23 results about "Histologic type" patented technology

The invention provides a method for constructing a CT-MRI (Computed Tomography-Magnetic Resonance Imaging) personalized three-dimensional heart model based on multi-modal imaging, which comprises the following steps of: firstly, carrying out myocardial and infarction region segmentation on a CMR-LGE image, and carrying out myocardial and intramyocardial adipose tissue segmentation on a CE-CT image to generate a corresponding Label image; then, a high-precision three-dimensional volume mesh model of the corresponding ventricle is constructed based on the segmentation results of the two types of images; and then, mapping the corresponding Label image with the tissue type to a corresponding finite element model according to the coordinates of the grid, and obtaining a corresponding personalized ventricular model with the tissue type. An interpolation method based on a general ventricular coordinate system is adopted, data of an MR ventricular model with infarct tissue attributes is transferred to a CT ventricular model, and therefore a mixed CT-MRI ventricular model is constructed. And finally, storing the constructed CT-MRI ventricular model data with the integrated tissue attributes as a standard geometric and topological file format.

The present invention relates to proteins suitable for being used as scaffolds to which a peptide of interest is bound, or which are comprised within a conjugate to which an agent of interest is attached. It also relates to said conjugates suitable for the selective delivery of their conjugated agents of interest to specific cell and tissue types, wherein said agent can be a therapeutic agent or an imaging agent. It also relates to nanoparticles comprising such conjugates and the therapeutic uses thereof.

A controller, communicatively coupled to an ultrasound transducer, acquires image data of one or more subregions of a target area, determines the tissue type, vascular characteristics, or microbubble concentration associated with each of the one or more subregions based on the image data, determines acoustic therapy parameters for each of the one or more subregions based on the tissue type, vascular characteristics, or microbubble concentration associated with each of the one or more subregions, and causes the ultrasound transducer to ultrasonically treat the one or more subregions according to the acoustic therapy parameters corresponding to each of the one or more subregions.

A surgical robotic system (10) provides customizable haptic and force feedback to enhance surgeon control and precision. The system includes one or more robotic arms (40) with attached surgical tools (50, 51) and a surgeon console equipped with display screens (32, 34) and input devices, such as handle controllers (38a, 38b), that replicate the surgeon's movements. The input devices feature haptic and force feedback assemblies, allowing the user to receive tactile feedback during surgery. The system is configured to tailor feedback settings based on individual user profiles, which can be created and calibrated via a user- specific logon process. Calibration is achieved through simulated object manipulation or real-time adjustment during surgery. Additionally, the feedback can be dynamically adjusted depending on the tissue type or critical structures being operated on. User profiles are stored locally and / or in the cloud, enabling seamless access across multiple robotic systems.

The invention relates to the technical field of medical instruments, and discloses a forceps head structure optimization method and system applied to a laparoscopic surgery, and the method comprises the steps: constructing an optical fiber sensing network at a forceps head of a surgical forceps, and configuring a rigidity self-adaptive composite material in a flexible clamping surface of the forceps head; the method comprises the following steps: generating an optical signal transmission attenuation map of a tong head in the contact process with different biological tissue types through an optical fiber sensing network, and establishing a mapping relation library between the optical signal transmission attenuation map and the mechanical property parameters of the biological tissue; based on the mapping relation library, generating a driving control signal of the stiffness self-adaptive composite material to reconstruct a mechanical conduction path of the stiffness self-adaptive composite material; and in combination with the rigidity self-adaptive composite material, the mechanical conduction path and the driving control signal, performing forceps head structure optimization treatment of the laparoscopic surgery to obtain a forceps head structure optimization result. Self-adaptive clamping of diversified tissues can be achieved on a single forceps head.

A computer-generated, three-dimensional a heart model established with an electromechanical aspect and an electrophysiological aspect. The model may include tissue types and associated cell models comprising a system of ordinary differential equations describing properties for that tissue type, at least describing cell kinetics for ion channels of that tissue type. A three-dimensional model of a heart is constructed by creating a volume mesh comprising tissue type regions corresponding to each of the plurality of tissue types, wherein each tissue type region defines a local muscular fibre orientation in each tissue type region to correspond to a local alignment of muscular cells. The method further comprises running coupled three-dimensional electromechanical and electrophysiological simulations across the volume mesh. One or more derived physiological parameters are determined for the virtual patient.

Proposed is a method for replacement therapy for damaged skin using polymeric collagen-laminin matrices which are histotypically similar to tissues of the body and contain biologically active agents in the form of cellular derivatives, namely collagens and laminins, which promote the structure-forming function of the damaged area. The subject of the invention is a new and effective method for producing such a matrix with a wound-healing effect, said method making it possible to reduce the toxic load and improve the final product yield, as well as improve the quality of the purification and rinsing of the collagen-laminin matrix. The collagen-laminin matrix produced using the method according to the invention is a safe and effective material for regenerative medicine (including for the healing of ulcers, burns, wounds and skin defects), and one which does not require frequent replacement throughout the healing period. It also holds promise for use in clinical practice for the treatment of surgical, traumatic or chronic wounds, as well as burns.

The present invention relates to nanostructured conjugates, more specifically to nanostructured fusion proteins suitable for the selective delivery of their conjugated therapeutic agents to specific cell and tissue types. It also relates to nanoparticles comprising such nanostructured proteins and the therapeutic uses thereof.

An opto-physiological parameter is measured by obtaining a model of the opto-physiological properties of at least one body tissue type to be monitored, obtaining a physiological property of the subjec

There is described a system for determining an atherosclerotic pathological tissue type of a coronary artery, the system comprising: an optical coherence tomography (OCT) imaging system being configured for acquiring an OCT image of tissue within said coronary artery; and a controller configured for: using a trained fully convolutional engine stored on said memory and having a plurality of convolutional layers with respective dilation rates different than unity, extracting pathological tissues regardless their type in at least a region of interest of said OCT image; using a trained auto-encoder classification engine stored on said memory and having a layer characterized with a sparsity regularization parameter, determining an atherosclerotic pathological tissue type associated to said region of interest of said OCT image based on said extracted pathological tissues; and outputting said atherosclerotic pathological tissue type of said coronary artery.

A method for generating at least one transducer location to deliver a tumor therapy electric field to a subject is provided. The method includes obtaining a medical image of a subject, the medical image having a plurality of voxels, the medical image representing a plurality of tissue types of the subject, where at least one voxel is associated with each tissue type. The method further includes determining a conductivity of the tissue type of the subject in the medical image using the trained machine learning model and the medical image of the subject, the trained machine learning model is trained using medical images of a plurality of other subjects and resistances obtained by applying the tumor therapy electric field to the other subjects. The method further includes identifying a location of a tumor in the medical image; and generating at least one transducer location to deliver the tumor therapy electric field to the subject.

A biologic tissue identification and differentiation system includes a cold- atmospheric plasma device having a plasma discharge end, the plasma end to direct plasma at a biologic sample, an optical sensor to capture optical characteristics from the plasma and the biologic sample, an electrical sensor to capture electrical characteristics from one or more electrodes and the biologic sample, and a machine learning system to receive at least one of the optical characteristics and the electrical characteristics to output a classification of a tissue type of the biological sample. A method of identifying biologic tissue includes applying a cold-atmospheric plasma to a biologic sample, capturing one or more optical characteristics from the plasma and the biologic sample, capturing one or more electrical characteristics from one or more electrodes and the biologic sample, and using a machine learning system to receive at least one of the optical characteristics and electrical characteristics to output a tissue type classification of the biological sample.

A system for predicting immunotherapeutic efficacy for colorectal cancer performs operations of: obtaining a digital image of a biological tissue a colorectal cancer patient; predicting a tissue type parameter and a cell type parameter corresponding to the digital image of the biological tissue based on a classifier algorithm model; determining a plurality of cell feature parameters corresponding to the digital image of the biological tissue based on a calculating rule of a plurality of cell features corresponding to the tissue type parameter and the cell type parameter; calculating a therapeutic efficacy score corresponding to the colorectal cancer patient according to the plurality of cell feature parameters and a predetermined parameter scoring rule; and the therapeutic efficacy score is configured to predict the therapeutic efficacy of the colorectal cancer patient receiving immunotherapy.

Systems and methods for an insertable medical device are described. The device comprises a device body configured to be insertable into a subject; proximal and distal openings; a cavity extending through the device body and in communication with the proximal opening and the distal opening, the cavity and the proximal opening being dimensioned to receive an instrument therein; a plurality of electrically conductive pads configured to be positioned a predetermined location relative to the proximal and distal openings, and configured to sense an electrical characteristic of the subject; an I / O device configured to: output signal data from the electrically conductive pads to a processing device operating a ML algorithm, the signal data including data corresponding to the electrical characteristic of the subject, and receive response data generated by the ML algorithm indicating a tissue type proximate respective electrically conductive pads based on an analysis of the signal data.

The invention relates to the technical field of sensing, and discloses a safe clamping histology scoring method and system for a laparoscopic surgery, and the method comprises the steps: constructing a clamping end sensor array of a laparoscopic surgical instrument, so as to collect mechanical data and a tissue image sequence of a clamping region corresponding to the laparoscopic surgical instrument; constructing a tissue specificity parameter library of the laparoscopic surgical instrument; analyzing a target tissue type of the clamping area so as to match a target safe clamping force interval and a target tissue visual feature baseline of the tissue specificity parameter library; calculating a mechanical score item of the clamping area, and calculating a color deviation degree, a red channel intensity change rate and a texture homogeneity loss value of the clamping area so as to calculate a visual score item of the clamping area; and calculating a safe clamping histological score of the clamping area so as to output a safe clamping grade and state prompt information of the clamping area. According to the invention, the timeliness and accuracy of safe clamping histology scoring can be improved.

This invention discloses a high-frequency electrosurgical unit adaptive control method, system, device, and program product. The method includes: first, acquiring tissue data from the surgical site and recording the current response time in real time; the tissue data includes tissue voltage data and tissue current data; then, performing data preprocessing and feature extraction on the tissue data to obtain tissue impedance characteristics; based on the tissue impedance characteristics, performing tissue state identification and tissue type identification to obtain tissue state identification results and tissue type identification results; finally, generating adaptive energy output parameters based on the tissue state identification results and tissue type identification results. This invention achieves the identification of surgical tissue and adaptive control of electrosurgical unit energy output, effectively improving the accuracy, safety, and efficiency of surgical cutting.

Methods and related devices for impinging light on tissue, for example within a body of a patient, to induce various biological effects are disclosed. Biological effects may include at least one of inactivating and / or inhibiting growth of one or more pathogens, upregulating a local immune response, stimulating enzymatic generation of nitric oxide to increase endogenous stores of nitric oxide, releasing nitric oxide from endogenous stores of nitric oxide, and inducing an anti-inflammatory effect. Wavelengths of light are selected based on intended biological effects for one or more of targeted tissue types and targeted pathogens. Light treatments may provide multiple pathogenic biological effects, either with light of a single wavelength or with light having multiple wavelengths. Devices and methods for light treatments are disclosed that provide light doses for inducing biological effects on various targeted pathogens and targeted tissues with increased efficacy and reduced cytotoxicity.

The present invention relates to p-amino-benzyl linker compounds that can be used to link a drug moiety to an antibody, to linker-drug compounds in which the p-amino-benzyl linker compound is covalently linked to a drug moiety, and to antibody-drug conjugates in which the p-amino-benzyl linker compound is covalently linked to a drug, wherein the drug is enzymatically cleaved from the conjugate at a specific cell or tissue type targeted by the antibody.

The present invention relates to proteins suitable for being used as scaffolds to which a peptide of interest is bound, or which are comprised within a conjugate to which an agent of interest is attached. It also relates to said conjugates suitable for the selective delivery of their conjugated agents of interest to specific cell and tissue types, wherein said agent 5 can be a therapeutic agent or an imaging agent. It also relates to nanoparticles comprising such conjugates and the therapeutic uses thereof.

This application provides a method, apparatus, and device for identifying target drugs for predetermined tissues, relating to the field of bioinformatics. The method includes: acquiring multiple candidate drugs for a predetermined disease; identifying all target genes for each candidate drug; identifying quantitative trait gene loci (CTTLs) of target gene expression in a predetermined tissue based on all target genes; using these CTTLs as genetic instrumental variables and employing Mendelian randomization analysis, determining the potential causal relationship between the expression of the combined target genes of the candidate drugs in the predetermined tissue and the predetermined disease; and identifying the target drug for the predetermined tissue based on the potential causal relationship. This method can clearly identify the potential tissue type for drug action, effectively identify target drugs for predetermined tissues, improve the targeting of drug therapy, and reduce drug side effects.

A computer-generated, three-dimensional heart model established with an electromechanical aspect and an electrophysiological aspect. The model may include tissue types and associated cell models comprising a system of ordinary differential equations describing properties for that tissue type, at least describing cell kinetics for ion channels of that tissue type. A three-dimensional model of a heart is constructed by creating a volume mesh comprising tissue type regions corresponding to each of the plurality of tissue types, wherein each tissue type region defines a local muscular fibre orientation in each tissue type region to correspond to a local alignment of muscular cells. The method further comprises running coupled three-dimensional electromechanical and electrophysiological simulations across the volume mesh. One or more derived physiological parameters are determined for the virtual patient.

This invention discloses a plasma electrode, an impedance measurement signal injection method, and a tumor edge recognition method, relating to the fields of electrosurgical instruments and biological tissue detection technology. To address the problems of traditional plasma surgery's inability to acquire tissue electrical properties in real-time and in situ, and its difficulty in accurately identifying tumor edges, this invention integrates two pairs of miniature measurement electrodes into the active electrode, with a ceramic-insulated microchannel on the back side; it uses multi-frequency signals superimposed at logarithmic frequency points of 1kHz to 5MHz, and injects them in parallel within 10ms after phase optimization using a genetic algorithm; it extracts the Cole relaxation frequency based on distributed relaxation time, and achieves rapid tumor edge recognition through offline pre-calculation and online processing. This invention achieves deep integration of ablation and sensing, enabling early determination of tissue type and improving the accuracy and safety of tumor resection.

The surgical system includes an ultrasound instrument capable of operating in tissue sensing and tissue resection modes. In tissue resection mode, a first AC drive signal is provided to the ultrasound instrument, inducing vibration in the tip of the instrument used to remove patient tissue. In tissue sensing mode, a second AC drive signal is provided to the ultrasound instrument, inducing vibration in the tip insufficient to remove patient tissue. The frequency corresponding to the target vibration characteristics of the ultrasound instrument is determined based on voltage and current measurements of the second AC drive signal and is used to determine the type of patient tissue contacted by the distal region of the tip. The operation of the surgical system is then controlled based on the determined tissue type.