43 results about "Histologic type" patented technology

To provide a manufacturing system and method for creating multiple tissue constructs from cells.SOLUTION: A system can include a thaw subsystem (if the cells are provided in a frozen state), an expansion subsystem, a concentration subsystem, and a tissue maturation subsystem. Each of these subsystems is modular and can be reconfigured, and a process can be repeated depending on the specific tissue process being implemented. Multiple tissue types can be combined in multiple bioreactors. The activities of multiple bioreactors can be coordinated and controlled in an automated manner by a supervisor controller. The supervisor controller can receive user input at the start of the process, and can manage the process thereafter, alerting the user if user actions are required.SELECTED DRAWING: None

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 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.

The invention provides a puncture visualization method based on ultrasonic imaging, and the method comprises the steps: obtaining a low-frequency ultrasonic image and a real-time ultrasonic image under the ultrasonic frequency of a current stage, and the ultrasonic frequency of each stage comprises the low-frequency ultrasonic frequency and the real-time ultrasonic frequency of the stage; the low-frequency ultrasonic image and the real-time ultrasonic image at the same stage have the same size and pixels are in one-to-one correspondence; determining the position of a needle point based on the real-time ultrasonic image of the current stage, and fusing the real-time ultrasonic image of the current stage with the low-frequency ultrasonic image to obtain a fused ultrasonic image of the current stage; determining the tissue type on the current puncture path based on the fusion ultrasonic image at the current stage; and determining the ultrasonic frequency of the next stage based on the position of the needle tip and the tissue type on the current puncture path. By means of the mode, intelligent control over the puncture process is achieved, the operation burden of doctors is relieved, and the doctors can complete puncture operation more quickly and more accurately.

The invention provides regulatory elements, as well as vectors containing the same that may be used to stimulate transcription of a gene of interest in certain tissue types. The transcription regulatory elements described herein may be operably linked to a transgene, such as acid alpha-glucosidase (GAA), so as to promote expression of the GAA transgene in a cell, such as a muscle cell, liver cell, or neuron. The transcription regulatory elements described herein may be operably linked to a therapeutic transgene and used for the treatment of various disorders, such as lysosomal storage diseases, and particularly Pompe disease.

The computer-implemented method according to the present invention provides two different classifications starting from an ultrasound image i.e. a binary benign / malignant classification and a histotype classification based on a segmentation of morphological parameters. Furthermore, a disambiguation algorithm is performed when the two classifications are inconsistent.

The present application provides a dedicated bipolar nerve monitor for endoscopic thyroidectomy, which relates to the technical field of medical devices. In the functional electrode unit, a radiofrequency output electrode is provided for applying high-frequency current for tissue cutting and coagulation, and a nerve stimulation electrode is provided for applying low-frequency current for nerve stimulation and monitoring. These two electrodes work together. The impedance detection electrode collects the voltage signal after the low-frequency current passes through the tissue, and the impedance modeling unit converts the collected voltage signal to obtain an impedance value. The position positioning module determines the position of the working point between the two extremes. During the operation, the initial impedance value of the working point at the current position is used as the type impedance to judge the tissue type of the working point. As the radiofrequency output electrode cuts the tissue, the impedance value change of the working point at the current position is monitored, and combined with the previously determined tissue type, so as to judge the tissue cutting result. In summary, the safety and overall efficiency of the surgical operation are improved.

A medical device includes: an end effector configured to apply treatment energy for treating a living tissue according to supplied power; a drive source configured to supply the power to the end effector; and a processor configured to classify, in a first time period after a supply of the power to the end effector is started, the living tissue into any one of a plurality of tissue types based on a first parameter detected in the first time period, control an operation of the drive source after the first time period based on the classified tissue type, reclassify the classified living tissue into any one of the plurality of tissue types based on a second parameter detected after the first time period, and control an operation of the drive source based on the tissue type into which the classified living tissue is reclassified.

An implantable electrode system includes a controller device to treat apply electric field therapy (EFT) to a target structure according to specific anatomical properties of the target structure. The system enables selective association of contacts of the implantable electrode system with one or more target locations of varying tissue types within the body for application and measurement of EFT. The one or more target locations are associated with one or more anticipated tissue parameters that the implantable electrode system uses to apply and update waveform parameters to modulate EFT application from each respective contact to the one or more target locations.

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.

Disclosed herein systems, processors, or computer-readable media configured with instructions to: receive transmission and / or reflection images of a tissue of a subject, wherein the images are generated from acoustic signals derived from acoustic waveforms transmitted through the tissue; provide a set of prognostic parameters associated with a user selected region of interest; wherein the set of prognostic parameters comprises sound propagation metrics characterizing sound propagation within a tissue; wherein the set of prognostic parameters corresponds to inputs into a tissue classifier model; wherein the set of prognostic parameters comprises a plurality of subsets of related feature groupings; and determine a type of tissue of the subject based on said plurality of subsets of related feature groupings using the classifier model, wherein the type of tissue is a cancerous tumor, a fibroadenoma, a cyst, a nonspecific benign mass, and an unidentifiable mass.

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.

This invention provides a histologic system and method for rapidly and accurately assessing tumor margins for the presence or absence of tumor using machine learning algorithms. This affords a rapid and accurate histologic tumor readout and increase process efficiency and decreases the chance for human error. Advantageously and uniquely, the system and method allows for analyzing the tissue section as complete or incomplete as the first criteria to determine whether a tissue section is clear of tumor. A machine learning process receives whole slide images (WSI) of tissue and determines (a) if each image of the WSI contains complete / incomplete tissue samples and (b) if each image of the WSI contains tumorous tissue or an absence thereof. A reconstruction process generates a model of the tissue that maps types of tissue therein, and a display process provides results of the model or report for use and manipulation by a user.

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 present invention relates to a tracking system (1) and method for 3D tracking of a medical device comprising at least one ultrasonic sensor within an anatomical region of a subject comprising at least one layer of a first tissue type at least partially surrounding a volume comprising at least one second tissue type, wherein the ultrasonic propagation characteristics in the first and second tissue types are different.

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.

When electrodes are used to apply an electric field in target tissue within an anatomical volume (e.g., applying TTFields to treat a tumor), the position of the electrodes can be optimized by obtaining conductivity measurements in the anatomical volume and generating a 3D map of conductivity directly from the obtained conductivity or resistivity measurements, without dividing the anatomical volume into tissue types. The location of the target tissue is identified within the anatomical volume, and the position for the electrode is determined based on the 3D map of conductivity and the location of the target tissue.

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 discloses a colorectal cancer immunotherapy effect prediction system, wherein the processor in the system calls the executable program code stored in the memory to execute a colorectal cancer treatment effect prediction method, the method comprising: obtaining a biological tissue digital image of a colorectal cancer patient; predicting tissue type parameters and cell type parameters corresponding to the biological tissue digital image based on a classifier algorithm model; determining multiple cell feature parameters corresponding to the biological tissue digital image according to multiple cell feature calculation rules corresponding to the tissue type parameters and the cell type parameters; calculating the treatment effect score corresponding to the colorectal cancer patient according to the multiple cell feature parameters and the preset parameter scoring rules. It can be seen that the present invention can effectively improve the accuracy and efficiency of colorectal cancer treatment effect prediction, reduce prediction costs, and provide an accurate data basis for subsequent treatment or research.

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.

The present invention provides regulatory elements and vectors containing the regulatory elements, which can be used to stimulate the transcription of related genes in certain tissue types. The transcription regulatory elements described herein can be operably linked to a transgene, such as acid α-glucosidase (GAA), to promote the expression of the GAA transgene in cells, such as muscle cells, hepatocytes or neurons. The transcription regulatory elements described herein can be operably linked to a therapeutic transgene and can be used to treat a variety of disorders, such as lysosomal storage diseases, particularly Pompe disease.

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.

An implantable electrode system includes a controller device to treat apply electric field therapy (EFT) to a target structure according to specific anatomical properties of the target structure. The system enables selective association of contacts of the implantable electrode system with one or more target locations of varying tissue types within the body for application and measurement of EFT. The one or more target locations are associated with one or more anticipated tissue parameters that the implantable electrode system uses to apply and update waveform parameters to modulate EFT application from each respective contact to the one or more target locations.

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.