9 results about "Mammary tissue" patented technology

A series of electrodes and a machine learning system are configured to detect changes in biological tissue over time. Specifically, the system may include a wearable device configured to detect changes in tissue response to an electrical signal that may be indicative of cancerous tissue, e.g., breast cancer and / or other types of cancer. The system optionally combines measurements from bioimpedance sensors, miniaturized ultrasound arrays, temperature sensors, and / or printed microwave planar antenna to detect changes in breast tissue composition and vascularity. The system may also be used to detect other physiological states such as menstrual cycles and / or various conditions related to hydration or breathing patterns.

This invention relates to the fields of animal genetics and breeding and biotechnology, and particularly to an overexpression method. Rlim Recombinant adeno-associated virus (AAV) vector, recombinant AAV, and its application in increasing milk production in animals. This invention utilizes a recombinant AAV vector to specifically overexpress a gene in mammary tissue. Rlim This study aims to provide a highly efficient, safe, and targeted approach to enhance lactation performance, thereby filling the technological gap in the application of this gene in lactation regulation and offering novel strategies and pathways for improving livestock production traits and potential interventions for related human health issues.

This invention discloses a predictive diagnostic system for breast cancer based on medical images and digital features. The system collects breast cancer-related physical examination digital features and breast tissue pathology image data. After data preprocessing, it constructs prediction models based on machine learning (such as decision trees, random forests, and support vector machines) and deep learning (such as CNN and Transformer-based network architectures). A soft-voting ensemble learning strategy is then used to fuse the prediction results of each model, thereby achieving early diagnosis of breast cancer. This solution effectively utilizes the advantages of multimodal data and ensures prediction accuracy and robustness through model selection and ensemble, providing auxiliary diagnostic evidence for clinical practice and reducing the risk of misdiagnosis.

A kind of cell composition, including the cell cluster consisting of adipose-derived stem cells, endothelial cells and fibroblasts, as fat tissue regeneration unit.It is proved that the cell cluster composition of the application not only promotes the generation of fat, but also makes the generation of fat and angiogenesis and collagen formation etc.parallel, effectively promote the ability of fat tissue regeneration, while solving the problem of survival rate and insufficient vascularization after ADSCs transplantation.The combination of fat tissue regeneration unit and pGelMA not only solves the problem of vascularized fat tissue regeneration, but also promotes the formation of tissue similar to natural mammary tissue, providing a solution for realizing clinical breast reconstruction.

The present disclosure provides a breast tissue monitoring system and method, and relates to the technical field of intelligent medical treatment. The method comprises: a sensor set in each preset subzone of breast tissue, the sensor set comprising an ultrasonic sensor, a pressure sensor and a temperature sensor, the sensor set being integrated into a wearable device through an integrated carrier; a first processor module for controlling the working state of the system; a second processor module for controlling the sensor set to collect data from the breast tissue and for controlling the excitation output of the ultrasonic sensor, a communication interface being arranged between the first processor module and the second processor module; the first processor module is further used for interacting with other electronic devices, the interaction comprising outputting and / or storing the collected data. The present disclosure integrates different types of sensors into the same wearable device to collect data, thereby helping to improve the accuracy of the monitoring system.

Methods and systems for identifying a region of interest in breast tissue use artificial intelligence to confirm that a target lesion identified during initial imaging the breast tissue has been identified in a subsequent imaging session. A computing system operating a lesion matching engine uses a machine learning classifier algorithm trained on cases of initial and subsequent two-dimensional or three-dimensional images of lesions. The lesion matching engine analyzes a target lesion identified with initial and a potential lesion identified with current imaging to determine a likelihood that the target lesion is the same as the potential lesion. A confidence level indicator for the lesion match is presented on a display of a computing device to aid a healthcare provider in locating a lesion in breast tissue.

In some embodiments an X-ray system comprises a work-station and a mammography apparatus. The mammography apparatus can comprise: a breast positioning area; a diffraction enhanced X-ray imaging apparatus; and a diffractometer for analyzing structure of tissue within a breast. The diffraction enhanced X-ray imaging apparatus and the diffractometer can be configured to move in order to interchangeably align with the breast positioning area. The work-station can be configured to control, and to process data received from, the mammography apparatus. In some embodiments, a method of controlling an X-ray system comprises: performing a diffraction enhanced X-ray imaging measurement of the breast tissue; processing the diffraction enhanced X-ray imaging measurement results using the work-station to determine coordinates of potential cancer sites; performing measurements at the coordinates of the potential cancer sites using the diffractometer; and processing the diffractometer measurement results to perform diagnostics.

Problem: To provide an oral agent capable of maintaining the health of mammary gland tissue.Solution: An agent for maintaining health of mammary gland tissue is characterized by containing GABA as an active ingredient. In addition, the combined use of GABA and equol can enhance the effect of maintaining the health of mammary gland tissue and the effect of preventing early stage breast cancer by inhibiting dysplasia in mammary gland tissue.

This application provides a computer-aided detection and diagnosis system for breast microcalcifications, comprising: an acquisition unit for acquiring at least two breast X-ray images of the same breast tissue from different projection angles as a target view group; a region detection unit for detecting suspected microcalcification candidate regions in each single view to obtain a candidate region set corresponding to each single view; based on the geometric projection relationship between different views in the target view group, performing cross-view pairing and association on candidate regions from different views to establish candidate region pairs characterizing the image appearance of the same potential microcalcification at different projection angles; an extraction module for extracting cross-view consistency features for each candidate region pair; a calculation unit for fusing the cross-view consistency features corresponding to each candidate region pair and its internal image features in each single view to form an enhanced feature vector of the potential microcalcification; and obtaining the benign or malignant classification result of the corresponding potential microcalcification.