16results about How to "Optimize treatment plan" patented technology

The invention discloses functional injection type bionic hydrogel for promoting bone healing and a preparation method thereof, and relates to the technical field of medical instruments. The hydrogel has good functional characteristics, is a biomimetic material prepared on the basis of methacrylated gelatin, and aims to regulate and control the degradation rate, the drug release mechanism and diversified synergistic treatment and promote bone repair and regeneration; according to the hydrogel, matching of the degradation rate and the bone regeneration rate is achieved through reasonable matching, stem cell osteogenic differentiation and angiogenesis are promoted, ultrasonic controlled-release drug release and synergistic controlled-release of active factors are achieved, inflammation is reduced, and the bone repair process is promoted; the calcium phosphate bone cement provides biocompatibility and bone conductivity, and the nano clay releases active ions to improve the microenvironment and promote bone repair; in addition, the magnetic nanoparticles and a static magnetic field have synergistic interaction, the bone healing process is further accelerated, and treatment effect monitoring is enhanced through magnetic resonance imaging.

The invention discloses an intelligent nursing method, an intelligent nursing system, a storage medium and a program product, and relates to the technical field of medical treatment.The method comprises the steps that electronic medical record data and physiological index data of a patient are obtained; determining personalized physiological index criteria of the patient based on the historical medical data; when at least any one physiological index does not meet the personalized physiological index standard, early warning information is pushed to a nurse terminal, and the disease development trend of the patient is evaluated according to the physiological index data; and when it is determined that the disease development trend is worsening, an emergency consultation request is pushed to a doctor terminal, and the electronic medical record data and the physiological index data of the patient are sent to the doctor terminal. By implementing the method, the nursing efficiency and precision are improved.

The invention discloses a thyroid disease course development time sequence analysis method based on an LSTM network, and the method comprises the following steps: 1, data collection and preprocessing: collecting time sequence data related to a thyroid disease course of a patient, and carrying out the standardization processing of the time sequence data; 2, constructing an LSTM network model: designing the LSTM network model, training the LSTM network model by using the time sequence data standardized in the step 1, and capturing a time dependency relationship in a thyroid disease course; and through cross validation and hyper-parameter tuning, the performance of the LSTM network model is optimized. According to the thyroid disease course development time sequence analysis method based on the LSTM network, time sequence analysis is carried out on the disease course data of a thyroid disease patient, the disease development trend is predicted, a scientific basis is provided for clinical decision making, doctors can better master the disease condition change trend of the patient, a treatment scheme is optimized, and the patient experience is improved. The prognosis of the patient is improved.

The invention relates to a prediction model for judging prognosis and immunotherapy response of ovarian cancer based on machine learning. The prediction model comprises the following steps: determining gene expression quantities of eight markers, namely ANGPTL4, AREG, CXCL10, FANCB, GMPR, IGF1, LYG1 and WNK 1. The invention also provides a gene combination kit for predicting the prognosis and immunotherapy response of the ovarian cancer and application of the gene combination kit. The invention provides a prediction model aiming at ovarian cancer, which is used for judging the prognosis of a patient, can assist in guiding immunotherapy and prognosis judgment, and helps to realize personalized treatment aiming at a specific patient. Experiments and tumor big data support the prognosis model, the prognosis and immunotherapy response of a patient can be effectively predicted by integrating various biological and clinical data, powerful support can be provided for individualized treatment, a treatment scheme can be optimized, and the survival rate and life quality of the patient can be improved.

The invention discloses a xanthene nitroreductase-responsive fluorescent dye compound as well as a preparation method and application thereof, and belongs to the technical field of xanthene derivatives. The fluorescent dye compound can be used for quickly and specifically recognizing overexpressed nitroreductase in tumor cells; after the fluorescent probe acts with nitroreductase, the fluorescence intensity of the fluorescent probe at 718 nm is obviously enhanced, and the fluorescent probe has excellent targeting capability on mitochondria; meanwhile, under the excitation of illumination with the specific wavelength of 660 nm, an acting product of the fluorescent dye compound and nitroreductase can efficiently generate reactive oxygen species (ROS), and then the effect of specifically killing tumor cells is achieved. The xanthene nitroreductase response type fluorescent dye compound provided by the invention can achieve the goal of integration of diagnosis and treatment of solid tumors, and has important clinical application value.

The invention belongs to the technical field of biological medicine, and relates to a kidney cancer axitinib drug-resistant cell model and a construction method and application thereof. The technical problems that in the prior art, a kidney cancer axitinib drug resistance mechanism is not clear, and a drug resistance target of the mechanism and a cell model of a molecular mechanism are lacked for research are solved. The invention provides a construction method of a kidney cancer axitinib drug-resistant cell model. The construction method comprises the following steps: constructing a nude mouse subcutaneous tumor-bearing model by using a kidney cancer cell line; when a subcutaneous tumor of a nude mouse reaches a target volume, after axitinib gavage treatment is performed on the nude mouse, first-generation drug-resistant kidney cancer cells are obtained through separation; shearing the tumor blocks into tumor blocks, inoculating the tumor blocks to the armpits of nude mice, and repeating the steps of gavage, separation and inoculation to respectively obtain second-generation and third-generation drug-resistant kidney cancer cells; and cutting the third-generation drug-resistant kidney cancer cells into pieces, digesting and culturing to obtain the kidney cancer axitinib drug-resistant cell model. The constructed kidney cancer axitinib drug-resistant cell model is applied to research of a kidney cancer cell targeted therapy drug-resistant mechanism and screening or preparation of kidney cancer targeted drugs.

The invention provides a gallwood extract gel and a preparation process thereof. The gallwood extract gel comprises the following raw materials in parts by weight: 1.8-5.8 parts of gallwood extract, 12.9-39.8 parts of aqueous gel matrix, 1.6-5.9 parts of penetration enhancer, 2.1-3.9 parts of nanocarriers and 1.2-1.9 parts of oligopeptides. The gallwood extract drug, the aqueous gel matrix, the penetration enhancer and the carrier nanomaterials are scientifically proportioned to synergistically exert the drug properties, and under the interaction between the stratum corneum and lipids of the skin, the diffusion resistance of the drug in the stratum corneum is reduced, the fluidity is enhanced, the onset time of the drug is shortened, the active ingredients of the drug in the gel are sustained-released within a certain period of time, and a higher permeability is achieved, so as to play a quick-acting role, and the highest permeability reaches 96.2% at 36 hours.

The invention discloses an intelligent analysis system and method for a medical atomization heating scheme based on medical demands, and relates to the field of medical data processing.The method comprises the steps that feature data of historical patients are collected, and a historical patient feature data matrix is constructed; collecting the feature data of the current patient, setting a similarity threshold, calculating the similarity between the feature data of the current patient and the feature data of each historical patient, and selecting a medical atomization heating scheme according to a calculation result; constructing an initial long-short-term memory network model, and training, testing and optimizing the initial long-short-term memory network model by using the historical patient feature data to obtain a final long-short-term memory network model; using the final long short-term memory network model to provide a medical atomization heating scheme for the current patient; according to the method, similarity analysis and deep learning are combined, personalized customization and automatic adjustment of the medical atomization heating scheme are achieved to adapt to different patients, the treatment effect is improved, and it is ensured that treatment is safe and effective.

The application discloses a feature automatic extraction method around a tooth boundary and a lesion recognition method, relates to the technical field of oral medicine, and comprises the following steps: acquiring a digital image of an oral X-ray apical film to be processed; performing automatic segmentation and contour extraction on a target tooth in the digital image of the oral X-ray apical film to obtain a tooth contour line of the target tooth; performing normalization processing on the tooth contour line; and traversing each boundary pixel point on the tooth contour line to generate an edge band feature map of the target tooth. The application can effectively extract local features highly related to lesions, especially features of a tooth boundary region, from the oral X-ray apical film, so that the recognition capability for early micro-lesions is improved.

The invention provides a multi-mode ultrasonic evaluation method for treating diabetic neuropathy through traditional Chinese medicine. According to the method, traditional Chinese medicine differentiation and modern multi-mode neural ultrasound technologies are combined, and high-frequency ultrasound, shear wave elastography and micro blood flow imaging are included. By performing applicability evaluation and personalized traditional Chinese medicine treatment on the patient, the change of the neurological function can be monitored in real time, so that the treatment effect is accurately evaluated. According to the technology, an innovative mode is provided, traditional Chinese medicine and the advanced imaging technology are combined, the treatment scheme is optimized, the DPN treatment accuracy and effect are improved, and remarkable clinical application value is achieved.

The invention relates to the technical field of medical instruments, and discloses a pediatric clinical breathing machine and a using method thereof.The pediatric clinical breathing machine comprises a support, the upper surface of the support is fixedly connected with a supporting disc, the upper surface of the supporting disc is fixedly connected with a first motor, and the output end of the first motor is fixedly connected with an eccentric disc; a sleeve is slidably connected to the outer wall of the fixing shaft, a connecting block is fixedly connected to the outer wall of the sleeve, adjusting plates are rotatably connected to the outer walls of the upper side and the lower side of the connecting block, clamping jaws are rotatably connected to the lower surfaces of the adjusting plates, and a bearing is fixedly connected to the outer wall of the middle of the connecting shaft. A first motor drives an eccentric disc to rotate, the eccentric disc pushes a connecting block around the eccentric disc to slide, the connecting block drives a sleeve to slide and drives an adjusting plate to rotate at the same time, and the adjusting plate drives a clamping jaw to knead a humidification bottle so that gas in the humidification bottle can be conveyed to a patient through a gas pipe. Respiratory support can be quickly provided for a plurality of patients.

The invention provides a method and a system for evaluating stratified prognosis survival risk rate of a glioma patient. The invention provides a glioma patient layering prognosis survival risk rate evaluation method, which comprises the following steps: obtaining expression quantity data of 13 LncRNAs in tumor specimen transcriptome sequencing of a glioma patient to be detected, and obtaining a prognosis survival risk rate score of the glioma patient to be detected according to the expression quantity data of the 13 LncRNAs, the stratification prognosis survival risk rate of the glioma patient to be detected is obtained. According to the evaluation method for the stratified prognosis survival risk rate of the glioma patient, stratified prognosis of the glioma patient is facilitated, a treatment scheme is clinically improved, excessive treatment is avoided, the treatment efficiency is improved, and a solution idea is provided for precise treatment of glioma.

The present application discloses a transcranial collection stimulation electrode, which relates to the field of microelectrode technology. The transcranial collection stimulation electrode includes: an electrode terminal, a stimulation component, a collection component and a fixing agent. The stimulation component includes a stimulation wire and a stimulation contact, and the two ends of the stimulation wire are directly electrically connected to the electrode terminal and the stimulation contact respectively, and the stimulation contact is used to be directly connected to the target receptor. The collection component includes a collection wire, and the collection wire has a connected implantation part and a conductive part, and the end of the conductive part away from the implantation part is directly electrically connected to the electrode terminal, and the end of the implantation part away from the conductive part is used to be implanted in the target tissue. The fixing agent is located on the upper end surface of the electrode terminal, and is used to fix the relative position between the electrode terminal and the stimulation component and the collection component. The transcranial collection stimulation electrode provided by the present application can penetrate deep into the tissue to stimulate and collect EEG signals.

The invention provides a CIPN information fusion method and system based on multi-modal information. The method comprises the following steps: evaluating a subjective questionnaire of a to-be-tested person; evaluating the walking speed and gait according to the walking video of the to-be-detected person; evaluating a finger fine movement skill of the to-be-tested person; evaluating the nerve conduction velocity of the to-be-tested person; the brain function of the to-be-tested person is evaluated; evaluating the brain structure of the to-be-tested person; and according to the subjective questionnaire, the walking speed and gait, the fine movement skills of the fingers, the nerve conduction speed, the brain function and the brain structure, information fusion is constructed. Compared with a traditional NCI-CTCAE grading system and an EORTC QLQ-CIPN20 questionnaire, the method has the advantages that the subjectivity and repeatability problems are solved, and the diagnosis accuracy and the treatment effect are improved.

The application provides a radiation pneumonia risk prediction method and system, which comprises the following steps: acquiring a CT image and a radiotherapy dose image, and performing rigid and non-rigid registration; adopting a piecewise linear normalization method to pretreat the registered radiotherapy dose image; adopting a CT feature extraction network to perform first feature extraction on the CT image, and simultaneously adopting an improved 3D convolution network to perform second feature extraction on the pretreated radiotherapy dose image; according to a multi-head cross attention mechanism and a position adaptive dynamic weighted fusion strategy, the first feature and the second feature are interactively modeled to obtain an interactive feature; the interactive feature is respectively delivered to a main task branch for predicting an RP risk score and an auxiliary task branch for generating a sensitivity heat map, and the RP risk score is output through the main task branch, so that more accurate and personalized RP risk assessment is realized.

This utility model relates to the field of respiratory masks, specifically a simple oxygen nebulizer mask for bronchoscopy. It includes a mask body connected to an oxygen tubing, a breathing port and a bronchoscope inlet, a connecting strap connecting the mask body to a breathing cap, an airtight plug connected to the breathing cap, the airtight plug being detachably connected to the breathing port, a connecting strip connecting the breathing cap to an inlet cap, a sealing plug connected to the inlet cap, and a detachably connected sealing plug to the bronchoscope inlet. The mask body has a sliding groove, a slider slidably connected to the side wall of the groove, a spring connected to the slider, and a sealing strip connected to the slider, which is slidably connected to the mask body. This utility model can prevent oxygen leakage from the bronchoscope inlet, ensuring the patient can continuously inhale a sufficient concentration of oxygen, maintain normal blood oxygen saturation, reduce risks during the examination, and provide basic support for the smooth conduct of the examination.