13 results about "Biological modeling" patented technology

The invention relates to the field of biological modeling, and discloses a shoulder joint stress simulation method and system based on a three-dimensional finite element. The method comprises the following steps: acquiring three-dimensional geometric data of a shoulder joint through scanning equipment, and generating an initial grid model; dividing the preliminary calculation grid to determine an initial stress value, simulating stress transfer distribution, and generating a preliminary stress distribution field; calculating the stress gradient change rate of each grid unit and performing local subdivision to generate a stress gradient change rate distribution diagram; performing density subdivision on the grid units exceeding the change threshold to generate a refined grid model; the calculation grid is divided again, the stress value of each grid unit is calculated, and an updated stress field is generated; calculating a difference vector, judging whether the difference vector meets a convergence condition or not, and obtaining a convergence judgment result; and if not, iteratively subdividing the local grid to generate a final stress distribution field. Through adaptive grid subdivision and iterative convergence optimization, the problem of insufficient simulation precision is solved, and the accuracy is improved.

Methods of localizing a scope tip of an endoscope in an organ of a patient are provided. The method comprises: (a) obtaining (i) a biological model of an organ of a patient and (ii) electromagnetic (EM) data that is generated by an endoscope in the organ; (b) generating a plurality of localization hypotheses for the scope tip based on the biological model and the EM data; (c) generating a plurality of deformations, wherein each deformation of the plurality of deformations respectively maps each of the plurality of localization hypotheses for the scope tip to the EM data; (d) determining a localization for the scope tip from the plurality of localization hypotheses for the scope tip, wherein the localization corresponds to a predicted deformation of the plurality of deformations that satisfies a threshold; and (e) causing the localization for the scope tip to be presented on a graphical display.

The invention provides a marine environment multi-dimensional time sequence prediction method and system based on a deep learning neural network. According to the invention, the deep learning neural network is utilized to predict the multi-dimensional time sequence change of the marine environment. And constructing a ship trajectory and collecting water body biological displacement information. And the neural network fuses the ship trajectory and the marine ecological parameters to generate interaction evolution characteristics. And mapping the sound pulse reflection intensity and the phase difference of the biological displacement into a three-dimensional motion vector, and constructing a biological activity intensity model after processing. And quantifying ship density gradient and course conflict as a space pressure coefficient, and combining with multi-ship disturbance superposition to form an ecological pressure diagram. Iteratively calculating the pressure time-varying law and the divergent characteristics of the biological model, and outputting an ocean disturbance matrix; and through adaptive weight fusion pressure propagation and biological response, generating spatial-temporal distribution prediction of marine ecological disturbance. According to the method, interaction between ship activities and marine organisms is quantified, and spatial-temporal distribution of marine ecological disturbance is predicted by fusing multi-dimensional data.

The invention belongs to the technical field of biological model construction, and particularly relates to a method for constructing a vasculitis model in zebra fish. The compound is obtained by inducing a Candida albicans water soluble substance (CAWS), and the specific method is micro-injection or soaking. According to the method, whether modeling succeeds or not can be judged in the living body state of the model animal, the method is more suitable for visually observing the inflammation occurrence position, a research method for vasculitis (including Kawasaki disease) is developed, follow-up scientific research data can be richer and more accurate, and a more solid theoretical basis is laid for clinical transformation of targeted therapy of vasculitis (including Kawasaki disease).

The invention discloses a growth animation generation method, apparatus and device, and a readable storage medium. The method comprises the steps of determining attribute information of point clouds based on a spatial relationship of the point clouds in a point cloud space; the attribute information comprises an offset vector for indicating density distribution and an offset length for indicating point cloud density; determining a target point cloud based on the attribute information; generating a target line segment based on the target point cloud; and on the basis of the sequence indicated by the offset length, sequentially generating branch sub-models indicated by the target line segment in the generation process of the target model to obtain a growth animation of the target model. According to the method provided by the invention, the L-system fractal algorithm can be fitted based on the data processing of the point cloud to simulate the most important branch sequence growth effect in the growth process, so that the complex iterative analysis in the traditional L-system fractal algorithm is avoided, and the animation expression effect of the biological model with the complex branch effect is effectively improved.

The invention discloses a knee joint degeneration prediction analysis method based on deep learning, and relates to the field of deep learning and computer vision. The knee joint degeneration prediction analysis method based on deep learning comprises the following steps: S1, acquiring and preprocessing knee joint image data to construct an original data set; s2, integrating space and channel attention and a multi-scale convolution structure, fusing global and local information, and amplifying a key lesion area; s3, adopting a generative adversarial network, SMOTE and a biological modeling strategy to construct a balanced data set; s4, combining multi-task and transfer learning, and combining hierarchical classification and lesion segmentation training, regularization and dynamic hyper-parameter optimization model; s5, guaranteeing the stability and adaptability of the model based on multi-center and multi-device data evaluation; according to the method, intelligent identification of early-stage degradation characteristics of the knee joint is effectively improved, and the problem of identification deviation caused by insufficient fine-grained degradation characteristic extraction and sample imbalance of an existing method is solved.

Embodiments of the present invention relate to a device for implementing high-speed drug screening based on a three-dimensional biological model, and the device according to one aspect is an analysis device for a three-dimensional biological model, the device comprising: a well plate; a probe provided in the well plate; and a plunger located to be spaced apart from the well plate, wherein: the well plate includes a well configured to accommodate the three-dimensional biological model, the well being a region in which at least a portion of the upper surface of the well plate is recessed along a first direction; at least a portion of the probe is located in the well; and the plunger is movable in the well along the first direction.

The application belongs to the technical field of micromanipulation biological modeling, and is based on a cell stretching tensor calculation method of dissipative particle dynamics, and the specific steps are as follows: step 1), a cell membrane model of dissipative particle dynamics is established; step 2), a simulation boundary condition and a type of ensemble integrator are determined; step 3), a cell membrane and a cytoskeleton model are aggregated; step 4), a microneedle penetration experiment platform is built in a simulation environment and the microneedle penetration experiment is started; and step 5), a strain of the cell in a penetration direction is calculated, the microneedle penetration simulation data are processed, finite strain theory is used for analysis and calculation, and a normal strain is output. The method can calculate the internal strain of the cell model under different parameters, and the effectiveness of the method is verified by comparison with the results in a real experiment.

The present invention relates to a method, a biological control system, a computer program product, and a computer-readable recording medium for a specific area, preferably a specific agricultural area. The object of the invention is to determine the number of biocontrol agents to be introduced into the specific area, the frequency of introduction of the biocontrol agents into the specific area, and the period of introduction of the biocontrol agents into the specific area by means of a model equation, said model equation applying a mathematical relationship to at least one biological modeling parameter and at least one ecological modeling parameter, said implementation including the use of at least one user parameter. Abstract figure: 1

To provide an apparatus for biological modeling including a structure for allowing a biological model to be easily replaced so as to enable training with various biological models, the apparatus further allowing even biological models having different sizes to be easily replaced, thereby enabling training with various biological models to be easily carried out.SOLUTION: An apparatus for biological modeling 1 includes a long tubular member 9 and a biological-model mounting part 3 disposed in an inner cavity 4 of the tubular member 9, the biological-model mounting part 3 being configured to allow a biological model 2 to be attached and detached.SELECTED DRAWING: Figure 2

The present application relates to sewage treatment technical field, especially to a kind of sewage treatment plant diagnosis method and system based on multi-source heterogeneous diagnosis knowledge base, comprising: S100, the historical operation data of sewage treatment plant is obtained, and the intelligent diagnosis system based on multi-source heterogeneous diagnosis knowledge base is established based on the historical operation data;S200, the operation state data of sewage treatment plant to be diagnosed is obtained, and the operation state data of the sewage treatment plant to be diagnosed is input into the intelligent diagnosis system, when there is fault, through the operation diagnosis based on biological modeling, the operation diagnosis based on operation rule, the operation diagnosis based on historical case, the operation diagnosis based on knowledge graph, obtain multiple fault solutions, the multiple fault solutions are analyzed by fuzzy comprehensive evaluation, and final diagnosis result is obtained;The present application can improve the precision and efficiency of diagnosis, and can also realize intelligent diagnosis.

The invention discloses a device suitable for simulating a weightlessness model to carry out magnetic resonance examination, and relates to the technical field of simulation experiment devices. The device suitable for simulating the weightlessness model to perform the magnetic resonance examination comprises a base and a supporting frame rotationally connected with the top of the base, an angle adjusting mechanism is installed on the supporting frame, the angle adjusting mechanism is used for binding a biological model and detecting the moving angle of the biological model, and the angle adjusting mechanism can be rotationally folded at the top of the base; the biological model is bound through the angle adjusting mechanism, the angle deflection of the biological model in a weightless state can be detected, then the posture change of a human body or an animal in the weightless state is simulated, the biological model can be bound to different positions on the swing rod, and then the coordinate position of a sample can be adjusted according to experimental requirements; in addition, the device optimizes a precise calibration gauge for angle detection, changes of the longitudinal swing angle are converted into the rotation angle of the scale wheel disc, and then the precision of angle detection is accurate to 0.1 degree.

Systems, methods, computer-readable media, and techniques for locating a scope tip of an endoscope within a patient's organ include: (a) acquiring (i) a biological model of the patient's organ and (ii) electromagnetic (EM) data generated by the endoscope within the organ; (b) generating a plurality of scope tip location hypotheses based on the biological model and the EM data; (c) generating a plurality of transformations, each transformation of the plurality of transformations respectively mapping each of the plurality of scope tip location hypotheses to the EM data; (d) determining a scope tip location from the plurality of scope tip location hypotheses, the location corresponding to an assumed transformation of the plurality of transformations that satisfies a threshold; and (e) presenting the scope tip location on a graphical display.