21 results about "Functional mapping" patented technology

Embodiments of the present disclosure relate to a method for molecular docking and an electronic device. The method comprises: determining a first binding site on a first molecular surface of a first molecule and a second binding site on a second molecular surface of a second molecule based on a first time-dependent multi-scale feature of the first molecule and a second time-dependent multi-scale feature of the second molecule; obtaining a first chemical feature of the first binding site and a second chemical feature of the second binding site; determining a functional mapping matrix between the first chemical feature and the second chemical feature through functional mapping; determining a correspondence between the first binding site and the second binding site based on the functional mapping matrix; and docking the first molecule and the second molecule through the first binding site and the second binding site based on the correspondence. In this way, the molecular docking scheme does not need to be implemented through a large number of samplings, and therefore the three-dimensional structure generated after docking can be determined more quickly and more efficiently.

A method for selecting a seed region for use in a seed-based cortical functional mapping method includes providing at least one RSN map of at least one subject, each of the at least one RSN maps comprising a plurality of functional voxels within a brain of each of the at least one subjects, each functional voxel of the plurality of functional voxels associated with a probability of membership in an RSN. A subset of the functional voxels characterizing a contiguous region is selected as the seed region, each functional voxel of the seed region having a probability of membership in the RSN above a threshold value.

The present invention discloses a method for diagnosing open-circuit faults of converters based on a task coding adaptive network. First, a fault sample set base consisting of fault samples, fault codes and task codes of multiple types of converters is constructed, and then a task coding adaptive network is constructed. The task coding adaptive network is proposed to characterize the functional mapping relationship between task codes, fault characteristics and fault codes, so as to realize fault location of multiple converter types without repeated model training, thereby reducing the development cycle and training cost of the fault diagnosis model; secondly, in the task coding adaptive network, through the optimization design of the network structure and unified fault / task coding, the open-circuit fault diagnosis of different types of converters is promoted, thereby improving the fault diagnosis accuracy.

A computing device for use in a system to implement Precision Imaging Drug Trials (PIDT) that integrate Precision Functional Mapping (PFM) for mapping brain activity of a subject. The computing device includes a processor programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during various states. Moreover, the processor is programmed to compare data points from measurements and produce maps for the measurements based on the comparison of the data points. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map for detection of which targets in the brain an experimental compound impacts.

The invention relates to an intraoperative cerebral cortex electrode intelligent positioning system based on deep learning, which belongs to the technical field of surgical navigation, and comprises a data acquisition module used for acquiring data of intraoperative ultrasound, intraoperative MRI and preoperative MRI; the preprocessing module is used for carrying out denoising, contrast enhancement, motion artifact correction, bias field correction, skull stripping and standardization processing on the multi-modal data; the dynamic collaborative segmentation network DSCN fuses MRI and CT features based on a mutual information maximization principle to generate a segmentation Mask; the variational adaptive fusion module VAFM is used for learning probability distribution of multi-modal features through variational reasoning and dynamically adjusting a fusion weight; a Riemannian manifold migration classifier RMTC is used; and the electrode positioning and function mapping module is used for outputting an electrode position and a functional area heat map in combination with an optimized objective function and 3D visualization. Through the dynamic collaborative segmentation network, the variational adaptive fusion module and the Riemannian manifold migration classifier, the precision and efficiency of electrode positioning and functional area mapping are remarkably improved.

The invention relates to a system for carrying out intraoperative functional mapping of at least one neuronal function of a patient during an operation on the patient, which system comprises: a stimulation unit for electrically stimulating a brain area of ​​the patient at a stimulation site during the operation; a second stimulation unit for providing at least one optical and / or acoustic stimulation for the patient during the electrical stimulation of the brain area of ​​the patient by the first stimulation unit; a synchronization unit for synchronizing the first stimulation unit and the second stimulation unit; at least one recording unit for recording a response of the patient during the electrical stimulation of the brain area of ​​the patient by the first stimulation unit and the stimulation of the patient by the second stimulation unit;an evaluation unit for evaluating the patient's response recorded by the recording unit as to whether the electrically stimulated brain area of ​​the patient is relevant for the performance of a neural function; and a communication and data transmission network for conducting non-verbal communication between users of the various units of the system during surgery on the patient and for exchanging data between the units of the system.

A method and apparatus for radiation therapy using functional measurements of branching structures. The method includes determining a location of each voxel of a plurality of voxels in a reference frame of a radiation device. The method further includes obtaining measurements that indicate a tissue type at each voxel. The method further includes determining a subset of the voxels based on an anatomical parameter of a respective branching structure of a set of branching structures indicated by the measurements. The method further includes determining a subset of the voxels that enclose an organ-at-risk (OAR) volume. The method further includes determining a value of a utility measure at each voxel. The method further includes determining a series of beam shapes and intensities which minimize a value of an objective function based on a computed dose delivered to each voxel and the utility measure for that voxel summed over all voxels.

Functional networks are mapped for individuals and group populations based on magnetic resonance imaging, and the resulting functional mapping data (e.g., probabilistic maps of functional networks and / or integration zones where multiple functional networks overlap and / or interact) are used to guide or otherwise monitor the delivery of neuromodulation therapies. Individual-specific functional network maps can be generated based on an overlapping template matching that is capable of assigning multiple networks to a given grayordinate.

The present disclosure provides for a method of characterizing a nucleic acid network comprising: providing a biological sample on a substrate, wherein the biological sample comprises the nucleic acid network; applying spatially-aware graph neural networks (spaGNN) to the biological sample to obtain characterization data; and analyzing the characterization data. Also provided herein is a method of providing stem cell therapy to a subject in need thereof comprising: performing the method disclosed herein to a stem cell; and administering the stem cell to the subject. Further disclosed herein is a kit comprising a stem cell targeting reagent and an organelle map, wherein the organelle map comprises data indicating identification and proximity of RNA inside of an organelle and outside of an organelle.

A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

The invention relates to a non-rigid three-dimensional point cloud corresponding method and device and a storage medium, and is applied to the technical field of three-dimensional scanning, and the method comprises the steps: more accurately reflecting the geometrical relationship between vertexes in a point cloud through an optimized Laplacian matrix; characteristic parameters are obtained through the optimized Laplacian matrix and are input into the learning diffusion layer, so that the diffusion process of heat (or signals) described by a thermal equation in time is simulated; simulating local information of points by utilizing a thermonuclear diffusion process, and effectively integrating a global geometric structure into feature representation of the points; mapping the feature matrix to a feature space through the feature basis matrix; finding out the optimal linear mapping between the two feature spaces by adopting a least square method, and carrying out iterative updating to obtain final functional mapping; mapping each vertex in the source point cloud to the most corresponding vertex of the target point cloud through final functional mapping to obtain a mapping matrix; and finally, iteratively updating the mapping matrix through a preset loss function to obtain a final mapping matrix.

A system is described, which provides a realtime, thermal-based intraoperative brain mapping system. In general, the system integrates a thermal camera that provides a map of temperature changes, while simultaneously providing stimuli and recording behavioral responses. The system can implement real-time processing of data to produce functional maps. The present disclosure also provides methods for characterizing the spatial and temporal properties of the thermodynamic response, which can be used to optimize an infrared mapping procedure.

Embodiments of the present disclosure relate to a method for molecular docking and an electronic device. The method comprises: determining a first binding site on a first molecular surface of a first molecule and a second binding site on a second molecular surface of a second molecule based on a first time-dependent evolution multiscale feature of the first molecule and a second time-dependent evolution multiscale feature of the second molecule; obtaining a first chemical feature of the first binding site and a second chemical feature of the second binding site; determining a functional mapping matrix between the first chemical feature and the second chemical feature through functional mapping; determining a correspondence between the first binding site and the second binding site based on the functional mapping matrix; and docking the first molecule and the second molecule through the first binding site and the second binding site based on the correspondence.

A method for selecting a seed region for use in a seed-based cortical functional mapping method includes providing at least one RSN map of at least one subject, each of the at least one RSN maps comprising a plurality of functional voxels within a brain of each of the at least one subjects, each functional voxel of the plurality of functional voxels associated with a probability of membership in an RSN. A subset of the functional voxels characterizing a contiguous region is selected as the seed region, each functional voxel of the seed region having a probability of membership in the RSN above a threshold value.

A method and apparatus for radiation therapy using functional measurements of branching structures. The method includes determining a location of each voxel of a plurality of voxels in a reference frame of a radiation device. The method further includes obtaining measurements that indicate a tissue type at each voxel. The method further includes determining a subset of the voxels based on an anatomical parameter of a respective branching structure of a set of branching structures indicated by the measurements. The method further includes determining a subset of the voxels that enclose an organ-at-risk (OAR) volume. The method further includes determining a value of a utility measure at each voxel. The method further includes determining a series of beam shapes and intensities which minimize a value of an objective function based on a computed dose delivered to each voxel and the utility measure for that voxel summed over all voxels.

The invention discloses a dangerous organ accurate segmentation and function protection image system in a radiotherapy plan. The system utilizes a non-Euclidean graph attention mechanism to carry out organ automatic segmentation on a medical image, introduces a quantum graph convolution algorithm to realize global optimization of a segmentation result, and obtains function distribution information in an organ through a morphological function mapping technology. The system also adopts space-time self-supervised learning to improve the feature expression ability of the model. The system can be embedded into radiotherapy equipment or an image platform, high-precision automatic sketching of endangered organs and protection of key functional areas are realized, and reliable decision support is provided for radiotherapy plans.

Functional networks are mapped for individuals and group populations based on magnetic resonance imaging, and the resulting functional mapping data (e.g., probabilistic maps of functional networks and / or integration zones where multiple functional networks overlap and / or interact) are used to guide or otherwise monitor the delivery of neuromodulation therapies. Individual-specific functional network maps can be generated based on an overlapping template matching that is capable of assigning multiple networks to a given grayordinate.

Embodiments of the present disclosure relate to a method for determining relationship between molecules and an electronic device. The method comprises: determining a first chemical feature of a first molecule based on eigenfunctions of a Laplacian operator on a surface Riemannian manifold of the first molecule; determining a second chemical feature of a second molecule based on eigenfunctions of the Laplacian operator on a surface Riemannian manifold of the second molecule; determining a functional mapping matrix between the first chemical feature and the second chemical feature by a functional mapping; and determining a similarity between the first molecule and the second molecule based on the functional mapping matrix. In this way, embodiments of the present disclosure can determine a functional mapping matrix based on chemical features determined based on eigenfunctions of a Laplacian operator on a Riemannian manifold, so that the similarity between different molecules can be compared in a manifold space. This avoids comparing the three-dimensional geometric structure of molecules by alignment and the like, reduces the amount of calculation, and improves the efficiency of processing.

The invention relates to a system for performing intraoperative functional mapping of at least one neural function of a patient during surgery on the patient, the system comprising: a stimulation unit for electrically stimulating a brain region of the patient at a stimulation site during the surgery; a second stimulation unit for providing at least one optical and / or acoustic stimulus to the patient during the electrical stimulation of the brain region of the patient by the first stimulation unit; a synchronisation unit for synchronising the first stimulation unit and the second stimulation unit; at least one recording unit for recording a reaction of the patient during the electrical stimulation of the brain region of the patient by the first stimulation unit and the stimulation of the patient by the second stimulation unit; an evaluation unit for evaluating the reaction of the patient recorded by the recording unit to determine whether the electrically stimulated brain region of the patient is relevant for performing a neural function; and a communication and data transmission network for enabling non-verbal communication between users of the various units of the system during the surgery on the patient and for exchanging data between the units of the system.

The invention discloses a visual cortical prosthesis implantation navigation system and method based on multi-modal functional mapping, and the system comprises a multi-modal data fusion module which is used for receiving and fusing multi-modal image data of a patient to construct a functional voxel set; the implantation planning module is used for dynamically selecting an optimization strategy according to the configuration type of the electrode and generating a planning scheme including an optimal implantation pose and channel forbidding configuration based on an electronic fence mechanism; the virtual electrode simulation module is used for calculating a virtual receptive field between physical electrodes based on a planning scheme, and simulating and visualizing a visual perception effect generated by electrode array stimulation under the optimal implantation pose; and the intraoperative closed-loop navigation module is used for guiding and controlling an execution mechanism to complete the implantation operation of the electrode according to the target implantation pose provided by the planning scheme in the operation. The maximized visual function coverage is realized on the premise of ensuring the blood vessel safety, and the uniformity of the implantation precision and the postoperative visual reconstruction effect is improved.

The invention provides a non-rigid three-dimensional shape corresponding method, training method, device and electronic equipment, and the method comprises the steps: firstly processing shape data to obtain a generalized feature matrix and shape feature sub-matrixes, carrying out the calculation to obtain a point-by-point corresponding matrix based on the similarity of the shape feature sub-matrixes, and then obtaining a non-rigid three-dimensional shape through the point-by-point corresponding matrix and the generalized feature matrix. According to the method, a corresponding functional mapping matrix is obtained through calculation, so that the functional mapping matrix is calculated only by using a spatial domain single branch without depending on spectral branch calculation, and time redundancy and algorithm instability caused by the calculation are avoided; any post-processing functional mapping matrix method is not used, so that the training overhead is greatly reduced, the network structure is simplified, the calculation timeliness is high, and the generalization ability is strong; the unsupervised deep learning only utilizes shape pair feature similarity to obtain a corresponding result with high accuracy, and compared with a refined iterative optimization algorithm, the calculation is more efficient.