1246 results about "Treatment regimen" patented technology

The invention discloses a heart failure treatment aid decision generation system based on multi-modal data fusion, and the system comprises a data collection module which is used for collecting the multi-modal data of a patient, and the multi-modal data comprises structured data, unstructured data and medical image data; the data processing module is used for carrying out standardization, quantization and vectorization processing on the multi-modal data; the knowledge graph construction module is used for constructing a knowledge graph of heart failure treatment, and the knowledge graph comprises a disease entity, a pathological feature, a treatment scheme and an association relationship thereof; the reasoning module is used for generating a personalized treatment decision based on the knowledge graph and the patient data; and the treatment scheme generation module is used for dynamically adjusting and outputting a personalized treatment scheme in combination with the real-time state data of the patient. The problems that multi-modal data are difficult to fuse and real-time disease change is difficult to dynamically adjust in heart failure diagnosis and treatment are solved, accurate diagnosis and personalized treatment are realized through knowledge graph reasoning and a dynamic correction mechanism, and the diagnosis and treatment efficiency and accuracy are remarkably improved.

The invention relates to a chronic heart failure dynamic course evolution prediction model construction method. Comprising the following steps: uniformly mapping continuous variables including LVEF and heart rate and event variables into a time trajectory frame through an event alignment and time domain nesting strategy; using a local change rate algorithm to identify inflection points including states before acute deterioration and intervention reactions in the course of disease of each patient; constructing a state fragment set for supporting hierarchical modeling in an evolution stage; a bidirectional fusion method of trajectory clustering and medical knowledge embedding is used to construct a state space with clinical interpretability including a compensation period, edge decompensation and an acute deterioration period; taking the trajectory vector as a main input, taking a state space as a prediction target, and introducing a dual-channel structure; predicting a future path based on the current state; the disease course track change of early medication / non-hospitalization / treatment scheme change is simulated; a doctor is supported to deduce a result; the change of the output state is analyzed through perturbation of the current trajectory, and key variables are found out.

The invention aims to provide an acne precise treatment and drug delivery system based on multi-modal data and feedback control. The system comprises an image acquisition and identification module, which carries out acne focus identification on an obtained skin image based on a deep learning algorithm, and extracts focus feature data; the sensor acquisition module is used for acquiring skin physiological parameters and environmental parameters related to acnes; the multi-modal fusion module carries out fusion processing on the focus characteristic data, the skin physiological parameters and the environmental parameters to generate current acne state parameters; the digital twinborn prediction module constructs a digital twinborn model of the patient according to the current acne state parameters and predicts the development trend of acnes; the individualized treatment decision module formulates an individualized treatment scheme and a corresponding administration dosage according to a prediction result of the digital twinning prediction module; and a set of system capable of realizing multi-source data acquisition, automatic evaluation, prediction analysis and personalized treatment scheme recommendation of the acne of the patient is constructed.

The invention relates to an auxiliary diagnosis and treatment method, device and equipment and a storage medium, and the method comprises the steps: verifying the quality of medical data through an intelligent matching mechanism, and generating a supplementary signal containing standardized guidance for unqualified image data in real time; a cross-modal fusion technology is adopted to integrate the tongue image, the pulse image, the image and the inspection data, and a comprehensive feature vector of a unified dimension is constructed; outputting correlation mapping of the traditional Chinese medicine syndromes and the western medicine diseases based on the pathological reasoning model, and generating a drug treatment scheme and a non-drug treatment scheme through a treatment scheme reasoning model; and finally, dynamically optimizing the dialectical logic parameters and the treatment weight parameters according to user feedback. The method solves the problems of difficulty in multi-source medical data fusion, one-sided diagnosis basis and lack of curative effect feedback closed loop, significantly improves the accuracy and adaptability of personalized diagnosis and treatment, and provides standardized intelligent support for traditional Chinese and western medicine combined diagnosis and treatment.

The invention discloses a CNN-Transform method based on multi-scale feature interaction, and mainly relates to the technical field of medical image analysis. Comprising the following steps: S1, acquiring sufficient amount of pancreas and tumor CT data, labeling the data, defining an ROI (Region of Interest), and distributing corresponding labels; s2, dividing the data set obtained in the step S1 into a training set and a test set, and preprocessing the training set and the test set by a data enhancement method including random rotation, scaling and mirroring; and S3, a CNN-Transform pancreas and tumor segmentation model PanUNet based on multi-scale feature interaction is constructed. Visual and accurate image information can be provided for doctors through accurate pancreas and tumor segmentation, personalized treatment schemes can be formulated in time, and the survival rate of patients is increased.

The invention belongs to the field of bioinformatics, and relates to an anti-cancer drug response prediction method based on an attention mechanism. The method comprises the following steps: firstly, capturing uniform-dimension drug and cancer cell line characteristics through a multi-layer perceptron; secondly, fusing drug characteristics by adopting a Transform encoder, and constructing a cell encoder for cancer cell line characteristic polymerization; then, designing a cross-modal cross fusion module to promote information interaction between the two; and finally, predicting a semi-suppressed concentration value subjected to logarithmic transformation between the two through a multi-layer perceptron. Experimental results show that compared with an existing optimal method, the method has the advantage that the RMSE is reduced by 2.9%. According to the method, accurate prediction of the anti-cancer drug response is achieved by integrating drug and cancer cell line data, screening of potential anti-cancer drugs can be accelerated, personalized treatment schemes can be optimized, the cure rate of cancer patients is further increased, and the method has great significance in cancer treatment.

A neurostimulation system that has a programmer which has a power supply and processors with processing circuitry and a neurostimulation device which has power supply, processors and communication circuitry for providing communication with a neurostimulation device as well as communication circuitry for communication with the programmer. The neurostimulation system is configured to deliver treatment to a patient in accordance with a clinician prescribed protocol of a regimen. The neurostimulation system compares a delivered therapy treatment which has a treatment protocol to a defined treatment protocol of a prescribed treatment and adjusts the prescribed treatment stimulation parameters to compensate for a difference between the delivered neurostimulation therapy treatment and the prescribed treatment protocol for closely approximating the prescribed treatment protocol.

The invention provides a drug screening and curative effect evaluation method and system based on a glioma organ-like model, and relates to the technical field of biological material analys.The method includes the steps that a three-dimensional fluorescence image of the glioma organ-like model is collected, signal intensity analysis and compensation processing are carried out, a growth feature mapping model is constructed, and the three-dimensional fluorescence image of the glioma organ-like model is obtained; and phenotypic characteristics for representing the glioma organoid heterogeneity are obtained. Inputting the phenotypic characteristics into a drug response evaluation network, and calculating a drug sensitivity score; the drug molecular feature library and the drug collaborative analysis model are combined, the synergistic interaction index of different drug combinations is calculated, the optimal drug combination is screened, the drug administration dosage and the drug administration time sequence are determined in combination with phenotypic features, and finally an individualized treatment scheme is generated. According to the invention, the curative effect of the drug on the glioma organs can be effectively evaluated, and the optimal drug combination and administration scheme can be screened out, so that the accuracy and effectiveness of glioma treatment are improved.

The present invention relates to bispecific antibodies (bsAbs) and the use of such antibodies in the treatment of disease in subjects. Moreover, advantageous treatment regimens are provided for the treatment of B-cell Non-Hodgkin Lymphoma (B-NHL).

The invention discloses a traditional Chinese medicine diagnosis and treatment aided decision-making method and system, and relates to the technical field of traditional Chinese medicine intelligent diagnosis and treatment aided decision-making, and the method comprises the steps: carrying out the wavelet transformation analysis of pulse condition waveform time series data, extracting a pulse condition dynamic change feature sequence, inputting a tongue image color change rate and a pulse condition feature change rate into a space-time convolution network, and obtaining a time-space convolution network; generating a tongue pulse dynamic association index and outputting a preliminary syndrome classification; fourier transform analysis is carried out on the spleen channel acupoint impedance spectrum, false-true state judgment is carried out in combination with tongue pulse dynamic correlation indexes, preliminary syndrome classification is corrected, and a false-true state quantification result and corrected syndrome classification are output; and matching the corrected syndrome classification with the traditional Chinese medicine knowledge map, adjusting the dosage according to a virtual-real state quantification result, reversely verifying the drug-syndrome specificity through a curative effect database, screening an optimal treatment scheme, and outputting a personalized diagnosis and treatment scheme. According to the method, the syndrome classification precision is improved, and an objective basis is provided for personalized dose adjustment.

The invention discloses a method, a system and equipment for evaluating the treatment effect of CGRP on epilepsy or brain injury caused by epilepsy. It is found for the first time that CGRP inhibits expression of P2RX7 by inhibiting a JAK-STAT1 pathway so as to play a role in treating epilepsy or brain injury caused by epilepsy. On the basis, the invention provides a method, a system and equipment for evaluating the treatment effect of the CGRP on the epilepsy or the brain injury caused by the epilepsy for the field, so that a doctor is assisted in evaluating the treatment effect of a patient suffering from the epilepsy or the brain injury caused by the epilepsy, and a clinician is guided to formulate an individualized treatment scheme for the patient.

System and methods for alerting a healthcare provider to prescribed treatments having reduced or no effectiveness due to genetic composition is provided. A database containing treatments known to have reduced or no efficacy in persons having particular genetic markers is queried to determine whether any treatments prescribed by, or likely to be prescribed by, a healthcare provider to the patient are known to have reduced or no efficacy in persons having the same certain genetic markers as the patient. An alert indicating such information is displayed at a healthcare provider system.

The invention discloses an AI syndrome differentiation and treatment model system suitable for a multi-dimensional difference environment, which comprises a data integration layer and a three-cause characteristic processing and dynamic dialectical model, and is characterized in that the data integration layer comprises outpatient service data, hospitalization data, follow-up visit data, physical characteristics, pathogenesis solar terms / five-transportation six-qi and regional medicinal material relationships; the three-factor feature processing comprises human-factor feature processing, time-factor feature processing and place-factor feature processing; the dynamic dialectical model comprises multi-modal data fusion, three-factor weight dynamic allocation and curative effect correction syndrome reasoning. The syndrome differentiation accuracy of chronic epigastric pain patients reaches 89.2%, the clinical curative effect and acceptability of a treatment scheme are improved, the average iteration period of the model is shortened to 72 h through a feedback closed-loop system, the method deeply conforms to Chinese geographical population characteristics, and the method has the advantages of being high in adaptability and good in application prospect through an environment perception-physique evaluation-dynamic syndrome differentiation three-level linkage mechanism. Precise diagnosis and treatment of one person with one prescription at once is achieved, and core technical support is provided for modernization of traditional Chinese medicine.

The invention belongs to the technical field of biotechnology and animal models, and discloses a double-person-derived mouse model for simulating a tumor immune microenvironment and a construction method and application thereof. The method comprises the following steps: firstly, pretreating NSG immunodeficient mice by adopting low-dose whole-body irradiation in combination with double-antibody targeted bone marrow depletion, and transplanting CD34 + hematopoietic stem cells from the same human donor to complete human immune system reconstruction; separating tumor primary cells, tumor-related fibroblasts and tumor vascular endothelial cells of the same donor, performing three-dimensional co-culture to obtain homologous human tumor organs, and performing in-situ inoculation to immune reconstruction mice to obtain a target model. The core defects of MHC mismatching, low immune reconstruction efficiency, poor tumor immune microenvironment simulation degree, low clinical consistency and the like of an existing model are overcome, and the method can be used for tumor immune treatment drug screening, microenvironment mechanism research and personalized tumor treatment scheme verification.

The invention relates to the technical field of biological medicines, in particular to an iRGD targeted and anti-fibrosis small molecule dual-modified exosome as well as a construction method and application thereof. The exosome utilizes the specific binding penetration enhancement effect of iRGD (the amino acid sequence is CRGDKGPDC) and a fibroblast high-expression integrin receptor, so that the enrichment efficiency of the exosome at a focus part is improved; the anti-fibrosis micromolecule Let-7a-5p can inhibit a TGF-beta signal channel by blocking Smad2 / 3 phosphorylation, and the anti-fibrosis micromolecule Let-7a-5p and the anti-fibrosis microRNA carried by the exosome generate a synergistic anti-fibrosis effect; the exosome phospholipid bilayer can also protect Let-7a-5p from enzymolysis and prolong the half-life period, and iRGD modification can reduce the non-targeted uptake rate. An animal model verifies that the double-modified exosome has a good skin fibrosis resisting effect, and side effects such as liver and kidney function damage are not found. The invention provides an effective and safe treatment scheme for resisting skin fibrosis.

The invention discloses a traditional Chinese medicine five-tone treatment personalized music generation system based on a large language model and a construction method thereof. The invention designs a double-layer architecture technical route of firstly performing traditional Chinese medicine syndrome differentiation decision and then generating five-tone music. Meanwhile, according to the characteristics of traditional Chinese medicine syndrome differentiation treatment individuation and five-tone therapy accuracy, an intelligent syndrome differentiation engine based on a large language model and a five-tone music generation framework based on traditional music pre-training are provided, and the treatment thought of traditional Chinese medicine treatment based on syndrome differentiation and according to different persons is achieved through multi-dimensional health information fusion and a five-tone feature constraint mechanism. The technical problem of fusion of the traditional Chinese medicine theory and the modern AI technology is solved. The intelligent level and the individuation degree of the treatment scheme are remarkably improved while the theory integrity of the traditional Chinese medicine five-tone therapy is kept, and a complete technical solution is provided for modern application of traditional Chinese medicine music treatment.

The invention discloses a composition for treating prostatitis and a preparation method and application thereof. The composition is prepared from the following components in parts by weight: 5 to 15 parts of ergothioneine, 10 to 20 parts of cistanche total glycosides, 25 to 45 parts of phytosterol, 450 to 550 parts of pumpkin seed oil, 180 to 250 parts of fructus cannabis oil and 250 to 350 parts of auxiliary materials. Through the synergistic effect of various natural active components, the composition maintains the balance of overall metabolism of a body while reducing inflammation and inhibiting prostate cell proliferation, side effect risks possibly brought by a traditional single-component treatment scheme are avoided, and the composition has higher clinical application potential. The composition disclosed by the invention has a wide market application prospect and popularization value by virtue of good safety and compliance.

Pulmonary treatment devices, systems and methods of use are provided which take into account the vast tissue damage of advanced COPD sufferers and provide treatments designed specifically to treat the particularly compromised lung tissues that are present in these patients. These treatments reduce trapped air volume, tension lung tissue and enhance lung elastic recoil. In particular, a variety of embodiments of pulmonary treatment devices are provided. The devices are comprised of a shape memory material wherein the devices are able to be expanded under tension, and then are able to recoil back toward an original relaxed or resting shape as the devices are deployed into the tissue. This action causes the pulmonary treatment devices to corkscrew into damaged tissue, becoming sufficiently entwined to allow pulling of the tissue by retraction of the device. This in turn re-tensions the lung causing lung volume reduction.

The invention discloses a klebsiella pneumoniae bacteriophage vBKpnPGZMUVR2301 and application thereof, and relates to the technical field of biology. The klebsiella pneumoniae bacteriophage vBKpnPGZMUVR2301 is preserved in Guangdong Microbial Culture Collection Center on October 14, 2024, the preservation address is the 5th floor of the building 59, No.100 Courtyard, Xianlie Middle Road, Guangzhou, and the preservation number is GDMCC No: 65268-B1. The bacteriophage keeps stable titer in a wide pH range (4-10) and a temperature interval (4-50 DEG C), and the highest titer can reach more than 109 pfu / mL. The bacteriophage can efficiently split klebsiella pneumoniae. The invention provides powerful technical support for developing novel antibacterial drugs and treatment schemes for klebsiella pneumoniae, and shows wide application prospect and potential clinical value.

Provided herein is a consensus molecular subtype (CMS) classifier for colorectal cancer patients. Also provided are methods of using the classifier to identify a clinically beneficial therapeutic regime for each patient as well as methods of treating a patient accordingly Custom Nanostring code sets, which work on formalin-fixed, paraffin-embedded samples, are provide for use in determining the CMS for a colorectal cancer patient.

A system for dispensing hair care formulations including a communication device that includes processing circuitry capable of taking a photo of a user's hair, uploading the photo into an application on a communication device, applying an algorithm to the photo to detect one or more hair features, sensing one or more environmental conditions with one or more sensors, and recommending a hair care treatment regimen of one or more hair care formulas based on the one or more hair features, and the one or more environmental conditions. The system also includes one or more cartridges containing one or more hair care formulas, and a dispensing device configured to dispense one or more hair care formulas from the one or more cartridges based on the hair care treatment regimen.

Pulmonary treatment devices, systems and methods of use are provided which take into account the vast tissue damage of advanced COPD sufferers and provide treatments designed specifically to treat the particularly compromised lung tissues that are present in these patients. These treatments reduce trapped air volume, tension lung tissue and enhance lung elastic recoil. In particular, a variety of embodiments of pulmonary treatment devices are provided. The devices are comprised of a shape memory material wherein the devices are able to be expanded under tension, and then are able to recoil back toward an original relaxed or resting shape as the devices are deployed into the tissue. This action causes the pulmonary treatment devices to corkscrew into damaged tissue, becoming sufficiently entwined to allow pulling of the tissue by retraction of the device. This in turn re-tensions the lung causing lung volume reduction.

The invention discloses a cold therapy method based on dynamic temperature feedback and intelligent adjustment, and the method comprises the steps: loading a cold therapy preset scheme from a database of a system, and carrying out the self-inspection of equipment of a sensing layer; collecting temperature distribution information of the skin surface of the treated part of the patient to obtain thermal imaging data; acquiring blood perfusion rate information; acquiring tissue moisture content and impedance phase angle information; establishing a temperature mapping relation from the skin surface to the deep tissue; the surface boundary condition is set as the skin surface temperature actually measured by the infrared array, and the deep boundary condition is set as an adiabatic hypothesis; and fusing the acquired multi-source observation data with the numerical solution result. The system has the advantages that accurate control over the cold therapy temperature is achieved, the protection response time is optimized, the safety of a patient in the cold therapy process is guaranteed, the treatment effect is improved, a doctor can conveniently make a personalized treatment scheme, efficient information interaction between the doctor and the patient is achieved, and the treatment experience of the patient is improved.

The invention discloses a nerve postoperative pain monitoring and feedback method and system, and relates to the technical field of medical information, and the method comprises the following components: a data acquisition step, a digital twin model construction step, a pain simulation step, a visualization and interaction step and a feedback and scheme making step. By constructing the digital twinborn model of the postoperative body of the patient, the postoperative physiological structure, the nerve function state and the pain-related physiological mechanism of the patient can be accurately simulated, and based on the model, a doctor can simulate different treatment schemes and pain responses under external stimulation, so that a more personalized pain management scheme is formulated, and the pain management efficiency is improved. According to the personalized management mode, the accuracy of pain management is remarkably improved, postoperative pain of the patient can be relieved more effectively, and the treatment experience and satisfaction degree of the patient are improved.

The invention discloses a brain tumor disease treatment effect evaluation method, and belongs to the technical field of radiotherapy plan evaluation, and the method specifically comprises the steps: obtaining the brain multi-modal image data of a patient, and extracting a three-dimensional tumor region and a corresponding perfusion parameter; constructing a biological target region hierarchical structure containing a tumor overall region and an anoxic subregion; a relative hypoxia degree parameter is obtained by calculating the cerebral blood flow ratio of the hypoxia subregion to other regions of the tumor; historical treatment case data are deconstructed, and a dose-curative effect associated parameter set is established; training and outputting a dose adjustment strategy model for the hypoxia subregion; and generating a final radiotherapy dose planning scheme according to a dose adjustment value output by the model in combination with a clinical guide basic dose. Through a data-driven dose decision-making mechanism, the limitation of traditional uniform dose irradiation is overcome, so that an objective and reliable evaluation basis is provided for clinical selection and optimization of personalized treatment schemes.

Systems and methods relate to processing optical tomography coherence (OCT) images to predict characteristics of a treatment to be administered to effectively treat age-related macular degeneration. The processing can include pre-processing the image by flattening and / or cropping the image and processing the pre-processed image using a neural network. The neural network can include a deep convolutional neural network. An output of the neural network can indicate a predicted frequency and / or interval at which a treatment (e.g., anti-vascular endothelial growth factor therapy) is to be administered so as to prevent leakage of vasculature in the eye.

The present invention provides improved and / or shortened methods for expanding TILs and producing therapeutic populations of TILs, including novel methods for expanding TIL populations in a closed system that lead to improved efficacy, improved phenotype, and increased metabolic health of the TILs in a shorter time period, while allowing for reduced microbial contamination as well as decreased costs. The methods may comprise gene-editing at least a portion of the TILs to enhance their therapeutic efficacy. Such TILs find use in therapeutic treatment regimens.

The invention discloses a pet physiological and psychological collaborative treatment system and method, and relates to the technical field of pet medical treatment, and the method comprises the following steps: continuously obtaining first behavior data, first respiration data and first physiological data of a pet at a time window; performing spatio-temporal change analysis on the first behavior data to obtain second behavior data representing behavior complexity; and performing nonlinear calculation on the first breathing data and the second behavior data to obtain second breathing data. According to the scheme, abnormal fluctuation caused by psychological factors is effectively separated through phase difference analysis and nonlinear calculation, in addition, judgment standards can be adaptively adjusted according to individual differences through dynamic clustering and mapping modeling, the suitability of a treatment scheme is remarkably improved, and accurate recognition and quantitative evaluation of the psychological stress state of the pet are achieved.

The present invention provides improved and / or shortened methods for expanding TILs and producing therapeutic populations of TILs, including novel methods for expanding TIL populations in a closed system that lead to improved efficacy, improved phenotype, and increased metabolic health of the TILs in a shorter time period, while allowing for reduced microbial contamination as well as decreased costs. Such TILs find use in therapeutic treatment regimens.

The present invention provides improved and / or shortened methods for expanding TILs and producing therapeutic populations of TILs, including novel methods for expanding TIL populations in a closed system that lead to improved efficacy, improved phenotype, and increased metabolic health of the TILs in a shorter time period, while allowing for reduced microbial contamination as well as decreased costs. Such TILs find use in therapeutic treatment regimens.