Patent application number | Description | Published |
20100113335 | COMPOSITIONS AND METHODS FOR TREATEMENT OF CANCER - The present invention discloses lentogenic viral strains useful in the treatment of cancer. A preferred viral strain of Newcastle disease Virus (NDV) is specifically characterized in terms of biological activities. The present invention further discloses treatment of cancer by application of a clonal NDV strain to tumors. According to an alternative preferred embodiment the use of at least one isolated viral protein or subunit or analog thereof, or an isolated polynucleotide encoding same, is used in the treatment of cancer. | 05-06-2010 |
20100135952 | METHODS FOR THE TREATMENT OF RENAL FAILURE - The present invention relates to methods for treating renal failure. Particularly, the present invention relates to methods for treating renal failure by administering to a subject complexes that include a member of the IL-6 family linked to a soluble receptor of the member of the IL-6 family, or isolated polynucleotides encoding same, the complexes capable of activating a gp130 mediated signaling pathway, thereby treating acute or chronic renal failure. | 06-03-2010 |
20110184220 | METHODS FOR THE TREATMENT OF RADIATION OR CHEMOTHERAPY-INDUCED TISSUE DAMAGE - The present invention relates to methods for preventing or treating toxicities associated with exposure to ionizing radiation or to chemotherapy. Particularly, the present invention relates to methods for preventing or treating toxicities associated with radiation or chemotherapy comprising administering to a subject in need of such treatment polypeptide complexes comprising an IL-6 linked to a soluble IL-6 receptor, the polypeptide complexes capable of preventing or treating toxicities, particularly xerostomia. | 07-28-2011 |
20130245618 | CONTROLLED LASER TREATMENT FOR NON-INVASIVE TISSUE ALTERATION, TREATMENT AND DIAGNOSTICS WITH MINIMAL COLLATERAL DAMAGE - A highly controlled and precise system, device and method for tissue and cellular alteration and treatment below or at surfaces with a laser. The present invention is characterized by ultra low levels of collateral damage as defined by physiologically relevant tests that measure tissue viability. The operation of the present invention is based on spectrally confining the interaction between laser energy and a targeted tissue including an essential element for physiologically relevant tests for monitoring tissue viability. | 09-19-2013 |
Patent application number | Description | Published |
20100202701 | MULTISCALE EDGE DETECTION AND FIBER ENHANCEMENT USING DIFFERENCES OF ORIENTED MEANS - Method, apparatus and computer program product that uses a novel algorithm for edge detection suitable for both natural as well as noisy images. A scale adaptive threshold is used along with a recursive decision process to reveal the significant edges of all lengths and orientations and to localize them accurately even in low-contrast and very noisy images. Further the algorithm is use for fiber detection and enhancement by utilizing stochastic completion-like process from both sides of a fiber. The algorithm relies on an efficient multiscale algorithm for computing all “significantly different” oriented means in an image in 0(N log p), where N is the number of pixels in the image, and p is the length of the longest structure of interest. Experimental results on both natural and noisy images present confirmation of the method, apparatus and computer program product. | 08-12-2010 |
20100260396 | INTEGRATED SEGMENTATION AND CLASSIFICATION APPROACH APPLIED TO MEDICAL APPLICATIONS ANALYSIS - A novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detecting multiple sclerosis lesions in 3D MRI data. The method uses segmentation to obtain a hierarchical decomposition of a multi-channel, anisotropic MRI scan. It then produces a rich set of features describing the segments in terms of intensity, shape, location, and neighborhood relations. These features are then fed into a decision tree-based classifier, trained with data labeled by experts, enabling the detection of lesions in all scales. Unlike common approaches that use voxel-by-voxel analysis, our system can utilize regional properties that are often important for characterizing abnormal brain structures. Experiments show successful detections of lesions in both simulated and real MR images. | 10-14-2010 |