921 results about "After 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.

Systems and methods are disclosed for simulation of occluded arteries and / or optimization of occlusion-based treatments. One method includes obtaining a patient-specific anatomic model of a patient's vasculature; obtaining an initial computational model of blood flow through the patient's vasculature based on the patient-specific anatomic model; obtaining a post-treatment computational model by modifying portions of the initial computational model based on an occlusion-based treatment; generating a pre-treatment blood flow characteristic using the initial computational model or computing a post-treatment blood flow using the post-treatment computational model; and outputting a representation of the pre-treatment blood flow characteristic or the post-treatment blood flow characteristic.

The invention relates to the technical field of medical data analysis, in particular to a brain tumor curative effect analysis system which comprises a tumor data sensing layer for collecting multi-department diagnosis and treatment data, tumor image data and patient pathology monitoring data; the tumor feature processing center extracts data features, correlates data and core features before and after treatment through an attention mechanism, and generates a tumor complete-cycle unified feature map; the therapeutic effect dynamic analysis unit evaluates the therapeutic effect in stages, and outputs a therapeutic effect index and a recurrence risk value through a self-supervised model; the dynamic adaptation decision module is used for generating personalized treatment adjustment suggestions based on the dynamic change of the blood brain barrier in combination with the curative effect index, the recurrence risk value and the multi-omics characteristics of the patient; and the AI multi-department consultation unit automatically matches similar cases with field expert suggestions, and formulates a target diagnosis and treatment scheme based on a visual platform and multi-department doctor collaborative consultation in combination with personalized treatment adjustment suggestions. Therefore, the problems of lagging effect evaluation, insufficient diagnosis and treatment suggestions and the like in the prior art are solved.

The invention provides a continuous purification method of crude acetonitrile, and belongs to the field of acetonitrile purification. The continuous purification method of the crude acetonitrile comprises the following steps: rectification light component removal, membrane separation impurity removal, adsorption impurity removal and rectification purification. According to the continuous purification method of the crude acetonitrile, continuous purification of the crude acetonitrile can be realized, and meanwhile, the problems that new impurities are introduced by side reactions, the rectification efficiency and the rectification stability are influenced by treated products and the device is influenced by over-high alkalinity of the treated secondary rectification liquid due to the fact that sodium hydroxide and formaldehyde are adopted to treat the rectification liquid are avoided; the acetonitrile product with the purity meeting the requirement is prepared by continuously purifying the crude acetonitrile.

An interactive pain management system is provided comprising a laser treatment device and an application executing on the device that receives entry of identification information for a first patient and receives entry of a body region to receive treatment. The system also receives entry of a present pain level experienced in the body region, accesses stored information describing previously reported conditions of the first patient and based on the received entries and the accessed store information, determines a treatment regimen for the first patient. The laser treatment device executes the treatment regimen by manual administration by the first patient or a qualified technician. The system requests entry of the first patient's present condition, the condition comprising one of feeling worse, feeling better, and experiencing no change since an immediately previous treatment. Changes in the condition of the first patient are incorporated into the determination of the treatment regimen.

The invention discloses a building engineering waste treatment device with a classified storage function, and relates to the field of waste recycling, the building engineering waste treatment device comprises a treatment box and a material adding opening formed in the upper portion of the treatment box, a buoyancy separation chamber is arranged in the treatment box, and the buoyancy separation chamber and the material adding opening communicate with each other; and a floating collection mechanism is arranged above the buoyancy separation chamber. According to the building engineering waste treatment device with the classified storage function, by means of the ingenious layout of the buoyancy sorting chamber, waste such as wood and plastic is separated from building stone such as concrete, the waste is in a floating state, the waste sinks to the bottom, and then various substances are crushed through the first crushing mechanism and the second crushing mechanism, so that the waste treatment efficiency is improved. The solid waste is destroyed and conveniently recycled, after treatment is completed, materials are classified and stored through different classified storage boxes, the classified storage effect is achieved, useful metal objects in crushed objects can be sorted, and therefore the follow-up recycling process is greatly facilitated.

Systems and methods are described for generating accurate predictions of the post-treatment anatomy of a patient. The methods involve receiving one or more oral care arguments that describe the desired output from a trained machine learning model. One or more noisy representations of the patient's face and / or post-treatment dentition can be used to train a denoising diffusion probabilistic model. In deployment, an initially noisy image can be denoised, with conditioning on latent representations of the patient's pre-treatment photo and the post- restoration dentition. The methods may generate a digital representation of the patient's post-treatment appearance. These systems and methods enable improved predictive accuracy and enable treatment planning for orthodontics and dental restorative treatments.

The utility model discloses a TEG automatic cleaning furnace for cleaning a spinneret plate. The TEG automatic cleaning furnace comprises a control cabinet, a transfer device, a TEG cleaning device and a bearing support mechanism. The transfer device comprises a lifting driving mechanism, a swing driving mechanism and a support locking mechanism. According to the TEG automatic cleaning furnace for cleaning the spinneret plate, by means of cooperation of the lifting driving mechanism, the swing driving mechanism and the support locking mechanism, locking and hoisting of the bearing support mechanism can be achieved, and therefore the spinneret plate borne on the bearing support mechanism is automatically fed into the TEG cleaning device to be subjected to triethylene glycol cleaning treatment; and after treatment is completed, the bearing support mechanism and all the spinneret plates are lifted and taken out together, manual participation is greatly reduced, and the batch cleaning efficiency of the spinneret plates is effectively improved.

The invention discloses an adenine base editor for DFNB9 hearing loss repair, and belongs to the field of gene therapy of hearing repair. The fusion protein comprises nNme2Cas9, and adenine deaminase TadA-8e or TadA-8e-N108Q (adenine deaminase) or TadA-8e-N108Q-L145T (adenine deaminase). The invention further discloses a preparation method of the adenine deaminase. The amino acid sequences of the TadA-8e, the TadA-8e-N108Q and the TadA-8e-N108Q-L145T are respectively as shown in SEQ ID NO. 1 to SEQ ID NO. 3. The fusion protein and a guide RNA form a base editor. Compared with the prior art, the base editor is used as a treatment means, severe deafness can be recovered to a normal level, and the effect can be maintained for at least six months after treatment. In addition, the treatment window period is relatively long, and the method has clinical transformation significance.

Systems and methods are disclosed for simulation of occluded arteries and / or optimization of occlusion-based treatments. One method includes obtaining a patient-specific anatomic model of a patient's vasculature; obtaining an initial computational model of blood flow through the patient's vasculature based on the patient-specific anatomic model; obtaining a post-treatment computational model by modifying portions of the initial computational model based on an occlusion-based treatment; generating a pre-treatment blood flow characteristic using the initial computational model or computing a post-treatment blood flow using the post-treatment computational model; and outputting a representation of the pre-treatment blood flow characteristic or the post-treatment blood flow characteristic.

The invention discloses application of lobetyolin in preparation of a medicine for treating atherosclerosis, and belongs to the field of biological medicine. The atherosclerosis comprises atherosclerosis induced by a high methionine diet. Through verification, IL-33 in aortic tissues of ApoE <- / -> mice with high methionine diet is remarkably increased, and the expression level of IL-33 in the aortic tissues of the mice is remarkably reduced compared with that of a model group after the mice are treated by lobetyolin. It is proved that lobetyolin has a positive regulation effect on treatment of atherosclerosis. Through molecular docking analysis, the binding energy between the lobetyolin and the IL-33 is-7.3 kcal / mol, which indicates that the IL-33 and the lobetyolin have good binding stability. The invention provides a new idea for clinical treatment of atherosclerosis.

Described herein are methods of managing eosinophilic esophagitis (EoE) in a patient, wherein the patient records the number of episodes of dysphagia on a patient report outcome (PRO) questionnaire prior to and during the course of treatment. While on treatment, the number of episodes of dysphagia are reduced, as reported on the PRO questionnaire. In some embodiments, the esophageal eosinophils are counted before or after treatment, or both. In some embodiments, esophageal eosinophils counts are not correlated with a reduction in the episodes of dysphagia.

The present invention provides compositions comprising one or more ACAT inhibitors and one or more GLP-1 receptor agonists (GLP-1 RAs). The combination therapy reduces side effects associated with high-dose GLP-1 RA monotherapy and provides durable management of weight loss by suppressing rebound of body weight, blood glucose, and cholesterol levels after treatment.

A neural network is trained using a training corpus having a plurality of information features, each of the information features including both a reference radiation treatment dose and at least one corresponding post-treatment patient datum. By one approach, the at least one corresponding post-treatment patient datum comprises patient imagery such as, but not limited to, one or more computed tomography images. That trained neural network facilitates radiation treatment planning by generating resultant treatment efficacy probability information and resultant treatment complications probability information.

The invention belongs to the technical field of gene engineering, and discloses a cat serum albumin mutant as well as a CHO cell expression method and application thereof. The invention provides a cat serum albumin mutant Mut-FSA for the first time, and an optimized Mut-FSA sequence is finally formed by replacing the 558th K at the tail end of an FSA amino acid sequence with R. Compared with non-mutated FSA, the Mut-FSA can show more remarkable curative effect advantages in treatment intervention of cat hypoproteinemia or acute hemorrhage, in addition, the Mut-FSA not only can enable cats suffering from the hypoproteinemia to achieve rapid correction of serum albumin concentration within 24 hours after treatment intervention, but also can effectively improve the serum albumin level and overall prognosis of the cats. The recombinant FSA prepared by the invention not only can provide a more effective innovative therapy for cat hypoproteinemia or acute hemorrhage, but also has wide application prospect and industrialization value.

The invention belongs to the technical field of medical imaging, and relates to a method for predicting complete pathologic remission of head and neck squamous cell carcinoma and related equipment. The method comprises the following steps: respectively inputting a T1W sequence image before treatment, a T1W sequence image after treatment, a T2W sequence image before treatment and a T2W sequence image after treatment into an MR I multi-time sequence fusion module for decoupling feature extraction operation; inputting the time sequence fused T1W sequence MR I time sequence decoupling feature data and the time sequence fused T2W sequence MR I time sequence decoupling feature data into an MR I multi-sequence fusion module to carry out multi-sequence fusion operation; inputting the WSI image into a WSI feature extraction module to carry out WSI feature extraction operation; the MRI multi-sequence fusion feature data and the WSI feature data are input to an MRI-WSI multi-modal fusion module for cross fusion operation; and performing pCR prediction operation on the MRI-WSI cross fusion feature data according to a convolutional neural network and a multi-layer perceptron to obtain a pCR prediction result. The method can be independently competent for a multi-factor prediction task of pCR.

In some embodiments, the present disclosure relates to a method. The method includes extracting a plurality of pre-treatment features from one or more first regions of interest (ROI) within pre-treatment imaging data. Prognostic pre-treatment features are identified from the plurality of pre-treatment features. The prognostic pre-treatment features are determinative of a treatment response. A plurality of post-treatment features are extracted from one or more second ROI within post-treatment imaging data. Prognostic post-treatment features are extracted from the plurality of post-treatment features. The prognostic post-treatment features are determinative of the treatment response. Prognostic tumor diversity features are determined from a common subset of the prognostic pre-treatment features and the prognostic post-treatment features. A machine learning stage is operated to generate a medical prediction of the treatment response for a bowel cancer patient using the prognostic tumor diversity features.

A method and suture anchor for treatment of spinal stenosis. The method includes the steps of cutting off a muscle origin or insertion from a spinous process, cutting off the spinous process at the transition to the lamina arcus vertebrae, at least partial resection of the lamina arcus vertebrae and thereby decompression of the spinal cord within the foramen vertebral, performing osteosynthesis of the spinous process, and placing a suture anchor within the spinous process and reattaching the muscle origin or insertion to the spinous process. Further methods for spine stabilization are provided wherein suture anchors are used to implement a tension band wiring. Further methods for reduction of unwanted effects after spinal treatment are provided.

The invention discloses a pathological complete remission prediction method and device for non-small cell lung cancer neoadjuvant chemotherapy, and relates to the field of medical imagines.The method comprises the steps that a preoperative medical image and preoperative clinical data of a patient to be predicted are obtained; inputting the preoperative medical image and the preoperative clinical data into the trained pathology complete remission prediction model, and outputting a pathology complete remission result of the patient to be predicted by the pathology complete remission prediction model; the pathologic complete remission prediction model is constructed by using pre-treatment radiomics features, post-treatment radiomics features, difference-radiomics features, deep learning features and sample clinical data. Whether a non-small cell lung cancer patient receiving neoadjuvant chemotherapy reaches complete pathological remission or not is represented in a non-invasive mode, so that medical staff are assisted in formulating a personalized treatment scheme, and the clinical result of the patient is improved.

The invention discloses a wounded person management system based on a medical care AI robot and an application method, and relates to the technical field of artificial intelligence first aid, and the system comprises a triage emergency rescue module which is used for collecting and preprocessing vital sign data, calculating a comprehensive health score based on the preprocessed vital sign data, and carrying out the classification and emergency rescue; and the hospital guide psychological rehabilitation module is used for carrying out hospital guide and treatment according to the classification result, collecting facial expression images of the wounded after treatment and calculating the emotion intensity. According to the invention, a triage emergency rescue module is used for collecting and preprocessing vital sign data, calculating a comprehensive health score and carrying out classification and emergency rescue; the hospital guide psychological rehabilitation module is used for conducting hospital guide and treatment according to the classification result, collecting facial expression images of the wounded after treatment and calculating the emotion intensity; the efficiency and accuracy of emergency treatment are improved, delay and misjudgment in the process of wounded person treatment are reduced, and personalized and accurate suggestions for wounded person treatment are enhanced.

The invention relates to the technical field of environmental protection, in particular to a wastewater treatment process for butadiene extraction. According to the wastewater treatment process disclosed by the invention, the biodegradability of the wastewater is improved by adopting ultrasonic-microelectrolysis combined pretreatment, and various pollutants in the wastewater are efficiently removed through a series of innovative means such as synergistic biological treatment, a novel sulfide treatment method, an optimized advanced oxidation process and integration of membrane separation and concentration technologies. The treated wastewater is discharged after reaching the standard, the water resource recovery rate is remarkably improved, meanwhile, the treatment cost is reduced, and good economic and environmental benefits are achieved.

The invention discloses a sugar chain marker combination for predicting the recurrence risk of a gastric cancer patient after treatment and application of the sugar chain marker combination. The invention discovers that the levels of six specific N-sugar chains (NGA2F, NG1A2F, NA3, NA3Fb, NA4 and NA4Fb) in blood are obviously related to relapse during definite diagnosis of gastric cancer for the first time. On the basis, a gastric cancer recurrence risk prediction model GC-GPSS is constructed through Cox regression. According to the model, individual risk scores are calculated by using a quantification formula containing a fixed regression coefficient (beta), and patients are divided into a high-risk group and a low-risk group according to a preset threshold. A verification result shows that the model can effectively distinguish patient groups with different recurrence risks. The marker combination, the prediction model and the system provided by the invention provide a brand new tool for realizing earlier and more objective recurrence risk assessment in the early stage of gastric cancer diagnosis and treatment, and have important clinical application value.

The invention discloses an antibacterial peptide PA targeting multi-drug-resistant gram-negative bacteria and application of the antibacterial peptide PA, and the amino acid sequence of the antibacterial peptide PA is shown as SEQ ID NO.1. The antibacterial peptide PA provided by the invention has a remarkable antibacterial effect of the multi-drug-resistant gram-negative bacteria, is quick in bactericidal effect, does not have hemolysis and cytotoxicity, does not cause renal toxicity after treatment, and can be used for preparing the antibacterial peptide PA for treating the multi-drug-resistant gram-negative bacteria. The biological safety is good, and the compound can be used for treating bacterial infection and can also be applied to other scenes needing sterilization or bacterial growth inhibition.

The invention provides a method of treating or reducing the severity of thyroid-associated ophthalmopathy (TAO), also known as thyroid eye disease (TED) or Graves' ophthalmopathy or orbitopathy (GO), or a symptom or aspect thereof, in subjects that have undergone prior treatment for TAO, TED, or GO, and either did not respond to said prior treatment or relapsed after said prior treatment. The invention also provides antibodies, or antigen binding fragments thereof, and pharmaceutical compositions useful in the disclosed methods.

The invention relates to the field of C01B17 / 69, in particular to a dilute sulphuric acid concentration and desalination technology for dye production, waste sulphuric acid generated in the vat dye production process is automatically and efficiently treated by designing three-stage evaporation concentration, freezing crystallization and centrifuge desalination technologies, the waste sulphuric acid is concentrated to the concentration of 93-95%, resource recycling is achieved, and the cost is reduced. Meanwhile, inorganic salt in the waste sulfuric acid is fully separated, so that the regenerated sulfuric acid obtained after treatment meets actual use standards and requirements; the energy consumption is low, the efficiency is high, the operation treatment capacity is large, the waste acid treatment capacity reaches up to 27000 tons per year, and huge market application potential is embodied; the method is simple in process, high in operation automation control level, safe, stable and stable in operation, large-scale continuous production can be realized, and an efficient, safe, economical, continuous and reliable treatment method is provided for treatment of waste acid generated in the vat dye production process.

The present invention belongs to the field of biodegradation of mycotoxins, and specifically relates to a complex enzyme preparation for degrading aflatoxins, a complex enzyme preparation solution, and its preparation method and application. The complex enzyme preparation comprises: 35-45 wt% tyrosinase, 20-30 wt% cellulase, 8-12 wt% pectinase, 8-12 wt% xylanase, and 10-20 wt% mushroom laccase. Compared with existing chemical and biological detoxification technologies, the complex enzyme preparation of the present invention contains safe and non-toxic components, is simple to use, and has low economic costs. After treatment with the enzyme preparation solution, the cellulose and hemicellulose in the peanut meal are initially decomposed, making it easier for animals to digest and absorb, and having higher nutritional value and better economic benefits.

The invention discloses a regulation and control method for a magnetic domain structure of an iron-based amorphous alloy strip, which comprises the following steps of: (1) moving a to-be-nicked area of the alloy strip to a workbench through a transmission mechanism, pressing a cutter head on the strip through a six-axis robot arm, and driving a blade to move along the width direction of the strip through the six-axis robot arm, nicks which are arranged at equal intervals and are perpendicular to the length direction of the strip are carved on the free surface of the strip; and (2) the alloy strip subjected to mechanical nicking is subjected to longitudinal magnetic field heat treatment in an inert atmosphere, the magnetic field direction is the length direction of the strip, and water quenching is conducted after treatment. The mechanical nicking device is used for nicking the nicking lines with specific structures at equal intervals on the surface of the amorphous alloy strip, so that various periodic stresses including tensile stress and compressive stress are introduced into the surface of the amorphous alloy strip, and longitudinal magnetic field heat treatment with specific temperature and specific magnetic field intensity is cooperated; and the effects of greatly refining the magnetic domain width and reducing the loss are achieved.

The invention discloses a curative effect evaluation system for treating liver cancer by combining HDRBT with thermal ablation in multi-modal radiomics, and relates to the field of liver cancer treatment, and the system comprises a multi-modal image data acquisition module which is used for collecting multi-modal image data; the three-dimensional visual model construction module is used for reconstructing a three-dimensional structure of liver tumors, peripheral blood vessels and bile ducts through an image segmentation algorithm, and generating a visual model by fusing radiomics characteristics; the combined treatment plan generation module is used for integrating the dosimetry parameters of the HDRBT and the process parameters of the thermal ablation, optimizing a catheter implanting path, the position of a thermal ablation electrode and a treatment sequence, and generating a combined treatment scheme; and the curative effect evaluation module is used for quantitatively analyzing tumor volume change, ablation boundary integrity and residual tumor activity through accurate registration of multi-modal images before and after treatment. According to the scheme, the problems of incomplete thermal ablation and high recurrence rate of hepatocellular carcinoma can be solved, and full-chain technical support is provided for clinical precise application.

The present disclosure provides for methods of treating a patient with a CYP3A4 substrate drug, wherein the patient is treated with posaconazole. In some embodiments, the patient stops posaconazole treatment, waits for at least 2 days, and then is treated with the CYP3A4 substrate drug as soon as it is safe to do so. In some embodiments, treatment with the CYP3A4 substrate drug is delayed for about 2-42 days after stopping posaconazole. In some embodiments, the patient is treated with a reduced dose of the CYP3A4 substrate drug for about 2-42 days.

A prediction system includes: a terminal; and a processor, communicatively coupled to the processor. The processor is configured to: acquire medical treatment information including images captured at at least one of before, during, immediately after, and after a predetermined period from treatment of a patient with a symptom of a vascular disease; classify a condition of the patient based on a classification image; learn the medical treatment information in association with the condition of the patient; and predict at least one of a treatment effect and a prognosis when treatment intervention is performed for the patient based on a learning result.