150 results about "Treatment options" patented technology

The invention discloses a disease prognosis evaluation and dynamic prediction method based on time sequence analysis, which comprises the following steps: acquiring disease prognosis medical data of a patient to construct a medical data time sequence set, extracting medical data time sequence characteristics and constructing a prognosis evaluation model, updating the prognosis evaluation model, and performing dynamic prediction. Inputting the to-be-evaluated patient disease prognosis medical data into the updated prognosis evaluation model to obtain a disease prognosis evaluation result, constructing a prognosis prediction model, inputting the to-be-evaluated patient disease prognosis medical data into the prognosis prediction model to obtain a disease prognosis prediction result, and updating the disease prognosis prediction result. And generating evaluation interpretation, prediction interpretation, a disease prognosis evaluation chart and a disease prediction trend chart. According to the method, the efficiency and accuracy of disease prognosis evaluation and prediction can be improved, timely and effective decision support is provided for clinic, the requirements of personalized medical treatment are met, and more accurate treatment schemes and rehabilitation guidance are provided for patients.

A Predictive Diagnostic Information Capability-Technology (PreDICT™) system (100) enables users including expert and nonexpert users to provide information regarding a condition of a subject and receive timely and accurate information regarding risk stratification, treatment options and other medical evaluation information. The illustrated system (100) generally includes a user device (102) for use by a user assisting a subject (104), a processing platform (108), and a network (106) for connecting the user device (102) to the processing platform (108). The system (100) may also involve an emergency response network (130) that includes public-safety answering points (PSAPs) (132). The processing platform (108) processes the sensor information and other information from the user device (102), determines risk stratification information as well as medical diagnosis and treatment option information based on machine learning technology, and provides output information to the user device to assist the user in treating the subject (104).

Provided herein are methods and immune biomarkers that identify progression and treatment options for multiple sclerosis (MS). Also provided are materials and methods for the prognosis, staging, and monitoring of MS in a sample and include methods of determining a subject as being at risk of developing MS. The methods include detecting at least one biomarker, such as CXCL13, CXCL10, CD27, NEFL, CCL4, and / or CCL3 in cerebrospinal fluid (CSF) in the subject; and administering a pharmaceutically effective amount of a treatment (e.g., tolebrutinib and potentially one or more additional therapies, such as an anti-CD20 therapy) to the subject.

Systems and methods are provided for monitoring health. An exemplary method includes: collecting a first data regarding a patient during an in-office visit; providing a remote monitoring service for remotely monitoring the patient's health; remotely collecting, using the remote monitoring service, a second data of the patient; providing a probabilistic network for assigning metric-based information to the plurality of data using a plurality of conditional probabilities; processing, using the probabilistic network, the first data and the second data using the probabilistic network; generating, using the processed plurality of data, one or more machine learning models for producing a knowledge base trained to recognize pattern types in the data; generating, using the knowledge base, one or more artificial intelligent features for recommending treatment options based on the data regarding the patient; and providing, using the one or more artificial intelligent features, one or more treatment recommendations for improving the patient's health.

The invention relates to the technical field of medical information, and discloses a CRRT treatment intelligent safety early warning system based on multi-modal fusion, and the system comprises a data collection and fusion module which is used for collecting multi-modal data from a plurality of heterogeneous data sources in real time, carrying out the standardization and fusion processing of the multi-modal data, and generating fusion data with a unified time sequence; the knowledge model library is used for storing medical knowledge, clinical guidelines and historical data related to CRRT treatment and trained early warning and decision models; according to the system, through multi-modal data fusion and machine learning, the crossing from passive alarm to active early warning is realized, and the safety of a patient is remarkably improved. The intelligent decision support can output an individualized treatment scheme, promote precise medical treatment and optimize resource utilization, the system integration and grading alarm mechanism effectively reduces the cognitive load of medical care, and the self-learning ability of the system ensures that an early warning model can be continuously evolved and promotes the continuous improvement of clinical treatment quality.

The invention provides a method, a device, a system and a program product for predicting an oral cavity state, and the method comprises the steps: obtaining a first three-dimensional scanning image of the same patient in the oral cavity at different times, the first three-dimensional scanning image being used for reflecting the oral cavity state of the patient; extracting one or more characteristic parameters for representing the oral cavity state from the plurality of first three-dimensional scanning images; according to the one or more characteristic parameters of the oral cavity state, evolution information of the oral cavity state is predicted through a prediction model, and the evolution information is used for evaluating the oral cavity health condition of the patient. The evolution information of the oral cavity state can be accurately predicted, and a more reliable basis is provided for diagnosis. The patient can intuitively know the evolution information of the disease, so that the understanding and cooperation of the patient on the treatment can be enhanced. For patients with special conditions, by predicting the evolution information of the oral cavity state, doctors can more accurately judge the treatment opportunity and formulate a more reasonable treatment scheme, and the treatment effect is improved.

Methods and systems for determining an expected disease treatment outcome upon treating a subject, methods and devices for selecting a treatment option for the subject, and methods of treating a subject for a disease, are described herein. The method can include receiving a plurality of subject characteristics for the subject; accessing a tree-based model corresponding to a treatment option for the disease, wherein the tree-based model is generated based on a plurality of prior patient characteristics and an associated treatment outcome for the corresponding treatment option; and determining from the plurality of subject characteristics and the tree-based model, an expected treatment outcome for the subject if the subject were treated with the corresponding treatment option.

The invention belongs to the technical field of medicinal chemistry, and relates to 3-amino-4-(2, 4, 5-trifluorophenyl) bornyl butyrate as well as a preparation method and application thereof. The 3-amino-4-(2, 4, 5-trifluorophenyl) bornyl butyrate has the following structure: the 3-amino-4-(2, 4, 5-trifluorophenyl) bornyl butyrate provided by the invention has an excellent hypoglycemic effect, has a low toxic effect on AC16 cells, and provides a treatment choice with better efficiency and higher safety for diabetics.

An object of the system according to the embodiment is to allow a user to efficiently collect information on medical facilities and treatment options and make an optimal selection.SOLUTION: A system includes a reception part, an analysis part, a provision part, and a reservation part. The reception unit receives information on medical facilities and treatment options from a user. The analysis unit analyzes the information received by the reception unit and generates a list of related medical facilities and treatment options. The providing unit provides the user with the list generated by the analyzing unit. The reservation unit performs reservation and inquiry based on the list provided by the providing unit.SELECTED DRAWING: Figure 1

Devices, systems, and methods for visually depicting a vessel and evaluating treatment options are disclosed. The methods can include obtaining pressure measurements from first and second instruments positioned within a vessel of a patient while the second instrument is moved longitudinally through the vessel from a first position to a second position and the first instrument remains stationary within the vessel; and outputting a visual representation of the pressure measurements obtained by the first and second instruments on a display, the output visual representation including a graphical display of a pressure ratio of the obtained pressure measurements and at least a portion of a pressure waveform of the obtained pressure measurements identifying a diagnostic period utilized in calculating the pressure ratio.

The present disclosure describes systems configured to recognize indicators of a medical condition within a diagnostic image and predict the progression of the medical condition based on the recognized indicators. The systems can include neural networks trained to extract disease features from diagnostic images and neural networks configured to model the progression of such features at future time points selectable by a user. Modeling the progression may involve factoring in various treatment options and patient-specific information. The predicted outcomes can be displayed on a user interface customized to specific representations of the predicted outcomes generated by one or more of the underlying neural networks. Representations of the predicted outcomes include synthesized future images, probabilities of clinical outcomes, and / or descriptors of disease features that may be likely to develop over time.

The invention belongs to the technical field of tumor immunotherapy, and relates to an anti-Claudin18.2 single-domain antibody, a multifunctional fusion protein, a recombinant natural killer cell (CT-CAR-NK), and preparation and application thereof. Through alpaca immunization and phage display library construction and panning, the single-domain antibody VHH-C18.2-1 specifically combined with Claudin18.2 is obtained, and the amino acid sequence of the single-domain antibody VHH-C18.2-1 is SEQ ID NO: 1. The amino acid sequence of the designed fusion protein is SEQ ID NO: 3, the fusion protein sequentially comprises a VHH-C18.2-1, a flexible Linker, a TGF-beta RII extracellular domain, a CD8alpha hinge region, a CD8alpha transmembrane region, a 4-1BB intracellular domain and a CD3zeta intracellular domain from the N end to the C end, and the fusion protein has the functions of targeting, resisting TGF-beta inhibition and activating signals. The fusion protein gene transfects human peripheral blood CD56 + CD3-NK cells through lentivirus to obtain CT-CAR-NK, in-vitro verification shows that the CT-CAR-NK still keeps efficient killing in an immunosuppression environment, tumor growth can be remarkably inhibited in vivo, the lifetime can be prolonged, and a safe and efficient scheme is provided for Claudin18.2 positive solid tumor treatment.

The invention relates to the technical field of medical image processing, in particular to an orthopedic surgery visualization method and device, equipment and a storage medium. Through multi-angle shooting of an operation area, providing of rich information, reduction of single-view-angle missing and accurate presentation of an actual situation, elastic imaging data reflects tissue elastic features, in the aspects of feature extraction and model construction, key information of shooting data and a three-dimensional point cloud coordinate set are extracted by using an accelerated robust feature algorithm, and a three-dimensional point cloud coordinate set is obtained. Constructing a rendering elastic model to visually display tissue elastic distribution; meanwhile, relevant data are acquired from a preset database, a skeleton healing evaluation model is constructed by using a clustering analysis algorithm, and the skeleton healing condition is scientifically evaluated; in a data analysis and result application stage, elastic imaging data are analyzed based on the two models to obtain visual data, and doctors are assisted to formulate a reasonable treatment scheme, so that the doctors can comprehensively understand an operation area and make a decision accurately and quickly, and the operation efficiency and quality are improved.

A system is provided.SOLUTION: A system, comprising: means for a user to input a diagnostic result; means for a server to pre-process the diagnostic result and extract key information; means for the server to interpret the diagnostic result using a AI model and generate therapy options; means for the server to present the interpretation result and the therapy options to the user; means for the server to search for recommended healthcare providers based on the diagnostic result and the therapy options; and means for a device to display the recommended healthcare providers to the user.SELECTED DRAWING: Figure 1

We provide the system. [Solution] An input means for inputting patient diagnostic information and image data, An analysis means that searches for similar cases from a past medical case database based on the data input via the aforementioned input means, A generation means that generates multiple treatment plans based on the results obtained by the analysis means, An evaluation means for calculating the suitability of the generated treatment options, A visualization means for visualizing and presenting the evaluation results obtained by the aforementioned evaluation means, A system that includes this.

This invention discloses an automated comparative analysis system and method for multiple clinical treatment options, belonging to the field of clinical data analysis. The system includes a data input layer, an analysis engine layer, and a structured output layer. It solves the technical problems of existing technologies, such as reliance on repetitive manual programming for multiple treatment option comparisons, fragmentation between matching analysis and multidimensional analysis, and difficulty in summarizing and reusing results. These problems include automatically triggering report generation and global index clustering based on joint significance judgment rules.

Conventional hospital management support systems are limited to a relative evaluation of patient attributes and medical departments, and do not accurately grasp the profitability and costs of each disease or treatment group. This makes it difficult to perform specific data analysis that directly leads to optimal allocation of medical resources, improved treatment efficiency, and management improvements. [Solution] This invention provides a "patient grouping management module" that groups patients based on specific treatments or diseases, and calculates and visualizes the profitability, costs, and profit margins of each group. Furthermore, by calculating management indicators for each patient group based on medical fees, drug price margins, and material margins, and visualizing and analyzing the results in real time, it builds a management support system that allows doctors and managers to specifically plan resource allocation and treatment strategies.

This invention provides a highly supportive mesh structure, comprising beam-column units and single expansion units. The beam-column units at both ends and the single expansion unit in the middle are connected to form a tubular mesh structure. Each single expansion unit is composed of single expansion grids axially connected by reinforcing bars, with the crests of radially adjacent single expansion grids arranged in an alternating pattern. This mesh structure exhibits strong radial support, low axial contraction, no sharp angles, and stable mechanical properties. It is adaptable to various cavities in the human body, enabling the establishment and maintenance of cavities blocked by various hard, sharp, and irregularly shaped foreign objects. This provides surgeons with a safer surgical procedure, increases their treatment options, and reduces patient pain and suffering during and after surgery.

The present application relates to a kind of double body position automatic switching combined magnetic therapy chair, including seat cushion and chassis, the bottom of the seat cushion is connected with frame body, magnetic therapy coil device is installed in the inside of the frame body, the magnetic therapy coil device is fixedly connected with chassis, both sides of the chassis are respectively equipped with plane four-bar mechanism, the top of the plane four-bar mechanism is respectively hinged with both sides of frame body, the top of the chassis is equipped with first pusher, and the push rod end of the first pusher is hinged with plane four-bar mechanism.The magnetic therapy seat cushion carries out pelvic floor treatment to patient in normal state, can be realized automatic switching by the plane four-bar mechanism of frame body bottom, it is convenient to carry out sacral nerve treatment to patient, so that treatment scheme is more diverse.Seat cushion changes body position treatment, whole operation process is easy to operate, i.e. reduce the workload of doctor, also improve the utilization of magnetic therapy seat cushion.

The invention relates to the field of clinical molecular typing, and discloses a novel PCOS subphenotype precise diagnosis and treatment platform, which comprises a case sample inclusion and queue construction module; a data acquisition and processing module; the key feature screening module is used for acquiring 12-dimensional feature data of the patient for sub-phenotype clustering; the unsupervised learning module is used for carrying out unsupervised clustering on the 12-dimensional feature data of the cases by adopting a K-Means clustering algorithm and dividing a PCOS patient group into five new subtypes; the XGBoost model construction module is used for constructing an XGBoost model by taking the five new subtypes as classification tags; and the typing prediction module is used for predicting the PCOS subphenotype by adopting the constructed XGBoost model. The invention provides a new set of fine-grained typing and prediction model and a subtype-based precise treatment scheme, and is suitable for subtype distinguishing and treatment guidance of PCOS patients.

This invention provides a treatment system for promoting dental pulp repair using oral stem cells, belonging to the field of oral treatment technology. The system utilizes a dynamic gene regulation module, an adaptive intelligent scaffold, and a bio-digital fusion interface in synergy. Through the dynamic gene regulation module and the adaptive intelligent scaffold, the efficiency and therapeutic effect of dental pulp regeneration are significantly improved. The dynamic gene regulation module employs a light-controlled CRISPR system to perform real-time gene editing on dental pulp stem cells, dynamically adjusting according to the needs of the regeneration stage. The adaptive intelligent scaffold, based on 3D printing technology and manufactured using a digital model of the patient's teeth, can dynamically release growth factors and optimize the microenvironment. This combination of personalized design and dynamic regulation allows for adaptive adjustments to meet the specific needs of the patient, not only improving the repair efficiency of dental pulp tissue but also enhancing the success rate of functional reconstruction. This provides patients with dental pulp injury with a more efficient and precise treatment option, promoting the personalized development of oral regenerative medicine.

A method and process for providing virtual screening of patients and medical personal implemented as a virtual universe in metaverse, typically with the help of a remote system having Artificial Intelligence with machine learning capability, for collection and presentation of patient's medical data is provided. Currently Doctors conduct virtual visits with patients to help collect patient's medical data and establish initial diagnosis. This is a time taking process and takes up a lot of the physician's and their assistant's valuable time and energy. Using the remote system to do the initial screening and collection of patients medical data for presentation to the physician before the virtual visit, will reduce the time physicians need to spend with the patient to arrive at a diagnosis. The capability will also help a physician to guide an assistant at a remote location to collect additional data of the patient.

The invention discloses a skin disease auxiliary system based on computer vision, and particularly relates to the technical field of skin disease assistance, which comprises a multi-modal data acquisition module, an image preprocessing module, a deep learning diagnosis module and a clinical decision support module, according to the method, integrated hardware for synchronously collecting visible light and polarized light images and temperature and humidity parameters is adopted, a focus area is automatically segmented through self-adaptive filtering denoising and an improved U-Net network, and a Dice loss function optimization model is adopted; the method comprises the following steps: constructing a double-branch CNN model, extracting lesion image features by a first branch, normalizing physiological parameters by a second branch, obtaining a disease classification result through a feature fusion layer, storing a skin disease clinical knowledge base, matching similar cases and treatment schemes according to diagnosis results, and generating a structured diagnosis report; if the diagnosis confidence is high, matching according to disease categories; otherwise, expanding the range to assist identification.

A mask-based diagnostic (MBD) system for remote patient monitoring that collects chemical biomarker data and non-chemical biometric data from patients in a non-invasive manner. The MBD can be used to monitor various medical conditions, including cardiovascular disease, lung cancer, diabetes, and respiratory diseases. The system consists of a mask having an exhaled breath condensate (EBC) collector that tests for chemical biomarkers in EBC. Non-chemical biometric data, such as temperature, heart rate, and blood oxygen levels can also be obtained using a wearable electronic device. The collected data is transmitted wirelessly to a remote server for aggregation, analysis, and interpretation using artificial intelligence (AI) algorithms. The AI algorithms detect patterns and trends in the patient data, which can be used for drug discovery, to identify health issues, adjust treatment plans, etc. The MBD can improve patient outcomes by providing real-time monitoring, early detection of health issues, and personalized treatment options.

Disclosed herein are system, apparatus, device, method and / or computer program product embodiments, and / or combinations and sub-combinations thereof, for detecting and displaying healthcare outlier data. Some embodiments involve: receiving a claim including a provider, an illness, a treatment, and a risk score based on the illness and the treatment; updating a metric associated with the provider based on the claim; normalizing the metric using the risk score, the illness, and the treatment; determining that the normalized metric is an outlier by: (1) comparing the normalized metric to a threshold and; (2) determining that the normalized metric is associated with a statistically significant number of claims; in response to determining that the normalized metric is an outlier, presenting an indication of the outlier to a user. In some embodiments, the presenting may further include transmitting an alert to user computing device associated with the user.

This invention discloses a polypeptide that specifically binds to the RNA-binding domain of the PRMT5 protein and its applications, belonging to the field of biomedical technology. The polypeptide specifically binds to the RNA-binding domain of the PRMT5 protein, and its amino acid sequence includes sequence A or sequence B. Sequence A is: LTNKKGFPVLSK; sequence B is: PGMFSWFPILFP. This polypeptide can precisely interfere with PRMT5-RNA interaction without affecting PRMT5 protein abundance, thereby specifically disrupting a key pathway for maintaining tumor protein translation. This polypeptide therapeutic agent has been shown to effectively inhibit tumor growth in preclinical models, validating the therapeutic feasibility of the "PRMT5-RBD targeting" strategy and providing a novel potential treatment option for patients (including those insensitive to or resistant to existing methylation inhibitors).

The utility model relates to the technical field of sitz bath, concretely is a kind of field portable foldable visible perianal sitz bath, including sitz bath main part, the sitz bath main part is inverted conical setting, the inside of sitz bath main part is close to the fixed connection of mirror with bottom position, the inside of sitz bath main part is close to the fixed connection of grid plate with mirror position, the beneficial effect of the utility model is through the mutual cooperation between sitz bath main part, mirror, grid plate, telescopic base, positioning sleeve, slide bar and direction mirror, the device can be shown to operating personnel by the two refractive modes of mirror and direction mirror with perianal affected area, and the size of affected area can also be estimated by grid plate, and the support height of sitz bath main part can be adjusted by the multiple structures of telescopic base, so that the height of sitz bath main part is more suitable for operating personnel, to ensure that perianal affected area size can be observed by oneself under field environment, and suitable treatment scheme is selected.

The invention discloses application of combination of carboxamidotriazole and revatinib in preparation of liver cancer drugs, a pharmaceutical composition and a preparation of the carboxamidotriazole and the revatinib, the drug combination of carboxamidotriazole and revatinib is used for the first time, the carboxamidotriazole and the revatinib show a remarkable synergistic effect, and in clinical medication, for patients with low sensitivity of using revatinib, the drug combination of carboxamidotriazole and revatinib has a remarkable curative effect on liver cancer. Through combination with carboxamidotriazole, the sensitivity of a patient to the medicine can be improved, and a synergistic effect is achieved. Meanwhile, as a non-cytotoxic drug, the carboxamide triazole can regulate the tumor inflammatory microenvironment, so that the tumor growth environment is changed, and the possibility of later development and metastasis of tumors is reduced. Meanwhile, the combination of carboxamidotriazole and lenvatinib has high safety, and provides more medication options for first-line patients.

The invention relates to a system comprising an anterior cervical plate with receiving openings for bone screws and a locking mechanism for inserted bone screws that are screwed to a vertebral body and press the cervical plate against the vertebral body, wherein the locking mechanism has a plate-type locking body (16) which is movably held on the cervical plate and which can be moved from a position that leaves a receiving opening as freely accessible as possible into a locking position in which the screw head lying in the receiving opening is covered by the locking body and thus the migration of the screw out of the cervical plate is prevented. In order to design the system in such a way that it is easy to operate while maintaining a high degree of security against a loosening of the bone screws and it offers maximum flexibility in the design of the cervical plate for a wide range of treatment options, the locking body is formed uniformly for cervical plates for hybrid and dynamic treatment options, by a thin disc (16) which is fixed to the anterior cervical plate so as to be rotatable about an axis of rotation substantially perpendicular to the cervical plate (10), and which has, angularly distributed over the circumference, at least one locking arm (18) and a support portion (20), which is a component of a catch mechanism.

A computer implemented method includes retrieving data from a patient's updated electronic medical record relevant to a diagnosis of a disease. The data includes medical images and at least one of the patient's demographic data, morbid symptoms, vital signs, medications, surgery history, family medical history, genetic data, laboratory test data, diseases records, allergies, and medical insurance information. The method includes generating available treatment path options including at least one surgical treatment or intervention, using at least one model to predict at least one implication for each of the available treatment path options based on the data and simulated adverse outcomes of the at least one surgical treatment or intervention simulated by predictive models including a biomechanical model based on the medical images. The method includes interactively updating and displaying a decision tree including the available treatment path options each with a corresponding at least one objective function.