165 results about "Bone density" patented technology

The invention relates to a metabolic marker for diagnosing diabetic secondary osteoporosis and application of the metabolic marker, and belongs to the technical field of biological medicine. The method comprises the following steps: firstly, screening out obviously different metabolites between osteoporosis (DOP) and osteoporosis-free groups (DM) in diabetic patients; and secondly, screening out significant difference metabolites between the primary osteoporosis patient and the healthy control group, and excluding the intersection of the two groups of difference metabolites to obtain metabolites which exclude the influence of the primary osteoporosis. Metabolic markers, namely cytosine nucleotide, ketoglutaric acid and triethylamine, are obtained through further screening, and when the three metabolic markers are independently used, AUCgt; the AUC during combined use is 0.99, so that the limitation that the sensitivity of the traditional bone mineral density detection on the osteoporosis recognition in the diabetic population is insufficient is effectively made up.

The invention relates to the technical field of oral implantation guidance, and provides a digital false tooth mounting and positioning device based on three-dimensional scanning and a method thereof. The method comprises the following steps: scanning the oral cavity of a patient through an oral cavity scanner to generate a three-dimensional oral cavity digital model; generating a virtual implant of the patient and corresponding initial implantation parameters based on the three-dimensional oral cavity digital model through a SegFormer segmentation network; based on historical operation data, initial implantation parameters, bone density, patient attributes and occlusal force parameters, a long sequence prediction network is adopted to predict the position offset and bone resorption degree of the virtual implant after osseointegration through a segmented attention mechanism and a network memory cache mechanism, and optimal implantation parameters are obtained; and pushing a visual dynamic model containing the candidate positioning strategy to the user based on the optimal implantation parameter, driving an oral cavity model printer to obtain an implantation guide plate model and an oral cavity environment model, assisting the user in verifying the installation effect of the candidate positioning strategy, and improving the accuracy of false tooth installation and positioning.

The application discloses a bone health tablet candy rich in marine peptide calcium chelate and a preparation method thereof, and belongs to the technical field of polypeptides, wherein the calcium chelate peptide provided by the application has an amino acid sequence as shown in SEQ ID No.1, and the specific sequence is GETGPA (F21-1), and the calcium binding capacity of the calcium chelate peptide is 4.72±1.06 μg / mg. The bone health tablet candy provided by the application has good calcium absorption promoting activity. The results of a mouse experiment show that the bone health tablet candy does not cause adverse effects on the growth of mice, can reverse high bone conversion caused by osteoporosis, improves the bone biomechanical properties of osteoporotic mice, and thus achieves the effect of enhancing bone density.

The invention relates to the field of disease animal model construction, and particularly discloses a postmenopausal osteoporosis and knee osteoarthritis co-disease animal model construction method which comprises the following steps: selecting a female animal as an experimental subject; the selected female animals are injected with a GnRH agonist, meanwhile, low-calcium feed feeding and oxidative stress stimulation are conducted, and feeding is conducted for a preset time; detecting bone mineral density and bone trabecula parameters of the fed female animals, and screening qualified female animals meeting set standards; performing meniscus tearing operation on the qualified female animal, and implanting sustained release microspheres loaded with inflammatory factors at the torn part during the operation; carrying out weight-bearing training on the female animal after the operation, and continuing for a set time length; and performing health detection on the female animals at different time points. According to the method, through multi-factor collaborative induction of the PMOP, minimally invasive construction of the KOA and multi-dimensional health detection, accurate simulation of a co-disease pathological process and clinical characteristics is realized, and the authenticity and stability of the model are improved.

The invention relates to the technical field of medical information, in particular to an osteoporosis risk intelligent early warning method and system based on a big database. The method comprises the following steps: extracting user bone health data in a multi-source health database; evaluating a bone mass state based on the user bone health data; screening osteoporosis risk users in the user bone health data according to the bone mass state; inquiring a medical image of the osteoporosis risk user; extracting a bone mineral density value by using the medical image, and determining a bone mineral density change trend according to the bone mineral density value; detecting the degeneration degree of the bone microstructure by using a medical image; constructing an osteoporosis risk early warning model according to the bone mineral density change trend and the bone microstructure degeneration degree; and inputting the user bone health data into the osteoporosis risk early warning model to generate a risk early warning score. According to the invention, accurate identification and dynamic monitoring of the osteoporosis risk user are realized based on the medical information technology, and the accuracy and response rate of osteoporosis risk early warning are improved.

The invention discloses a prediction method and a prediction system for fracture risk of an osteoporosis patient. The method comprises the following steps: firstly, collecting a plurality of parameters such as age, bone mineral density, vitamin D level and the like of the patient; constructing a bone time-varying factor and dynamic prediction model, and determining the influence weight of each parameter on the bone condition at different time nodes; then, a three-dimensional mechanical model is constructed through mechanical simulation of the skeleton microstructure, stress distribution, strain states and structural stability of the skeleton under different loads are simulated, and the model is corrected by fusing parameters to influence weights; then the fracture probability in a future preset time period is calculated; and finally, a result is presented through a nomogram visualization model. The system realizes the above method, can predict the fracture risk more accurately, and provides powerful support for clinical diagnosis and treatment.

The invention discloses a chest wall defect three-dimensional reconstruction and personalized repair material design system, and relates to the technical field of intelligent medical aided design. Comprising a data acquisition module used for acquiring and preprocessing multi-modal data of the chest wall of a patient; the partition module is used for dividing the defect area into different functional partitions by coupling and analyzing stress and blood flow data and setting a threshold value; the dynamic optimization module is used for mapping the breathing time sequence to a three-dimensional space and dynamically correcting the partition boundary according to the stress change in the breathing cycle; the interface matching module is used for carrying out parameterization design on a host bone interface according to the bone mineral density data; and the optimization design module is used for carrying out topological structure and pore distribution dual optimization on the repair material based on the dynamic partition and the interface parameters, and finally, the output module generates design data capable of directly driving manufacturing. Precise matching of the repairing material and the physiological anatomical structure and the dynamic physiological function of the patient is achieved.

The invention relates to a spinal degenerative disease grading early warning and rehabilitation management system and method, and belongs to the technical field of medical equipment. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a data processing module, an evaluation module and a rehabilitation management module. The first-stage detection module is used for acquiring foot pressure distribution data of a patient; the secondary detection module collects electromyographic signal data of muscles around the spine of the patient; the third-stage detection module is used for collecting vertebral bone mineral density data of the patient. The data processing module is used for preprocessing and analyzing the collected data; the evaluation module is used for carrying out grading evaluation on the spinal degenerative lesion; and the rehabilitation management module formulates a personalized rehabilitation scheme according to the evaluation result. The system adopts a logic mechanism of hierarchical detection and hierarchical intervention, automatically adjusts intervention measures according to different evaluation indexes, and realizes accurate rehabilitation management. The risk of spinal degenerative diseases is found in an early stage, a targeted rehabilitation scheme is provided, and spinal diseases are effectively prevented and managed.

A method of treating a patient in need of an orthopedic implant is described. The method includes obtaining the T-score or bone density of the patient's native bone at a site of implantation, said T-score or bone density being determined by a DEXA scan or other means of determining a T-score or bone density. The method further includes selecting an orthopedic implant that has about the same density as the native bone at the site of implantation, and implanting the orthopedic implant at the site of implantation.

The application discloses a multi-source bone density data fusion method, system and storage medium, and belongs to the field of medical big data and intelligent diagnosis. The method aims at the systematic deviation between DXA devices of different manufacturers and the high detection uncertainty problem under the primary medical environment. Firstly, the multi-source bone density data and the corresponding physical calibration parameters are projected to a unified measurement space through standardized preprocessing and device-related mapping functions, and the device barriers are eliminated by using distribution alignment constraints. Then, Gaussian uncertainty modeling is performed on the projected data to quantify the influence of specific clinical factors on measurement reliability. Based on the uncertainty propagation mechanism, the multi-source discrete evidence is adaptively compensated and fused by weight, and multi-dimensional features including physiology, medical history and anatomical topology are introduced for joint modeling. Finally, end-to-end optimization is performed through a joint function of fusion uncertainty constraint and task loss, and high-robustness osteoporosis risk intelligent evaluation is realized. The application significantly improves the consistency of cross-device T value prediction and the accuracy of missed diagnosis / misdiagnosis review, and is suitable for multi-center bone density mutual recognition and primary medical bone health intelligent evaluation scene.

CT images from the neck, lung, cardiac, abdominal, pelvis, hip, spine or lower extremity areas are obtained and analyzed by a computer to measure trabecular bone density on each level it is available, in the spine and hip. Any bone tissue associated with vertebrae that is fractured is excluded, along with Schmorl's nodes, large blood vessels, and cortical bone, to accurately average the trabecular bone density on a scan. The density of fat, heart, and muscle tissue of a subject is used to calibrate the results. That data may be input to an absolute fracture risk model (Fracture Risk Algorithm calculator). Information such as bone density, T score, Z score, fracture risk, and identification of vertebral fractures (if present) may be determined and reported.

The invention discloses an application of a humanized DKK-1 monoclonal antibody in preparation of a medicine for treating osteoporosis. A light chain and a heavy chain of the humanized DKK-1 monoclonal antibody are shown as SEQ ID NO.1-2. The invention further discloses a preparation method of the humanized DKK-1 monoclonal antibody. Animal experiments prove that the humanized DKK-1 monoclonal antibody can remarkably improve the bone mineral density of lumbar vertebrae and tibia of an osteoporosis model mouse and can promote bone growth, and a new treatment scheme is provided for treating osteoporosis.

The present invention provides muscle-derived progenitor cells that show long-term survival following transplantation into body tissues and which can augment non-soft tissue following introduction (e.g. via injection, transplantation, or implantation) into a site of non-soft tissue (e.g. bone) when combined with a biocompatible matrix, preferably SIS. The invention further provides methods of using compositions comprising muscle-derived progenitor cells with a biocompatible matrix for the augmentation and bulking of mammalian, including human, bone tissues in the treatment of various functional conditions, including osteoporosis, Paget's Disease, osteogenesis imperfecta, bone fracture, osteomalacia, decrease in bone trabecular strength, decrease in bone cortical strength and decrease in bone density with old age.

A radiation imaging apparatus includes an image obtaining unit configured to obtain image data corresponding to incident radiation, and an image processing unit configured to perform a first bone density measurement based on image data obtained by the image obtaining unit with a first exposure field, and perform a second bone density measurement based on image data obtained by the image obtaining unit with a second exposure field narrower than the first exposure field.

The utility model relates to medical equipment technical field, concretely is a kind of positioning drill for dental implant surgery. Including driving rod, the one end of driving rod is connected with annular drill bit, the end of annular drill bit is equipped with tooth edge, the inside of annular drill bit is provided with the positioning member extending outward, the middle part of driving rod is provided with fixed ring, driving rod and located the side activity sleeve of annular drill bit is equipped with sleeve, driving rod and located between sleeve and fixed ring is equipped with spring, the side of sleeve and annular drill bit is open structure. Through different specifications sleeve, the safety distance required around implant can be guaranteed;Annular drill bit marks edge, the remaining bone mass around implant after implantation and the distance with adjacent tooth can be intuitively displayed;In the process of continuing to prepare hole, if deviation is generated due to bone density uneven, it can be easily observed and adjusted;Reduce the additional cost generated by the production of guide plate and navigation, reduce the burden of patient.

The invention provides a pharmaceutical composition for improving bone mineral density and a preparation method thereof, and belongs to the technical field of biological medicine, the pharmaceutical composition comprises lactarius vomica extract peptide, winged yam rhizome peel extract, rainbow trout extract, calcium citrate-glycine chelate, vitamin K2 and vitamin D3. The lactarius volemus extract peptide is obtained by sequentially carrying out enzymolysis on lactarius volemus by bromelain and subtilisin and purifying and extracting enzymatic hydrolysate through an LH-60 sephadex column. The winged yam rhizome peel extract is obtained by extracting the peels of winged yam rhizome tubers with an ethanol water solution and purifying and extracting the extracting solution with an AB-8 macroporous adsorption resin column. The rainbow trout extract is a product below 5kDa obtained by sequentially performing enzymolysis on fish heads, fish skins and fish scales of rainbow trout through trypsin and lumbrukinase. All the components are compounded according to a specific proportion, and the core effect of improving the bone mineral density is achieved through two-way regulation and control of bone metabolism, optimization of calcium utilization and improvement of safety.

The invention discloses a fracture risk prediction method and system, and relates to the technical field of health management. According to the prediction method, serious sarcopenia is selected to diagnose and assess the sarcopenia state, the ratio of monocytes to lymphocytes reflects the immune inflammation level, the prediction model is constructed in combination with the femoral neck bone mineral density T value, and the fracture risk influence factors are comprehensively covered; and the risk identification capability on special high-risk groups with sarcopenia, immune dysfunction and the like is effectively improved. And secondly, only three target independent variables are selected, and the three target independent variables are indexes which can be directly obtained or simply calculated in clinical routine examination, so that the data collection difficulty is greatly reduced. Meanwhile, the prediction model is visualized through a column diagram, complex calculation is not needed, a clinician can quickly inquire the fracture risk score through the actual value of the target subject, and the method is suitable for being efficiently applied to conventional outpatient service, hospitalization and other scenes.

The portable self-adaptive extracorporeal shock wave orthopedic treatment device comprises a bandage, a treatment head and a fixing band, the bandage is composed of a bandage body and a base, and the section of the bandage body is in a U shape; the edge of the base is connected with the edge of the bandage body, and the base and the bandage body define a closed cavity. A plurality of mounting holes are formed in the substrate at intervals; the treatment head is mounted at the mounting hole in the base, and the action end of the treatment head extends towards one side far away from the cavity; the treatment heads at different positions can generate extracorporeal shock waves with different intensities and frequencies according to the bone mineral density loss condition to act on a human body part; the fixing bands are installed at the two ends of the bandage, and during use, the bandage surrounds the part, needing to be treated, of the body and is fixed through the fixing bands. The device self-adaptively recognizes the condition of a to-be-treated part of a patient, and accurately sends out shock waves to prevent and treat bone loss; the device is portable and small, can be used under microgravity, can be operated by a patient, and improves the treatment convenience.

The invention provides application of a composition containing butyric acid producing bacteria and vitamin K2 in preparation of a medicine for treating osteoporosis, and relates to the technical field of biological medicines, the composition comprises butyric acid producing bacteria and vitamin K2; wherein the butyric acid producing bacteria are selected from any one or more of clostridium butyricum, rosella and clostridium praeparatum; and the vitamin K2 is selected from any one or more of menadione-4 or menadione-7. The composition can play a synergistic effect through an intestine-bone axis, and compared with a single component, the composition can more remarkably improve the bone mineral density. The composition has comprehensive effects and high safety, provides a brand-new nutrition intervention strategy with a synergistic effect for prevention and treatment of osteoporosis, and provides a brand-new possibility for preparation of medicines related to osteoporosis.

The invention belongs to the technical field of traditional Chinese medicine preparations, and particularly relates to a traditional Chinese medicine preparation for strengthening bones and tendons and improving osteoporosis and a preparation method thereof. The traditional Chinese medicine preparation is prepared from the following raw material medicines in parts by weight: 25 to 30 parts of bovine bone, 15 to 20 parts of penis cervi, 10 to 15 parts of fructus mali, 8 to 12 parts of fructus corni, 8 to 10 parts of radix angelicae sinensis, 8 to 12 parts of semen sojae germinatum, 8 to 10 parts of rhizoma dioscoreae, 5 to 10 parts of rhizoma polygonati and 5 to 10 parts of liquorice root. In the formula, bovine bone and penis et testis cervi are taken as monarch drugs, malaytea scallop fruit, dogwood and angelica sinensis are taken as ministerial drugs, semen sojae germinatum, Chinese yam and rhizoma polygonati are taken as adjuvant drugs, and liquorice is taken as a conductant drug. All the components of the traditional Chinese medicine preparation have a synergistic effect, and the purpose of treating osteoporosis is achieved by adjusting the levels of ALP, OC and TRACP-5b, improving bone metabolism, increasing bone mineral density and inhibiting bone resorption.

This invention discloses an osteoporosis biomarker circRNA and its applications, belonging to the field of biotechnology. This invention demonstrates that circBBS9 and its human homologs are expressed at elevated levels in osteoporosis. Simultaneously, a siRNA capable of knocking down circBBS9 expression was designed. This invention demonstrates that miR-423-3p is a downstream target of circBBS9. circBBS9 expression rapidly increases during osteoclast multinucleation, and inhibiting circBBS9 does not affect the differentiation of osteoclast mononuclear precursors, but weakens osteoclast multinucleation levels and bone resorption capacity, increasing bone mineral density in osteoporotic mice. This proves that the siRNA prepared in this invention can be used as a drug for the prevention and treatment of osteoporosis.

The application provides king salmon bone collagen peptide for promoting longitudinal growth of bone, a preparation method and application, and relates to the technical field of collagen peptides. The preparation method comprises the following steps: (1) treating king salmon bone raw materials by steam explosion to obtain pretreated king salmon bone; then mixing the pretreated king salmon bone with pepsin and performing first enzymolysis under pressure to obtain a first enzymolysis mixture; mixing the first enzymolysis mixture with collagenase and ficin, performing second enzymolysis under pressure, collecting an enzymolysis liquid, and performing ultrafiltration on the enzymolysis liquid to obtain collagen peptide. In the application, pepsin is used for first enzymolysis under pressure, then collagenase and ficin are used for compounding, the synergistic effect of the three kinds of proteases makes the collagen be fully enzymolyzed, the diversity of the cleavage site is improved, the molecular weight of the polypeptide is reduced, the activity of the polypeptide is improved, the longitudinal growth of the bone is promoted, and the bone density is improved.

The invention belongs to the technical field of image processing, and discloses an artificial intelligence bone mineral density prediction system and method based on lumbar vertebra X-ray image.The system comprises hardware and software, and the hardware comprises an image input interface, an acceleration calculation unit and a storage and interaction assembly; the software comprises a preprocessing module, an artificial intelligence model module and a result output module, and the artificial intelligence model module integrates a database, a feature extraction module and a feature fusion module. The method comprises the following four steps: S1, data collection; s2, data annotation; s3, constructing a model; and S4, performing actual prediction, processing the image through a preprocessing module, processing the image through an artificial intelligence model, accelerating the image through an acceleration calculation unit, and finally outputting a prediction result through a result output module. According to the method, through fusion of an artificial intelligence technology and medical images, efficient and accurate prediction of the bone mineral density is achieved, dependence on expensive equipment is reduced, the accessibility of detection is improved, and the method is suitable for primary medical treatment and large-scale crowd screening.

This invention discloses the application of agar-agar polysaccharides in the preparation of products with bone density-improving effects. The agar-agar polysaccharides are obtained from agar-agar as raw material through acid extraction, alcohol precipitation, dialysis, and ion exchange chromatography purification, with a weight-average molecular weight range of 1500-5000 Da. This invention applies agar-agar polysaccharides to the preparation of products with bone density-improving effects, including food, health products, or pharmaceuticals; particularly, it can be used to prepare functional cereal foods. The agar-agar polysaccharides of this invention have an ameliorative effect on bone density loss in a dexamethasone-induced zebrafish osteoporosis model, can enhance the activity of alkaline phosphatase (ALP) in zebrafish, and promote osteoblast differentiation.

The method of the embodiment of the present application proposes a method and a public platform for dynamically predicting the risk of osteopenia of psoriasis patients. First, high-quality data are screened from the historical medical records, bone density data and biomarker data of the patients, and multi-modal feature extraction is performed. The high-order interaction of the features of each mode is captured through a graph attention network to realize multi-modal feature fusion. Then, a deep attention neural network is constructed to realize the probabilistic prediction of the risk of osteopenia of psoriasis patients. Next, the individual prediction results are visualized and explained by using the model attention weight and SHAP value, thereby enhancing the clinical usability. Subsequently, the network is compressed and optimized through model distillation, pruning and quantization, thereby realizing the efficient deployment of the model on the edge computing device. Finally, the model parameters are continuously optimized in combination with the actual clinical results and the feedback of doctors. The present application effectively improves the accuracy of risk prediction.

This invention discloses a composition with bone-health-promoting functions and its applications, belonging to the field of microbial engineering. The composition comprises milk calcium, colostrum basic protein, and Bifidobacterium breve i1088 powder. The composition provided by this invention, which has a synergistic effect between milk calcium, colostrum basic protein, and Bifidobacterium breve i1088 powder, enhances the conversion rate of calcium from the blood to bone through the action of probiotics, thereby improving the actual utilization rate of calcium and effectively promoting bone health. Experimental data show that this composition significantly increases bone mineral density, bone volume fraction, and trabecular thickness in a female rat osteoporosis model, and significantly reduces trabecular spacing in the same model. The composition provided by this invention is suitable for promoting bone health and preventing and / or improving osteoporosis.

The invention discloses application of black bean source oligopeptide in preparation of a product for preventing / treating osteoporosis, and belongs to the technical field of bioactive peptides. According to the black bean source oligopeptide helpful for improving osteoporosis, the black bean source oligopeptide comprises oligopeptide KGVG and / or oligopeptide KIGT; wherein the amino acid sequence of the oligopeptide KGVG is Lys-Gly-Val-Gly, and the amino acid sequence of the oligopeptide KIGT is Lys-Ile-Gly-Thr; the black bean source oligopeptide can directly up-regulate osteoblast activity, enhance expression of BMP-2 and Runx2, improve the level of bone formation marker osteocalcin, remarkably improve the bone density and bone microstructure of ovariectomized mice and enhance bone mechanical strength, is non-toxic to other tissues, can be used as an effective nutrition strategy for treating and relieving osteoporosis, and has broad application prospects. A scientific basis is provided for efficient utilization of the black bean source bioactive peptide.

Provided herein are methods and compositions comprising pulsatile follicle stimulating hormone (FSH). The pulsatile FSH may be used in methods of treating infertility, restoring normal hormonal levels, stimulating secretion of a sex steroid, treating or preventing fatty tissue accumulation, treating or preventing loss of bone density, preventing ovarian inflammation, and / or promoting metabolic health.

The utility model discloses a household osteoporosis-sarcopenia combined monitoring and rehabilitation assisting device in the technical field of rehabilitation treatment, which comprises a leg sleeve, a portable ultrasonic bone mineral density instrument and a bioelectrical impedance analyzer, a plurality of grooves are arranged on the periphery of the leg sleeve, a plurality of electromagnets are fixedly connected in the leg sleeve along the periphery, and the electromagnets are connected with the bioelectrical impedance analyzer. A controller is fixedly connected in the leg sleeve, the controller is electrically connected with a data plug, and the portable ultrasonic bone mineral density instrument and the bioelectrical impedance analyzer are both in signal connection with a data socket. Through the arrangement of the leg sleeve, the electromagnet, the data plug and the data plugboard, the weight of the required balancing weight is determined according to data monitored by the portable ultrasonic bone mineral density instrument and the bioelectrical impedance analyzer, and then the balancing weight is attracted through the electromagnet, so that the weight of the balancing weight is adjusted. Through data, patients with osteoporosis and patients with sarcopenia can conveniently carry out aerobic training such as load-bearing jogging according to physical conditions, and therefore the recovery training effect is better achieved.