interaction model to analyze interaction influence of toxic and side effects and life quality on curative effects, and dynamically adjusting scheme scores; and if the score is lower than a threshold value, triggering iterative optimization, obtaining a scheme list after iteration, and further determining an optimal treatment scheme according to treatment collaboration and target balance. According to the method, intelligent and closed-loop optimization from multi-source data to personalized treatment decision is realized, and the personalization and accuracy of a treatment scheme are improved.

The ability to improve the adjusting of technical parameters in therapy plans found by Pareto navigation constitutes a technical problem, along with facilitating the decision-making of the planner (also called user) and simplifying the mathematical calculation of the solution. Proposed is a way to find and establish a therapy plan among a plurality of plan proposals for cancer therapy, each plan proposal representing as a solution one point in a navigation space (N) containing a plurality of setting parameters and establishing in a machine space (M) a setting for radiation doses to be administered by a radiation therapy machine for cancer therapy. The navigation space (N) contains at least one Pareto front (200) behind or on which available treatment plans are located as possible solutions and among which a user navigates, whereby a first plurality of available solutions calculated in advance as plan proposals is provided in a memory and retrieved or read out from the memory for display. The retrieved or read-out plan proposals are shown on a display and used by the user for navigation, whereby a large number of Pareto-optimal solutions with physical values or evaluations of dose values can be found among the points. Moreover, such solutions are also shown that are almost Pareto-optimal, within a tolerance range of at most ±5% from the Pareto optimum. In this way, a large first set of points with the physical values or evaluations of dose values is created and then stored in the memory. From this, a second set of points is calculated, which defines clinical targets. A decision space (D) is provided and shown in which at least the clinical targets are plotted on target axes (76, 876, 776). This is without the possibility of navigating in the decision space (D) on the target axes of the clinical targets, whereas binary selections in the decision space are made in the manner of restrictors to specify which plan proposals are not used as therapy plans. This enables a desired therapy plan to be found and determined from the large number of plan proposals.

An apparatus and method for optical skin treatment procedures and in-treatment monitoring thereof. The apparatus is operable in two modes: a treatment mode for delivery of treatment light to an area of a patient's skin abutted to a light guide of the apparatus; and a diagnostic mode for acquiring one or more images of the abutted area of skin. Switching between the two modes may be made in a short time, facilitating monitoring during treatment. In exemplary embodiments, the apparatus sends image data to an analyzer, which analyzes images and computes an optimal treatment course, at least optimal parameters (intensity, pulse width, repetition rate) for the next delivery, and sends the optimal treatment course to the controller for implementation by the apparatus in real time.

The invention discloses an MICP intensity prediction method and system based on machine learning and multi-feature fusion, and relates to the field of solidified data analysis. An accurate quality prediction mapping model and an abnormal compensation parameter mapping model are constructed based on historical data; the system has the capabilities of predicting curing quality from process parameters and intelligently recommending an optimal disposal scheme from an abnormal state; by setting a dual-threshold quality control mechanism and a real-time abnormity monitoring and early warning system, various abnormal conditions in the curing process can be actively identified and timely responded, and complete closed-loop processing from parameter deviation detection to automatic compensation measure execution to hardware standby switching can be realized. The stability of the solidification process and the consistency of the engineering quality are effectively guaranteed, the requirement for manual intervention and the misjudgment risk are greatly reduced, powerful technical support is provided for standardization, normalization and industrialization development of the sand solidification technology, and the engineering efficiency and economic benefits are remarkably improved.

The invention discloses a apoplexy patient monitoring system based on cell therapy and negative oxygen ion conditioning, and particularly relates to the technical field of medical monitoring. According to the method, the multi-dimensional physiological parameters of the patient are converted into the quantized physiological expression coefficients, the scheme adjustment signaling is accurately triggered, and the optimal treatment scheme is matched from the mapping library based on the monitoring data and the individual information; wherein the mapping library comprises a mapping relationship between different physiological parameter combinations and corresponding cell therapy schemes and negative oxygen ion conditioning scheme combinations, and then evaluating scheme effects through subsequent monitoring data to determine whether to optimize the schemes, so that monitoring and treatment are deeply coordinated, and the treatment effect is improved. The problems that most of apoplexy patient monitoring systems in the prior art can only achieve a single physiological parameter monitoring function and are not effectively combined with treatment means, and a treatment scheme cannot be made according to the real-time physiological state of a patient are solved.

The invention relates to a Crohn disease auxiliary prediction method based on machine learning. The method comprises the following steps: obtaining related prediction data of a user; whether missing items exist in the user related prediction data is judged, if yes, an alarm is given to remind a user to supplement, if the user confirms that supplement cannot be carried out, self-adaptive complementation is carried out, and finally to-be-predicted data is formed; inputting the to-be-predicted data into a pre-established Crohn disease auxiliary prediction model, and outputting a prediction result by the Crohn disease auxiliary prediction model; the Crohn disease auxiliary prediction model is constructed based on an XGBoost model; and visually displaying the prediction result to inform a user. According to the method, when the data input by the user is missing, the user can be reminded to supplement, if the data cannot be supplemented, self-adaptive complementation is carried out, the prediction accuracy of the model is improved, Crohn disease risk prediction can be carried out according to the existing indexes of the patient, the user can conveniently find related risks in time, and the user experience is improved. And the diagnosis and treatment efficiency of the user is improved.

This application discloses a deep learning-based auxiliary screening method and related apparatus for Kawasaki disease in children. The method includes acquiring a chest X-ray image file of the patient to be screened; performing pixel preprocessing on the chest X-ray image file to obtain a target standard image; and inputting the target standard image into a pre-trained classifier to obtain a prediction result for the patient to be screened. The prediction result includes a prediction category and a confidence level, and the prediction category includes Kawasaki disease positive and Kawasaki disease negative. This application uses chest X-ray images for auxiliary identification of Kawasaki disease, effectively avoiding the limitations of existing clinical diagnosis of KD, preventing patients from missing the optimal treatment window, and providing medical interpretability and high recognition efficiency. Furthermore, it provides clinicians with interpretation references through visual heatmaps, and can be used to assist in screening and diagnosis.

We provide the system. [Solution] A means of receiving and storing individual medical history information, A means for generating medical proposals using generative artificial intelligence based on the received information, A means for providing additional information regarding the generated medical proposal and for generating a response to an inquiry, A means of managing citizens' health information and providing optimal treatment plans through integration with mobile devices, A means of providing the latest medical and facility information in smart cities, A system that includes this.

We provide the system. [Solution] A system that provides medical second opinions using a generative artificial intelligence device, A means for inputting blood test results using an input device, A means for inputting the results of the medical interview and physical examination, A means of integrating the above blood test results with the results of the medical interview and physical examination, A means for inputting integrated data into a generative artificial intelligence model to generate multiple treatment plans, A means for providing the generated treatment plan to healthcare professionals and patients via a display means, A means for selecting the optimal treatment plan and saving that treatment plan using a final decision-making mechanism, A system that includes this.

The present application provides a light treatment device for suppressing or preventing Alzheimer's disease. A light treatment device includes a carrier structure and an array of near-infrared irradiation units. The bearing mechanism forms an accommodating space for the head of the object and bears the array of the near-infrared irradiation units. The array of near-infrared irradiation units is configured such that near-infrared light is emitted into the accommodation space, when the head of the subject is in place, an irradiation space range covering at least the anterior upper cranial portion, the top cranial portion, the left cranial portion and the right cranial portion is formed, and the time-average total irradiation power of the head cover portion acting on the head of the subject is 27.5 W or more, 31 W or more, 40 W or more, or 60 W or more, and the irradiation power of the head cover portion acting on the head of the subject is 27.5 W or more, 31 W or more, 40 W or more, or 60 W or more. Or more than 70W, and the space-time average optical power density irradiated to each part does not exceed 230mW / cm < 2 >. The light treatment device does not depend on nasal and ocular irradiation, achieves an optimized treatment effect on AD patients from MCI to dementia during the course of treatment, and not only effectively maintains the treatment effect but also continuously increases the treatment effect when the light treatment is interrupted.

Devices and methods for evaluating and treating neurogenic bladder (NB) are disclosed. In some embodiments, a probe may include microneedles for gently puncturing the bladder detrusor tissue of a test subject. The microneedles may non-invasively collect a series of electric impedance myography (EIM) measurements to evaluate the condition of the bladder and assist in diagnosis. In some embodiments, the probe may provide information regarding the tissue's structural and biophysiological condition, in a real-time, quantitative, and objective manner. In some embodiments, the probe may assist in identifying optimal treatment (e.g., Botox or biomaterials injection) sites for NB by providing real-time results.

The invention provides a smartwatch individualized tremor treatment scheme monitoring system and method, and relates to the technical field of scheme monitoring. Physiological data and motion tremor data of a user are collected and analyzed through a smartwatch, and combined analysis is performed according to obtained time sequence user tremor analysis data and time sequence user physiological analysis data; obtaining time sequence user combination analysis feature data; performing electrical stimulation data feature extraction and weight adjustment on the time sequence user combination analysis feature data to obtain updated analysis feature data, training and obtaining an individual response model according to the updated analysis feature data, and performing feedback comparative analysis of multiple electrical stimulation stages according to the individual response model to obtain an electrical stimulation result. And performing effect data monitoring on the tremor treatment scheme according to a feedback comparative analysis result to obtain effect analysis data. According to the method, multi-dimensional information can be deeply fused, the state change of the user is dynamically tracked, and the optimal treatment scheme is automatically recommended.

A six-degree-of-freedom proton heavy ion radiotherapy bed comprises a bed plate and a base, a Z-axis rotating module is arranged on the base, an XY-axis overturning module is arranged on the Z-axis rotating module, an XY plane moving module is arranged on the XY-axis overturning module, and the bed plate is arranged on the XY plane moving module; in conclusion, the flexibility and precision of the radiotherapy bed can be remarkably improved, and the system can more accurately position the patient to the optimal treatment position by combining the multi-dimensional adjustment capabilities of rotation, overturning, translation and the like, so that the radiotherapy effect is improved.

The application provides a disease-specific emergency whole-process auxiliary decision-making method based on multi-modal perception and AI, relates to the technical field of medical emergency, and comprises the following steps: acquiring multi-modal data of an emergency scene, constructing a feature dependency graph, and identifying disease types and symptom characteristics; indexing disease diagnosis and treatment data based on a symptom characteristic vector, determining reference cases and treatment paths; combining clinical norms to construct an action space, applying Monte Carlo search to predict expected returns, and generating an optimal treatment plan, which can improve the accuracy of emergency disease identification, shorten the treatment decision-making time, and improve the emergency intervention effect.

The system according to this embodiment aims to analyze gene expression data, predict disease mechanisms, and generate new research hypotheses. [Solution] The system according to the embodiment comprises an acquisition unit, an analysis unit, a prediction unit, a hypothesis generation unit, a treatment method proposal unit, and a report generation unit. The acquisition unit acquires gene expression data. The analysis unit analyzes the gene expression data acquired by the acquisition unit. The prediction unit predicts the disease mechanism based on the data analyzed by the analysis unit. The hypothesis generation unit generates a new research hypothesis based on the prediction results obtained by the prediction unit. The treatment method proposal unit proposes the optimal treatment method based on the hypothesis generated by the hypothesis generation unit. The report generation unit generates an experimental result as a report based on the treatment method proposed by the treatment method proposal unit.

The application discloses a MICP intensity prediction method and system based on machine learning and multi-feature fusion, relates to the field of curing data analysis, and constructs a precise quality prediction mapping model and an abnormal compensation parameter mapping model based on historical data, so that the system has the ability to predict the curing quality from process parameters and intelligently recommend an optimal treatment scheme from an abnormal state; through setting a double-threshold quality control mechanism and a real-time abnormal monitoring and early warning system, various abnormal conditions in the curing process can be actively identified and responded in time, from parameter deviation detection to automatic compensation measure execution to complete closed-loop processing of hardware backup switching, so that the stability of the curing process and the consistency of the engineering quality are effectively guaranteed, the demand for manual intervention and the risk of misjudgment are greatly reduced, strong technical support is provided for the standardization, normalization and industrialization development of the sand soil curing technology, and engineering efficiency and economic benefits are significantly improved.

The invention relates to the field of pathological diagnosis and experiments, in particular to a bone marrow tissue rapid decalcification solution and a decalcification method, the bone marrow tissue rapid decalcification solution comprises the following raw materials: 5.0% of formic acid, 1.0 w / v% of sodium formate, 2-4 v / v% of formaldehyde, 0.1 w / v% of EDTA disodium salt, 1.0 v / v% of propylene glycol, 0.1 v / v% of a tissue penetrant, 0.1 w / v% of vitamin C and the balance of water, and the pH value is 3.0. The invention further provides a preparation method and application of the bone marrow tissue rapid decalcification liquid. The weak acid-chelating agent synergistic buffer system is creatively adopted, the stabilizer, the penetrating agent and the antioxidant are added, optimal treatment of rapid decalcification of the bone marrow tissue is truly achieved, and the kit has the advantages of good cellular morphology and antigen preservation and is suitable for rapid and accurate pathologic diagnosis of the bone marrow tissue.

The invention discloses an electromagnetic interference-free ultrashort wave intelligent physiotherapy self-adaptive regulation and control system based on biofeedback, and belongs to the technical field of medical physiotherapy. The system solves the problems that an existing system cannot carry out real-time adjustment according to the physiological reaction of a patient individual, and treatment parameters are difficult to accurately regulate and control, and auxiliary features are generated by obtaining the individual features and real-time physiological data of the patient and combining context features; predicting probability distribution of tissue reaction by using a neural network model, calculating a confidence interval of the probability distribution, and automatically generating an initial treatment mode by comparing the confidence interval with a threshold value; the treatment effect is simulated, and possible complications and adverse reactions are predicted; evaluating curative effects and risks under different treatment parameter combinations by combining a Pareto frontier map, and automatically generating an optimal treatment parameter combination; treatment parameters are adjusted in time according to the real-time response of the patient, and the dynamic adaptability of the treatment process is ensured, so that personalized treatment is realized, and the treatment effect and the patient satisfaction are improved.

The invention relates to a treatment device for carrying out an intermittent treatment of at least part of the body of a person using negative pressure and / or positive pressure. According to the invention, in order to improve the known treatment device in such a way that, for a given indication of the treatment, the individual constitution of the person to be treated can be automatically appropriately taken into account, a "human-machine interface" is provided in the treatment device which detects selected vital values of the person to be treated in order to, by means of a controller, individually determine the treatment parameters, i.e. the duration of the negative and / or positive pressure phases and the magnitude of the negative and / or positive pressure, taking into account the vital values, in order to thereby achieve optimal treatment results.

The invention relates to the technical field of medical data acquisition and sharing, and discloses a life data acquisition and sharing method and system. The life data acquisition and sharing method is applied to medical health service equipment and specifically comprises the following steps that S101, an uploading request transmitted by a service terminal is received, and the uploading request carries medical record data to be stored, updating time of the medical record data and a file format of the medical record data; s102, obtaining a content text of the medical record data and a file format of the medical record data; the life data of the user is collected and stored in real time, and the medical health service equipment is also associated with institutions such as hospitals, communities and the like, so that all physical characteristics and symptoms of the patient of the user are comprehensively known, the medical history information of the patient is acquired at the first time, targeted treatment is performed, the optimal treatment time is prevented from being delayed, and the treatment efficiency is improved. Casualties are caused by missing the optimal treatment time, and the treatment efficiency is improved.

The utility model discloses a surgical puncture needle calibration device based on optical tracking, which comprises a to-be-calibrated device, the to-be-calibrated device comprises a puncture needle body, a structure module and a positioning module, and the puncture needle body comprises a sharp end and a connecting end; the structural module comprises a rigid body, the rigid body comprises a connecting piece, a structural piece and a medium channel, and the connecting piece is connected with the connecting end; the positioning module comprises a space positioning piece and a supporting piece, and the supporting piece is connected to the same side face of the rigid body; the calibration device comprises a box body module, a carrying module and a measurement module, the box body module is used for providing support during calibration, the carrying module is used for supporting the puncture needle body, and the measurement module is used for determining the posture and position of the calibration device. The position of the needle point of the puncture needle can be accurately calibrated, the puncture needle can be conveniently and accurately punctured into an affected part, and the optimal treatment effect is achieved.

The invention relates to a proportion-locked in-situ gel for tumor chemoimmunotherapy as well as a preparation method and application of the proportion-locked in-situ gel. The in-situ gel comprises a pharmaceutical composition and sodium alginate (ALG), wherein the pharmaceutical composition is composed of gemcitabine (GEM), oxaliplatin (OXA) and cytidine deaminase inhibitor chidauridine (CDZ), and the sodium alginate (ALG) is used as a carrier. The in-situ gel is subjected to intratumor injection and then gelation is triggered by Ca < 2 + > in a tumor, so that local retention and synchronous slow release of the medicine are realized. Metabolic inactivation of GEM is inhibited through CDZ, the optimal treatment proportion of GEM and OXA is maintained at the tumor site, and meanwhile the in-situ gel solves the problems of systemic toxicity and proportion imbalance caused by traditional intravenous administration. The synergistic effect of the pharmaceutical composition not only enhances direct cytotoxicity, but also synergistically activates anti-tumor immune response through OXA-induced immunogenic cell death and GEM-mediated regulatory T cell depletion. The invention realizes safe and efficient local chemical immunotherapy, and has a good clinical application prospect.

The utility model relates to the technical field of medical instruments, and discloses a sputum excretion device with a high matching degree, which comprises an outer shell and funnel blocks, the funnel blocks are arranged in the outer shell, balls are movably arranged in the funnel blocks, and a plurality of funnel blocks and balls are arranged in the outer shell in a matched mode. The multiple matched funnel blocks are different in caliber, the multiple matched balls are different in size, and the multiple funnel blocks different in caliber and the multiple balls different in size are provided in a matched mode, so that the matching degree and applicability of the sputum excretion device are remarkably improved, and the sputum excretion device can meet the treatment requirements of different patients; the sputum excretion device effectively solves the problems that balls with fixed sizes are usually arranged in an existing sputum excretion device, differences among patients of different age groups and body types are ignored in the existing design, the optimal treatment effect of adult patients and child patients is difficult to meet at the same time, and individuation and accuracy of treatment schemes are limited to a certain extent.

The invention discloses an interaction method and system based on a water station system agent, and belongs to the technical field of agent interaction, and the technical scheme is characterized by comprising the following steps: obtaining a water quality monitoring parameter corresponding to each sub-region in a water area; identifying an abnormal area according to the water quality monitoring parameters, wherein the abnormal area comprises a plurality of sub-areas; and according to the risk coefficients corresponding to the plurality of sub-regions, determining an optimal processing device in the plurality of processing devices corresponding to the plurality of sub-regions. And the decision-making layer fuses Bayesian reasoning and a virtual self-game algorithm to quantify the comprehensive utility of the processing equipment corresponding to each sub-region, and in the face of a new exception type, parameters are finely adjusted through less data, so that model parameters can adapt to an unknown exception type. Cooperative treatment of cross-regional water pollution is realized.

The invention discloses a treatment method for regulating hypoxic ischemic brain injury of newborn mice through Prxl2b, and relates to the technical field of hypoxic brain injury. Accurate timing of treatment intervention is achieved, an optimal treatment time window is defined by establishing an oxidative stress mechanical model, it is ensured that supplementation or activation of Prxl2b plays the maximum effect in the stage where oxidative stress is most active and strongest in destructiveness, blindness of empirical drug administration is overcome, and the treatment intervention accuracy is improved. The initial injury volume and the administration delay time are quantified into calculation parameters of a mathematical model, so that the initial load dose and the maintenance dose can be customized for each model mouse, and the treatment intensity is accurately matched with the injury severity; the curative effect is maximized; and the excessive risk is potentially reduced.

The invention belongs to the technical field of environmental governance and artificial intelligence, and provides a multi-target pollutant governance scheme optimization method, device, equipment and medium, and the method comprises the steps: carrying out the feature extraction of multi-target pollutant data, and obtaining multi-target pollutant features; determining physical and chemical constraints by adopting a pollutant reaction kinetic equation and a mass transfer and heat transfer coupling equation; determining a pollutant treatment domain knowledge graph according to the pollutant treatment knowledge base and domain expert knowledge, and constructing inference input according to the pollutant treatment domain knowledge graph and a graph neural network GNN; taking the reasoning input as the context of the CoT large model, and performing multi-path reasoning of the CoT large model by adopting a Monte Carlo tree search method to obtain a reasoning result; and performing multi-objective optimization on the reasoning result according to the objective function to obtain an optimal treatment scheme. The method has the beneficial effects that the optimization efficiency and the treatment efficiency of the multi-target pollutant treatment scheme are improved.