306 results about "Cancer detection" patented technology

The present invention provides a method for diagnosing cancer, predicting a disease outcome or response to therapy in a patient sample. The method involves isolating a circulating tumor cell (CTC), for example, a viable CTC, from a sample using a parylene microfilter device comprising a membrane filter having or consisting of a parylene substrate, which has an array of holes with a predetermined shape and size; and detecting and quantifying telomerase activity in blood circulating tumor cells. The invention further provides methods of using cells live-captured in various applications.

Provided are methods for the rapid detection of ovarian cancer. The methods employ a multiplex immunoassay to detect levels of two or more of the markers EGF, G-CSF, IL-6, IL-8, CA-125, VEGF, MCP-1, anti-IL6, anti-IL8, anti CA-125, anti-c-myc, anti-p53, anti-CEA, anti-CA 15-3, anti-MUC-1, anti-survivin, anti-bHCG, anti-osteopontin, anti-PDGF, anti-Her2 / neu, anti-Akt1, anti-cytokeratin 19, cytokeratin 19, EGFR, CEA, kallikrein-8, M-CSF, FasL, ErbB2 and Her2 / neu in a sample of the patient's blood, where the presence of abnormal levels of two or more of the markers indicates the presence of ovarian cancer in the patient. An array also is provided to quantitate levels of these markers in a patient's blood. Also provided is a method of predicting onset of clinical ovarian cancer comprising determining the change in concentration over time of two or more of anti-Her2 / neu, anti-MUC-1, anti-c-myc, anti-p53, anti-CA-125, anti-CEA, anti-CA 72-4, anti-PDGFRα, IFNγ, IL-6, IL-10, TNFα, MIP-1α, MIP-1β, EGFR and Her2 / neu in a patient's blood.

The present invention provides the isolation and cloning of WWOX, a novel WW domain-containing protein mapping to human chromosome 16q23.3–24.1, a region frequently affected in several cancers. This gene encodes a tumor suppressor with apoptotic functions. The invention provides WWOX nucleic acid- and polypeptide-based cancer therapies. The invention also provides methods for cancer detection, diagnosis and prognosis involving WWOX nucleic acids and polypeptides.

The invention discloses establishment of a virtual case library of cancer pathological images and a multi-scale cancer detection system based on a convolutional neural network. The system is based ona method of a convolution neural network, a cancer mass region is detected on a pathological full-scan section, and the system includes four modules: 1) a pathological section image preprocessing module; 2) a virtual case database construction module; 3) a high-scale cancer mass detection module; and 4) a small-scale cancer mass classification module. The multi-scale cancer detection system provided by the invention can make full use of the multi-scale information of a pathological image, on different scales, according to the characteristics of the image, different strategies are designed to detect a suspected cancer area, and at the same time, under the condition of insufficient training data, the virtual case library method established by the invention can provide more training data setsfor an existing data-driven deep learning method. The multi-scale cancer detection system based on a convolutional neural network has the characteristics of multi-scale detection, driving of a relatively small amount of data and the like, and has the characteristic of reducing computing resources required for one-time recognition and improving time efficiency of an algorithm on the basis of ensuring the overall recall rate and accuracy.

The present invention utilizes a series of optical and electronic elements to detect and image cancerous and / or pre-cancerous cells in living tissue. The invention further uses the images thus obtained to adaptively and dynamically shape a treatment light beam so as to maximize the beam's intensity in proportion to the areas with the most cancer or pre-cancer and to minimize the irradiation of normal tissue by the beam.

This invention relates to computer-assisted diagnostics and classification of prostate cancer. Specifically, the invention relates to segmentation of the prostate boundary on MRI images, cancer detection using multimodal multi-protocol MR data; and their integration for a computer-aided diagnosis and classification system for prostate cancer.

The present invention provides a new method and device for disease detection, more particularly cancer detection, from the analysis of diffuse reflectance spectra measured in vivo during endoscopic imaging. The measured diffuse reflectance spectra are analyzed using a specially developed light-transport model and numerical method to derive quantitative parameters related to tissue physiology and morphology. The method also corrects the effects of the specular reflection and the varying distance between endoscope tip and tissue surface on the clinical reflectance measurements. The model allows us to obtain the absorption coefficient ([mu]a) and further to derive the tissue micro-vascular blood volume fraction and the tissue blood oxygen saturation parameters. It also allows us to obtain the scattering coefficients ([mu]s and g) and further to derive the tissue micro-particles volume fraction and size distribution parameters.

Differences of electromagnetic (EM) properties between healthy and cancerous tissues allow detection of abnormal conditions occurring in a tissue of an animal, for example, intra-operative cancer detection. By using a time-varying EM field, electrical eddy currents are generated in the tissue sample, and assessed using phase-sensitive detection. In some aspects, a change in phase shift between the voltage in a receiver coil and the voltage in a driver coil provide a direct and immediate indication of differences in EM properties of specimens.

An object of the invention is to find a cancer-associated gene to be used as an index for detecting canceration of cells and degree of malignancy of cancer, so as to to provide a method for detecting cancer using the cancer-associated gene as an index and provide a method of suppressing / treating cancer using the cancer-associated gene as essential part. According to the present invention, specific genes which are amplified or deleted in bile duct cancer as compared with normal cell have been collectively found, and a method for detecting cancer using amplification or deletion of these cancer-associated genes as an index is provided. Further, cancer can be suppressed by introducing a gene which is deleted in cancer cells amond these cancer-associated genes into cancer and inhibiting the transcription product of the gene amplified.