8results about How to "Optimize treatment plan" patented technology

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 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 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 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.