1007 results about "Biological body" patented technology

The AI-enhanced cellular modeling and simulation platform is a computational system designed to enhance biomedical research and development and personalized medicine and wellness. This platform integrates simulation modeling, machine learning and artificial intelligence, multi-omics data, and sophisticated data fusion and decision-support techniques to create comprehensive models of cellular systems and processes across multiple scales. It enables researchers and clinicians to simulate complex biological interactions, predict disease progression, and design or optimize treatment strategies or medical devices with improved accuracy and efficacy. The system's architecture allows for integration of various components, including real-time data processing, federated learning, and quantum computing enhancements. From personalized drug discovery and cancer therapies to synthetic biology and epidemiological analysis, this platform offers powerful tools for understanding and manipulating cellular systems and bioengineered systems. By bridging the gap between molecular-level interactions between cells and materials and organism-wide effects, it enables significant advancements in healthcare and biological sciences.

The invention discloses a multi-scene internet of things off-site dynamic inspection self-adaptive monitoring system, and relates to the technical field of intelligent inspection and path planning, the system is composed of a plurality of functional modules, and the system comprises a moving object detection module for detecting a moving object by adopting a Gaussian mixture background modeling and optical flow method; meanwhile, a light-weight MobileViT-XXS model is deployed, and a moving object target is tracked; the moving object classification and identification module is used for judging the type of a moving object through a multi-modal classification decision tree: when the moving object is judged to be a non-living body, carrying out ROI extraction and optimal frame interception on the image saliency of the moving object, and generating EXIF metadata through super-resolution reconstruction; when the judgment result is a biological object, biological category judgment is carried out: when the judgment result is an animal, geo-fencing data matching is carried out, and a spatial-temporal feature fusion model is adopted; and when human beings are judged, face quality evaluation is carried out through multi-frame fusion super-resolution.

The present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs, or organisms. Pre-designed barcodes are associated with specific molecular targets through sequential hybridization experiments. A pseudo-color based barcoding scheme is described that overcomes the limitations in the previous generation of the technology. The current method can be applied to both in vitro and in situ analysis.

The invention relates to a three-dimensional reconstruction method, system and device of a supporting structure and a storage medium. The method comprises the following steps: acquiring two-dimensional medical images of a support structure implanted in a lumen of a living body at different visual angles; performing image segmentation on a target support in the two-dimensional medical image under each view angle to generate a two-dimensional target image corresponding to each view angle; performing parametric deformation on the original three-dimensional grid of the target support through a deformation model based on a graph neural network to generate a deformed three-dimensional grid; projecting the deformed three-dimensional grid according to a virtual camera pose parameter corresponding to the two-dimensional medical image under each view angle, and rendering to generate a two-dimensional rendered image corresponding to each view angle; and iteratively optimizing the three-dimensional grid according to an error between the two-dimensional rendering image corresponding to each view angle and the two-dimensional target image, and stopping iteration when a preset termination condition is met so as to output an optimal three-dimensional grid. According to the invention, the precision of three-dimensional reconstruction of the support structure can be improved.

According to the invention, the multi-mode time-frequency domain conversion and the deep learning technology are combined, and a multi-component mixed Raman spectrum unmixing method is developed, so that clinical in-vivo and in-situ detection and disease diagnosis of novel Raman probes, instruments and the like are facilitated. The method comprises the following steps: (1) converting a mixed Raman spectrum from a time domain to a frequency domain by using fast Fourier transform (FFT), discrete cosine transform (DCT) and discrete sine transform (DST), and extracting frequency domain features; (2) extracting multi-scale local time-frequency domain characteristics of the mixed spectrum by using short-time Fourier transform (STFT) and discrete wavelet transform (DWT); (3) carrying out spectral unmixing calculation in each mode in combination with a one-dimensional attention mechanism U-shaped neural network model; and (4) fusing various modal unmixing results by using a meta-learning method, and analyzing the weight of each modal to obtain an accurate unmixing spectrum. Compared with a traditional Raman spectrum analysis method, the Raman spectrum multi-component signal unmixing method based on multi-modal time-frequency domain transformation and deep learning can accurately separate independent Raman signals of different tissue structures and biochemical components in a complex environment in a living body, so that the unmixing accuracy of the Raman spectrum multi-component signal is improved. Therefore, convenience is provided for subsequent disease mechanism analysis and diagnosis. The method provides an innovative and potential solution for in-vivo and in-situ detection analysis and disease diagnosis of medical clinical Raman spectroscopy.

The invention relates to the technical field of biological wave resonance, provides a migration analysis method and system based on biological wave resonance, and aims to solve the problems of low accuracy and poor anti-interference capability of biological wave resonance anomaly detection in the prior art. The method comprises the steps that electrocardiosignals and brain wave signals of a living body and micro-deformation data of the surface of the living body are collected, and the signal data are jointly aligned in a time-frequency domain; dynamically suppressing interference frequency bands of the electrocardiosignal and the brain wave signal which are jointly aligned respectively; fusing the suppressed electrocardiosignal, the brain wave signal and the micro-deformation data after joint alignment to generate a fusion result; determining an offset feature of the fusion result relative to a preset reference state by using convolution operation; and generating a biological wave resonance migration analysis report about whether the biological wave resonance is abnormal or not according to the continuous length and the spatial distribution range of the migration characteristics in the time domain dimension. According to the invention, the accuracy and anti-interference capability of biological wave resonance anomaly detection are improved.

The invention discloses a near-infrared fluorescent probe DCM-MBS for detecting ONOO <-> as well as a preparation method and application of the near-infrared fluorescent probe DCM-MBS, and belongs to the technical field of peroxynitroso ion detection. The probe DCM-MBS is a water-soluble probe, the detection method is simple, ONOO <-> response is rapid, selectivity is good, specificity is high, detection sensitivity is high, interference of other biological molecules, active substances and the background of the probe can be effectively avoided, repeatability, accuracy and reliability of a detection result are ensured, and the detection method is suitable for large-scale popularization and application. Further, the requirement of real-time monitoring of the rapidly-changed ONOO <-> level in a living body is met; the color change is obvious and easy to observe, and qualitative in-situ real-time detection of ONOO <-> can be realized by naked eyes; the fluorescent probe has very excellent biocompatibility, can realize excellent fluorescence imaging in various cells and living mouse bodies, and does not have obvious toxic or side effects; the synthesis method is simple and efficient, raw materials are low in cost and easy to obtain, large-scale industrial production is facilitated, and wide market application prospects are achieved.

The application provides application of SEBS in implanting a biological electrode base. The biological electrode based on the SEBS base can be implanted in biological tissues, and is used for continuously or discontinuously analyzing physiological parameters of the biological body. Compared with other flexible bases, the SEBS base has the characteristics of being thinner and more flexible, can reduce the interference of body movement on the electrical signal, reduce the volume range of the implanted tissue and reduce the inflammatory reaction, thereby improving the measurement accuracy and long-term stability, is expected to meet more implantation site requirements when used for implanting a sensor, and has a good application prospect.

The present disclosure provides a platform assembly for providing a comfortable resting area for one or more pets, or non-living objects, while allowing accommodation of the pets in close proximity of a friendly human being in domestic as well as work environments. The platform assembly is adapted to be detachably mounted to various types of furniture or household appliances, and ensure that the pets present in the resting area feel the presence the friendly human being at all times.

The invention relates to the technical field of medical instruments, and provides an organ low-temperature perfusion system and a perfusion device.The organ low-temperature perfusion system comprises an organ bin and a perfusion assembly; the perfusion assembly is used for providing perfusion power and perfusing perfusion liquid into the blood vessel of the biological organ through the perfusion channel; the perfusion assembly comprises an oscillation generator, and the oscillation generator is used for applying alternating oscillation to perfusate, so that the perfusate flows in the perfusion channel and the blood vessel of the biological organ in a periodic oscillation state; a boundary layer can be broken by oscillating fluid flow, so that perfusate is more tightly attached to the surface of an organ, and the heat transfer efficiency is improved; the ice crystal structure which is being formed can be damaged, and the icing process is slowed down; a dead zone of fluid in an organ can be reduced, the uniformity of perfusate is ensured, the local temperature gradient is reduced, and tissue damage is reduced; in addition, the oscillating flow of the perfusate can more accurately simulate the physiological conditions in a real living body, and an environment closer to the interior of the living body is provided.

The invention provides a biological characteristic closed-loop monitoring method, device and equipment based on terahertz signals, and the method comprises the steps: executing closed-loop regulation and control operation based on target biological characteristic information; wherein when the closed-loop regulation and control operation comprises environment self-adaptive regulation and control, the environment self-adaptive regulation and control comprises the steps of monitoring an environment parameter of an environment where the target organism is located, and dynamically adjusting a signal parameter used for transmitting a terahertz signal based on the environment parameter; when the closed-loop regulation and control operation comprises biological feedback regulation and control and it is judged that the target biological characteristic information meets a preset abnormal condition, the biological feedback regulation and control is used for dynamically adjusting communication network resources used for bearing terahertz signals. According to the method, the target biological characteristic information in the terahertz reflection signal and the auxiliary sensing signal is analyzed, traditional equipment does not need to be worn, and the accuracy and convenience of biological characteristic monitoring are improved; the robustness and intelligence of the whole biological characteristic monitoring system are improved through a double closed-loop mechanism of environment adaptive regulation and biological feedback regulation.

The spliced sleep deprivation mouse cage comprises a plurality of square cage bodies, a tray and a food box, the square cage bodies are transparent structural members, the top of each square cage body is provided with an organism inlet and at least one square notch, the square notches are formed in the side edges of the square cage bodies, and the food box is arranged on the tray. A plurality of water leakage holes are evenly formed in the bottoms of the square cage bodies at intervals, clamping grooves are formed in the tray, the square cage bodies can be spliced and embedded into the clamping grooves, circulation gaps are formed between the bottom walls of the square cage bodies and the inner bottom wall of the tray, and a water injection opening is formed in the side wall of the tray. When the sides, provided with the square notches, of any four square cage bodies are spliced, a containing groove communicated with the four square cage bodies is formed, and the food box is arranged in the containing groove. The splicing type sleep deprivation mouse cage can effectively deprive the sleep of mice, the problems of poor sleep deprivation and wire entanglement caused by mixed feeding of the mice are solved, the water level height in each mouse cage is consistent, and meanwhile, the water quality is convenient to replace.

A method is provided for monitoring a flow of a fluid in a vessel of a body of a living being is provided. The method comprises obtaining a first image data set representing the vessel filled with a first fluid, the first image data set comprising at least one first image frame and the first fluid contrasting with matter surrounding the vessel and obtaining a second image data set representing the vessel substantially void of the first fluid, the second image data set comprising at least one second image frame. Based on the first image data set and the second image set, an estimated location of the vessel in the second image set is estimated; and monitoring presence in the second data set of contrasting image data at the estimated location of the vessel is monitored.

The present invention provides a homocysteine ​​electrochemical sensor, and its preparation method and application. The preparation method of the homocysteine ​​electrochemical sensor of the present invention comprises the following steps: adding a dispersion containing carbon nanomaterials to the surface of a glassy carbon electrode, baking and drying, to obtain a carbon nanomaterial-modified electrode; then placing the carbon nanomaterial-modified electrode in a gold salt aqueous solution, and using an electroplating method to deposit nanogold on the surface of the carbon nanomaterial-modified electrode, to obtain a homocysteine ​​electrochemical sensor; the high conductivity of gold nanoparticles is of great significance for improving the electrocatalytic performance of the composite material for homocysteine. The homocysteine ​​electrochemical sensor prepared by the present application has low cost, low detection limit, and good stability. In addition, the spiked recovery rate of homocysteine ​​in serum samples is good, which provides potential application value for the reliable determination of homocysteine ​​in biological systems and the study of homocysteine-related diseases.

The present invention relates to an ultrasonic transducer position setting device, an ultrasonic transducer position setting program, and a method for implementing ultrasonic transducer position setting artificial intelligence. The ultrasonic transducer position setting device includes: an input / output unit for allowing a user to input data, and outputting the data in a form that is recognizable by the user; a memory for storing an ultrasonic transducer position setting program; and a control unit for executing the ultrasonic transducer position setting program to derive result data according to the data input through the input / output unit, wherein, when a focal point position of ultrasound, which is set to a region where a brain is positioned inside a skull in a living body, is input, the control unit outputs position data of an ultrasonic transducer, which allows the ultrasound to be applied to the input focal point position of the ultrasound.

A method for detecting the extent of microplastic accumulation in bivalve organisms in extreme deep-sea environments is provided. This method is performed through sampling of biological communities to represent the community structure of that biological bed layer, then morphological characterization statistics are conducted to classify the age stage data of individual bivalves, multivariate factor analysis is used to obtain the individual bivalves with the greatest degree of contribution in each classified age stage, subsequently tissue-specific microplastic extraction is performed, the morphology of seafloor microplastics is restored and streamlined identification of full-size microplastics is considered, carbon-14 dating is used to trace the duration of microplastic adsorption by each individual bivalve, dynamic accumulation curves for seafloor bivalves are constructed by connecting each bivalve's survival duration, and finally this is scaled up to the entire bivalve bed to derive the microplastic accumulation rate and historical accumulation of the entire extreme ecosystem.

A signal acquisition unit (21) acquires a biological signal. An authentication information generation unit (22) generates, based on the biological signal acquired by the signal acquisition unit (21), authentication information that differs depending on the individual of a biological body. A part information generation unit (23) generates, based on the biological signal acquired by the signal acquisition unit (21), part information that differs depending on the part from which the biological signal is acquired even in a single individual. An authentication unit (24) performs authentication based on the authentication information generated by the authentication information generation unit (22) and the part information generated by the part information generation unit (23).

The invention discloses a temperature measurement method and system for correcting organism emissivity difference through AI modeling, and relates to the technical field of organism emissivity difference temperature measurement, and the method comprises the steps: collecting the multiband infrared radiation intensity data of the surface of an organism through a multispectral imaging device; the multi-band infrared radiation intensity data are input into a space-time convolutional neural network, a wavelength-time dependent dynamic emissivity function is output, the space-time convolutional neural network comprises a physical constraint layer, and the physical constraint layer takes the Planck radiation law as priori knowledge to be embedded into a network structure; a differentiable physical engine is adopted to optimize the dynamic emissivity function, neural network parameters are adjusted by minimizing a loss function containing a physical constraint term, and the physical constraint term represents the gradient difference between the actually measured radiation intensity and the theoretical radiation intensity; and generating pathological tissue emissivity disturbance data by using a generative adversarial network, and adding the disturbance data into a training data set to enhance the generalization ability of the model.

The invention discloses a deep brain targeted stimulation method based on a time-frequency interference technology, and relates to the technical field of nerve regulation, and an application system comprises a plurality of pairs of stimulation electrode modules, a data acquisition module, a data preprocessing module, a time-frequency interference stimulation signal generation module, a central control module and a data storage module. According to the method, a multi-azimuth surrounding layout of multiple pairs of stimulation electrodes is combined with a time-frequency interference technology, so that a high-frequency electric field forms constructive interference in a deep brain target area, and meanwhile, a frequency difference is dynamically adjusted based on different organism state requirements; and a closed-loop control system of data acquisition, preprocessing, state evaluation, parameter adjustment and stimulation application is constructed. The problems that a traditional deep brain stimulation technology is low in targeting precision, poor in state guiding efficiency and insufficient in stimulation system stability are solved, the energy focusing degree is improved to 90% or above, the sleep induction time is shortened to 20-30 minutes, and the method can be widely applied to nerve disease treatment and physiological state improvement.

The invention discloses a composition with a sleep improving function as well as a preparation method and application thereof, and the composition is prepared from the following raw materials in parts by weight: 50-100 parts of acanthopanax root, 30-50 parts of lotus seed, 50-100 parts of spina date seed, 30 parts of lily, 30 parts of longan, 30-50 parts of poria cocos, 30 parts of radix ophiopogonis, 10-30 parts of rehmannia, 10-30 parts of gastrodia elata, 2 parts of glutamic acid, 0.1 part of vitamin B, 0.1 part of vitamin B6 and 0.1 part of gamma-aminobutyric acid. The traditional single target spot limitation is broken through, a synergistic effect system of tonifying the spleen and soothing the nerves-neurotransmitter regulation and control-intestinal brain axis regulation is formed, a buffer solution of pH simulation biological fluid is adopted as a non-organic extraction medium in the process, the ultrasonic cavitation effect and the plasma activation effect are combined, the temperature is controlled in the whole process, and the preparation method is simple and easy to implement. The problems of vortex, uneven extraction, dead volume, solvent residue, active ingredient damage and the like in traditional extraction are fundamentally solved, the composition capable of effectively improving the sleep quality is obtained, and animal model and crowd experiments prove that the composition can effectively improve the sleep quality and achieve a good sleep aiding effect.

The present application is directed to a method for identifying at least one candidate (Loc), namely a gene location and / or a sequence variant, indicative for at least one selected (phenotypic) trait of an organism, in particular of a plant, comprising the steps of:a. receiving a plurality of candidate lists (Can1, Can2, Can3) of candidates (Loc), the candidate lists being ordered;b. receiving a reference set (RefDB) with gene locations and / or sequence variants;c. matching at least a subset of candidates (Loc) from the candidate lists (Can1, Can2, Can3) with the reference list (RefDB) to determine an evaluation value (EV) for at least the subset;d. assigning each evaluation value (EV) to the respective candidate (Loc) in the respective candidate lists (Can1, Can2, Can3);e. calculating for each candidate list a performance value based on the evaluation value (EV), in particular by using the evaluation values (EV);f. selecting at least one candidate (Loc) as (preferred) candidate (Loc) from one of the candidate lists (Can1, Can2, Can3) using the performance values.

The invention aims to provide a method and equipment for constructing a machine learning force field for a biological system, a medium and a program product, and the method comprises the steps: carrying out the molecular dynamics simulation based on a first biological system, and obtaining a plurality of pieces of corresponding frame information; determining a plurality of pieces of structure information corresponding to each piece of frame information by using a molecular cutting algorithm; calculating system property information corresponding to each piece of structural information by using a quantum chemistry method; based on the system property information corresponding to each piece of structure information, determining a corresponding first sample data set; and training and obtaining a first machine learning force field by using the first sample data set. The research simulation of the biological system is carried out through the first machine learning force field, and the calculation efficiency can be improved while the calculation precision is guaranteed. Moreover, a molecular cutting algorithm is adopted to obtain a large amount of structural information for each frame of information to form training data, so that the generalization ability and prediction precision of a machine learning force field are further improved.

The present invention relates to informing surrounding people of biological information of a user in a more popular and understandable manner. A vehicle system (1) includes: a seat (10) as an example of an interior member disposed in a vehicle (C); an ornament (20) provided to the interior member; a winch (23) as an example of an electric device for changing the shape of the ornament (20); a heartbeat sensor (61) and a respiration sensor (62) as one example of sensors for acquiring biological information of a user; and a control unit (50). The control unit (50) changes the shape of the ornament (20) by operating the electric device on the basis of the biological information acquired from the sensor.

The invention relates to an active oxygen concentration control method and a brain-computer interface implant accelerated life test system. The accelerated life test system is used for testing the electrochemical performance of a brain-computer interface implant by using a test solution. The method comprises the following steps: detecting a current feedback current corresponding to a current test solution; obtaining the current active oxygen concentration according to the current feedback current and a preset active oxygen concentration and current relation function; generating a filling parameter according to a concentration difference value between the current active oxygen concentration and a preset active oxygen concentration; and adding a hydrogen peroxide solution into the current test solution according to the filling parameters, so that the current test solution reaches the preset active oxygen concentration. According to the method, the active oxygen environment generated by immune reaction in a living body can be simulated through the test solution, the active oxygen concentration in the test solution can be precisely regulated and controlled, and the accuracy of the test result of the brain-computer interface implant is improved.

The biological signal measuring clothing of the present invention comprises: a clothing main body; an electrode, which is used in close contact with the skin surface side of the clothing main body; a wiring, which is arranged on the outer surface side of the clothing main body and is electrically connected to the electrode at one end; a metal connector, which includes a surface material and a back material, and the other end of the wiring is electrically connected by the engagement of the surface material and the back material, and the electronic device is connected to the surface material; and an insulating material, which seals the wiring and the back material of the metal connector, wherein the wiring is arranged from the outer surface side to the skin surface side via a cutout provided in the clothing main body, and is directly contacted with the back material of the metal connector that passes through the surface and back of the clothing main body to be connected, and the insulating material also seals the cutout.

A user requests validation of a human biometric profile to access a bio-origin validation engine (OVE) with a classification database for all types of biological organisms using biometric signals from all type of sensors and devices such as wearables, environmental and peripherals. The bio-origin components are comprised of an OVE validator system, a biological classification system, an intelligent network interface, validated objects, and a service bridge. A validation engine provides access to a secured network of validated users and systems components. The service bridge provides a platform for validated users use of dynamic biometric signals to augment intelligent services outcome and output. Users of the service bridge biometric use metrics are recorded and logged to validate and issue a certificate of ownership and authenticity. The outcome or output is delivered to a bio-origin validated machine readable encoded content with terms and conditions of distribution and use.

The present invention relates to a device (10) for vibrating aquariums (18) intended to house living organisms in order to study their sensitivity and response to vibrations. The device comprises a base (12), a frame (14) arranged above the base (12) to form a workspace (24) between the base (12) and the frame (14), an armature (28) fixed to the base (12) and supporting the frame (14), a support (16) placed in the workspace (24) and intended to hold at least one aquarium (18), and a vibrating module (64) comprising a housing (66) mounted on the frame (14) and an end (68) fixed to the support (16). The support (16) is carried by the frame (14) by means of at least one suspension element (40) capable of elastic deformation. Figure for the abstract: 2

The present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs or organisms. In some embodiments, through sequential barcoding, the present invention provides methods for high-throughput profiling of a large number of targets, such as transcripts and / or DNA loci.

The invention relates to the technical field of minimally invasive treatment surgical medical instruments, and discloses a magnetic anchoring traction device, which comprises an outer magnetic mechanism, an inner magnetic mechanism, an inner magnetic mechanism, a traction mechanism, a traction mechanism and a traction mechanism, and is characterized in that the outer magnetic mechanism is configured to be arranged outside an organism and comprises an outer magnet with magnetism or capable of generating magnetism; the inner attraction body is made of a material which does not have magnetism and can be magnetized close to the magnet, the inner attraction body is configured to be arranged inside a living body, and the upper end of the inner attraction body is used for facing the lower end of an outer magnetic mechanism located outside the living body, so that the inner attraction body and the outer magnet attract each other; and the upper end of the tractor is connected with the lower end of the inner aspirator, and the lower end of the tractor comprises a connecting part and is used for dragging tissues or organs in a living body or is connected with an in-vivo catheter. By means of the internal attraction body which is not magnetic and is made of a material which is close to the magnet and can be magnetized, the influence of magnetic force on an instrument in a living body can be reduced, high-temperature disinfection of the internal attraction body is facilitated, and therefore the safety of minimally invasive treatment surgery is improved.

This invention discloses a rapid mass spectrometry method and kit for the simultaneous detection of multiple components in body fluids, belonging to the field of biological detection and identification technology. It can rapidly detect trace compounds such as drugs and biomarkers in complex biological samples. This kit mainly utilizes loaded functional materials to achieve extraction and enrichment of target analytes and is equipped with a quick connector for coupling with a detector to achieve rapid detection. Compared with traditional methods, the significant advantages of the method established by this kit are that it does not require complex sample pretreatment, allows for micro-quantitative sampling, requires small sample volumes, facilitates convenient storage of biological samples, is easy to operate, does not require specialized technical personnel, and enables rapid on-site detection when coupled with portable mass spectrometry. This kit has been successfully used for the detection of quinine, procainamide hydrochloride, atenolol, and nortriptyline in complex samples such as blood and serum, and has significant clinical and economic value.