38 results about "Organ system" patented technology

Systems and methods for cooling an organ to an individualized temperature based on organ parameters. A transport container can store the organ at a target temperature determined based on characteristics of the organ and the donor. A processor can determine the target temperature for preservation of the organ. The determination may be based on preservation time, the type of the organ, the age of the donor, the circulatory condition of the donor, the brain condition of the donor, and the metabolic rate of the donor.

The invention belongs to the technical field of medical imaging and digital twinning, and discloses a thoracic cavity whole organ system level lung four-dimensional EIT detection digital motif and a library building method, and the method comprises the following steps: S1) segmenting multiple organs such as double lungs, heart, sternum, rib and thoracic vertebra central axis skeleton, main bronchus and esophagus based on an individual CT image, and building a three-dimensional geometric model integrated with an EIT electrode array; s2) simulating breathing dynamic deformation by using a solid mechanical model; s3) establishing a coupling relationship between deformation and conductivity, and generating dynamic three-dimensional conductivity distribution; s4) solving an electromagnetic field positive problem, and generating a virtual EIT voltage database synchronous with respiration; the invention also covers pathological model integration and data enhancement strategies. According to the method, a high-fidelity, large-scale and diversified EIT virtual data set can be generated, core data support is provided for training and verifying an AI intelligent reconstruction algorithm, and a model foundation is laid for developing a lung function dynamic digital twinning system.

The invention relates to an organ system phenotypic aging assessment method, device and equipment and a storage medium. According to the main technical scheme, the method comprises the steps of obtaining phenotypic aging marker information of all organ systems of a to-be-evaluated object, preprocessing the phenotypic aging marker information, determining a model modal type used for processing the phenotypic aging marker information according to the information type of the phenotypic aging marker information and the gender of the to-be-evaluated object, and determining the sex of the to-be-evaluated object according to the model modal type. Predicting the biological age of the organ system based on a pre-trained organ system aging model according to the model modal type and the pre-processed phenotypic aging marker information, and determining the age of the organ system according to the actual age of the to-be-evaluated object, the biological age of the organ system and pre-stored population sample information. And evaluating the phenotypic senescence state of the organ system of the to-be-evaluated object, so that the phenotypic senescence state of each organ system of the human body can be comprehensively and accurately evaluated.

The disclosed in vitro systems allow for multiple organs (organoids) to be cultured in the same conditions, connected with the same microcirculation, subjected to the same pathological state, and treated with the same therapeutic approach. This allows for determination of the how various organ systems respond to a pathological stress and also how a therapeutic approach may effect various organoids differently. The in vitro systems also provide for single organoids.

A method, a system, and a non-transitory computer-readable medium provides an interactive patient-level data visualization and analysis tool that illustrates a patient's health trajectory across multiple organ systems. Data from an electronic medical record system and one or more research databases are integrated into an analytics platform. A visualization tool plots the patient's health trajectory and overlays data from an entire user-defined disease cohort as a reference group to visualize a disease course of the patient compared to courses of other patients, with a same disease, selected by a user.

The invention discloses a medical critical risk prediction method based on physical sign data monitored by a smart watch, and relates to the technical field of critical monitoring, and the method comprises the steps: constructing a multi-dimensional physical sign fusion analysis model, collecting dynamic physiological parameters in real time through the smart watch, and updating a personalized health baseline; based on the personalized health baseline, detecting a pathological fluctuation mode in the dynamic physiological parameters through a time sequence convolutional network; inputting the identified abnormal waveform features into a risk prediction model optimized by transfer learning, and calculating a coupling risk index of the multi-organ system; establishing a three-level response early warning mechanism based on the coupling risk index of the multi-organ system; and generating an intervention scheme based on the coupling risk index of the multi-organ system. Compared with the prior art, the intelligent wearable device has the advantages that the multi-organ risk conduction model is combined, the severe risk is accurately predicted, a risk identification-early warning-disposal dynamic management system is formed, and the clinical practical value of the intelligent wearable device in a pre-hospital emergency scene is effectively improved.

The invention discloses a four-dimensional EIT respiration monitoring method based on digital twinborn assistance, which comprises the following steps: firstly, constructing an individualized digital twinborn model which comprises an accurate three-dimensional geometric structure and electrical characteristic parameters and covers thoracic cavity whole organ systems including double lungs, a heart, a central axis skeleton, a main bronchus, an esophagus and the like on the basis of a chest medical image CT of a patient; the method comprises the steps that firstly, a stable and standardized theoretical reference voltage is generated on a model through electromagnetic field simulation, then, virtual-real fusion is conducted on the theoretical reference voltage, a clinically-collected voltage signal in real time and a clinically-actually-measured reference voltage sequence, and finally, a four-dimensional conductivity change image is reconstructed based on the fused dynamic voltage difference. According to the method, reference drift is effectively inhibited, individualized anatomical information is fused, and semi-absolute quantitative evaluation of the pulmonary ventilation function is achieved.

Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying asymptomatic patients into a risk category for having or developing cancer and / or classifying a patient with an increased risk of having or developing cancer into an organ system-based malignancy class membership and / or into a specific cancer class membership.

Systems and methods for designing and generating architectures for the selective transport across fluid networks in 3D printed organ systems are provided. An example method includes: identifying, two or more fluid networks of a reference organ system and a transport characteristic between the two or more fluid networks; generating a model of each fluid network that includes channel parameters for channels associated with the fluid network; determining, based on the transport characteristic, a wall thickness between a channel of one fluid network, to a channel of another fluid network, for each of the two or more fluid networks; integrating the models of each fluid network to generate an organ system model that includes at least a representation of the functional region based on the wall thicknesses between respective channels between the two or more fluid networks; and generating a 3D printed organ system based on the organ system model.

A genetically modified mesenchymal stem cell including an exogenous nucleic acid including a Klotho encoding region operably linked to a promoter or promoter / enhancer combination, wherein the genetically modified mesenchymal stem cell exhibits increased Klotho expression compared to an unmodified mesenchymal stem cell. Also disclosed are methods of treating a patient including administering a therapeutically effective number of the genetically modified mesenchymal stem cells to the patient. The methods of treatment include treating the patient for a neurodegenerative disease; cancer; organ fibrosis; renal disease; age-related changes of organs or organ systems; to slow, reverse and / or inhibit aging; arteriosclerosis; dementia; diabetes mellitus; erectile dysfunction; autoimmune diseases or autoimmune-related diseases; an inflammatory disease of the lung and sepsis.

The invention discloses a multi-organ system biological age assessment method, and relates to the technical field of health assessment, and the method comprises the steps: S1, obtaining data; step S2, preprocessing the data; s3, screening biological age construction indexes of the multi-organ system; and S4, estimating the biological age of the multi-organ system. According to the method, the defects of an existing biological age model in the aspects of crowd applicability and prediction accuracy are overcome, accurate evaluation of the biological age of a multi-organ system is achieved, early recognition and accurate prevention and control of senescence-related diseases can be achieved, systematicness and heterogeneity of the senescence process are revealed, and the method is suitable for popularization and application. And more evidences are provided for pertinently intervening the senescence process.

Systems and methods for designing and generating architectures for the selective transport across fluid networks in 3D printed organ systems are provided. An example method includes: identifying, two or more fluid networks of a reference organ system and a transport characteristic between the two or more fluid networks; generating a model of each fluid network that includes channel parameters for channels associated with the fluid network; determining, based on the transport characteristic, a wall thickness between a channel of one fluid network, to a channel of another fluid network, for each of the two or more fluid networks; integrating the models of each fluid network to generate an organ system model that includes at least a representation of the functional region based on the wall thicknesses between respective channels between the two or more fluid networks; and generating a 3D printed organ system based on the organ system model.

The present disclosure relates to a genetically engineered biological product, the genetically engineered product having a plurality of cells cohered in three dimensions, where the cells have differentiated from a single cell source into at least two differentiated cell types, and where the cells commonly contain a plurality of genomic alterations that are each respectively neuron-depleting and / or neuron disrupting, central nervous system restricting, central nervous system disrupting, and / or body plan restricting, where the biological product is a sac encasing at least one organ. The present disclosure also provides methods for producing the genetically engineered biological product.

This invention relates to the field of biomedical technology, specifically disclosing a modular interactive organ-on-a-chip and its application method. The chip body includes an inlet and an outlet, a flow channel at the bottom of the chip body connecting the inlet and outlet, multiple chambers on the chip body, an endothelial barrier installed within each chamber, and an organoid culture device. The bottoms of the multiple chambers are connected to the flow channel. The inlet, outlet, and chambers form a dynamic circulation system. This invention effectively achieves physiological coupling between organs, establishing bidirectional feedback regulation between organs; it also supports the large-scale expansion of multiple culture chambers to form more complex multi-organ networks; it enables the construction of a cross-chip microphysiological communication network covering multiple human systems; and by achieving cross-scale parameter monitoring from molecular transport to organ function, it provides highly scalable and efficient measurement capabilities for pathophysiological research of complex multi-organ systems and high-throughput drug screening.

The invention discloses a method for predicting harm of a new pollutant PFAS to human health based on a large language model, and aims to solve the problems of single structural feature expression, lack of toxicological semantic fusion, insufficient multi-organ toxicity prediction capability and the like in the prior art. According to the method, PFAS multi-dimensional structure features are extracted through combination of a graph neural network and molecular fingerprints, toxicology literature semantic evidence is mined based on a large language model, structures and semantic evidence vectors are fused by adopting a Transform multi-task framework, a multi-label classification model covering six organ systems including the liver, the kidney and the nerves is constructed, the toxicity probability of each organ is output, and the toxicity probability of each organ is calculated. Five risk levels are divided, and interpretable results are provided in combination with structure fragments and literature evidence. According to the method, the accuracy and stability of toxicity prediction are improved, and PFAS substitute screening and health risk management and control are assisted.

Systems and methods for selectively perfusing cadaverous organ systems for surgical simulation are provided. A first fluid reservoir contains a first perfusion fluid and fluidically connects to conduit, which fluidically connects to a first body part associated with the organ system. A pump fluidically connects to the first reservoir and conduit and directs the first perfusion fluid into the first body part. A second fluid reservoir contains a second perfusion fluid and fluidically connects to conduit, which fluidically connects to a second body part associated with the organ system. In aspects, the second fluid reservoir is positioned at higher elevation than the organ system to create passive feed pressure of the second perfusion fluid to the second body part. The systems may include drainage mechanisms from the organ system. Aspects include selective perfusion of the liver, thorax, head and neck, and / or extremities of a cadaver.

The present invention is in the fields of medicinal chemistry, biotechnology and pharmaceuticals. The invention provides compositions comprising one or more collagen mimetic peptides, optionally attached to one or more therapeutic compounds or one or more imaging compounds, methods for use of such compositions in treating, preventing, ameliorating, curing and / or diagnosing certain diseases and physical disorders in humans and veterinary animals, particularly nervous system diseases, disorders and injuries and cardiovascular system diseases, disorders and injuries. The invention also provides the use of such compositions in treating, preventing, ameliorating, curing and / or diagnosing diseases, disorders and conditions in a variety of other tissues, organs and organ systems. The invention also provides medical devices comprising one or more such compositions of the invention.

The application provides a drug circulation simulation method based on a digital organ system, pre-stored organ lesion states are input as initial conditions D(0) into the digital organ system, circulation flow resistance and drug transmembrane resistance in the digital organ system are adjusted during perfusion, so that organ lesion trends D(t) show a nonlinear downward trend over time, the circulation flow resistance and the drug transmembrane resistance are respectively fluid mechanics parameters and drug transport parameters in the digital organ system; the fluid dynamics behavior of the digital organ simulation system is quantitatively described by a flow resistance system, the flow resistance system couples macroscopic structures at the inlet of perfusion blood vessels and microscopic structures of end-liver lobule functional units through unified flow resistance physical parameters, and is used for organ cross-scale structure modeling calculation; the liver lobule functional unit is simulated through a porous medium model, and the liver lobule functional unit is equivalent to a calculable unit with specific fluid mechanics characteristics.

The present invention relates to the process of using signal-emitting and / or receiving objects or smart medical devices for image acquisition, and which can utilize a variety of external energy sources which are directly applied and / or incorporated into the host subject to produce a continuous and dynamic visual representation of the host subject on a computer display, which representation hereafter will be referred to as a visualization map. The derived images can be targeted, to small (i.e., focal) areas of clinical interest, to organ systems, or the entire body. The present invention provides a scalable method for continuous and dynamic imaging over prolonged periods of time, as dictated by the clinical context.

Described herein are devices, systems, and methods used to assess an organ or organ system and determine a course of treatment for said organ, organ system, and / or patient.

The application discloses a four-dimensional EIT respiratory monitoring method based on digital twin assistance, which comprises the following steps: first, constructing an individualized digital twin model containing accurate three-dimensional geometric structure and electrical characteristic parameters and covering the whole organ system of the thoracic cavity including double lungs, a heart, central axial skeleton, main bronchus and esophagus and the like based on the chest medical image CT of a patient; second, generating a stable and standardized theoretical reference voltage on the model through electromagnetic field simulation; then, fusing the theoretical reference voltage with the voltage signal collected in real time in the clinic and the reference voltage sequence measured in the clinic; and finally, reconstructing a four-dimensional conductivity change image based on the fused dynamic voltage difference. The application effectively suppresses reference drift, fuses individualized anatomical information and realizes semi-absolute quantitative evaluation of lung ventilation function.

The present application discloses a three-dimensional visualization method, device, equipment and medium applicable to medical teaching, which relates to the field of computer technology, and includes: performing data fusion on multi-modal medical data sets to construct three-dimensional digital models of various organs for three-dimensional dynamic visualization; constructing an initial knowledge graph for the organ system dimension by using a graph neural network based on the three-dimensional digital models of various organs, and the nodes are the anatomical structures, disease entities and molecular mechanisms of the three-dimensional digital models of various organs; drawing dynamic connection lines between the nodes in the initial knowledge graph according to the association relationships between the nodes to obtain a target knowledge graph; displaying an initial state of the target knowledge graph on a preset display carrier; locking a target display object corresponding to a graph display adjustment instruction in the target knowledge graph, and visualizing the target display object on the preset display carrier. It breaks the limitations of three-dimensional visualization centered on disciplines.

This invention belongs to the field of medical imaging and digital twin technology, and discloses a method for constructing a four-dimensional EIT (Electro-Induced Thrombectomy) digital phantom and database for lung imaging at the whole-organ system level. The method includes: S1) segmenting multiple organs such as the lungs, heart, sternum, ribs, thoracic vertebrae, main bronchus, and esophagus based on individual CT images to construct a three-dimensional geometric model integrating an EIT electrode array; S2) simulating dynamic respiratory deformation using a solid mechanics model; S3) establishing the coupling relationship between deformation and conductivity to generate a dynamic three-dimensional conductivity distribution; and S4) solving the electromagnetic field forward problem to generate a virtual EIT voltage database synchronized with respiration. This invention also covers pathological model integration and data augmentation strategies. This invention can generate high-fidelity, large-scale, and diverse virtual EIT datasets, providing core data support for training and validating AI intelligent reconstruction algorithms, and laying a model foundation for developing a dynamic digital twin system for lung function.

The present invention relates to methods for producing an artificial basement membrane comprising a fiber mesh, artificial basement membranes comprising a fiber mesh, in particular produced by means of the method according to the invention, as well as in vitro test systems, cell culture systems, filtration systems and organ systems comprising at least one artificial basement membrane of the present invention.

This invention discloses a method and device for predicting disease risk based on plasma proteomics and waist circumference, belonging to the field of medical data processing. Utilizing 2,920 plasma proteins from 52,879 participants in the UK Biobank, this invention constructs a proteomics-based waist circumference proWC score using LASSO regression, and derives the protein-anthropometric difference index proWCΔ to quantify the difference between proteomics-based waist circumference and measured waist circumference. Based on the proWC score and proWCΔ, disease risk association analysis, mortality prediction, causal mediation analysis, and dietary association analysis were conducted across 14 organ systems, demonstrating that proWC has superior clinical predictive value compared to waist circumference alone. Furthermore, based on proWC, a hidden high-risk subgroup was identified—patients with normal measured waist circumference but a near-overtly obese risk of diabetes-related death. By constructing proWCΔ and proWC, this invention elevates the assessment of central obesity from morphological measurements to the molecular level, providing a new molecular framework for precise risk stratification of central obesity.

A system and method for interactive three-dimensional visualization of physiological stress effects on the human body uses biomarker correlation algorithms to determine physiological responses to physical trauma and toxic stress events. The system receives stress event data, calculates biomarker levels including cortisol, blood pressure, blood sugar, and inflammatory markers, and identifies affected organ systems including cardiovascular, nervous, endocrine, digestive, immune, and reproductive systems. Three-dimensional anatomical models are modified with visual characteristics depicting stress-induced changes based on the biomarker data, including color alterations, geometric deformations, and animated effects. A temporal progression interface enables visualization of immediate, short-term, and long-term physiological effects. Spatial audio synchronized with visual animations provides immersive auditory feedback. Cross-platform rendering modules optimize visualization for mobile devices, desktop computers, tablets, virtual reality headsets, and augmented reality glasses. The system provides for real-time interactive manipulation of anatomical visualizations, particularly for pediatric toxic stress education related to corporal punishment.

The invention discloses a comprehensive analysis system for medical health data, and the method comprises the following steps: extracting multi-dimensional clinical features from the medical health data, calculating a K theoretical index and a Cheesimons invariant, and obtaining a health topology spectrum index; on the basis of the topological spectrum index and continuous physiological monitoring, calculating the variation derivative of the Bennacadokr action quantity, and generating a causal structure collapse index in combination with Hessian matrix spectrum distribution; calculating a holographic critical dimension index in combination with the collapse index and the organ system score data; constructing a hypersymmetric theoretical framework according to the dimension index and clinical intervention historical data, and generating a topology protection intervention index; and fusing the intervention index with patient and environment multi-dimensional constraints, establishing ternary system function mapping under a high-order category theory framework, and calculating topology decision invariants. The accuracy of the medical intervention strategy is improved by analyzing the medical health data.

The current document is directed to an automated system that continuously collects and processes physiological, functional, and health data, processes the collected data to continuously develop and refine computational models that generate, from the collected data, multiple health-entropy metrics for the individual's whole-body, for specific-organ-systems, for specific multi-organ-system conditions, and for specific functionalities. The health-entropy metrics are transmitted to organizations, professionals, and individuals for monitoring individuals' health, for diagnosing diseases and conditions, for developing therapies and treatments for individuals as well as generally applicable therapies and treatments, for supporting basic research in pharmaceutical development, biomarker selection, diagnosing and monitoring various diseases and conditions, and public health monitoring, and for use by individuals for diet planning, accessing healthcare services, making lifestyle selections and adjustments, and monitoring therapies and treatments.

The invention provides a system and method for evaluating the hypoglycemic effect of a product, the system comprises a multi-organ chip and a driving device, the multi-organ chip comprises a plurality of chambers arranged in an array, the chambers comprise a second chamber, a third chamber and a fourth chamber which are independently used for culturing liver organs, pancreas islet organs and muscle organs respectively, and the driving device is connected with the second chamber, the third chamber and the fourth chamber; the second chamber, the third chamber and the fourth chamber are connected in series through a fluid micropipe; the driving device is connected with the multiple organ chips and used for driving the multiple organ chips to move. By creating a relatively independent culture environment, the system can be used for constructing an in-vitro platform for evaluating the hypoglycemic curative effect and metabolic pathway of a product, and can also be combined with other sugar regulating organs to further clarify metabolic crosstalk with a sugar regulating organ system, so that a unique and reliable research platform is provided for development of hypoglycemic drugs in the future. Besides, the system can provide a plurality of fluid channels to realize high-throughput detection, so that the time and the economic cost of drug research and development are remarkably reduced, and the application value is high.