Chroma Graphics, Inc.

Chroma Energy, Inc.

Vicus Therapeutics, LLC

Fredric S Young

Dennis M Johnson

Robert Wentland

Peter Whitehead

Jawad Mokhtar

Bradley C Wallet

John Maki

Newell Bascomb

In alternative embodiments, provided are therapeutic combinations, pharmaceutical compositions, formulations, kits and devices for treating, preventing or ameliorating a tumor or a cancer, and methods and uses for treating, preventing or ameliorating a tumor or a cancer. In alternative embodiments, provided are therapeutic combinations, pharmaceutical compositions, formulations, kits and devices comprising: a beta adrenergic receptor antagonist (a 'beta blocker') such as propranolol; a non-steroidal anti-inflammatory drug (a NSAID) such as etodolac; and, a sorafenib or NEXAVAR&#x2122; or equivalent thereof. In alternative embodiments, the therapeutic combinations further comprise an anti-cancer or anti-tumor antibody, a cytokine, and/or an additional chemotherapeutic agent. In alternative embodiments, the methods, uses, therapeutic combinations, pharmaceutical compositions, formulations, kits and devices are used for treating, preventing or ameliorating a hepatocarcinoma or hepatocellular carcinoma (HCC), an adenocarcinoma, a metastatic adenocarcinoma of the liver, or an advanced hepatocellular carcinoma.

Combination drug therapies for cancer and methods of making and using them

An apparatus and method for analyzing known data, storing the known data in a pattern database ('PDB') as a template is provided. Additional methods are provided for comparing new data against the templates in the PDB. The data is stored in such a way as to facilitate the visual recognition of desired patterns or indicia indicating the presence of a desired or undesired feature within the new data. The apparatus and method is applicable to a variety of applications where large amounts of information are generated, and/or if the data exhibits fractal or chaotic attributes.

Pattern recognition applied to oil exploration and production

In an analysis of a set of discrete multidimensional data which can be represented in an array with a topology, where the array that can be mapped to an image space of discrete elements, such as digitized image data, seismic data and audio data, genotype/phenotype classifications are imposed on the topology, and then molecular biological-like processes (annealing, fragmentation, chromatographic separation, fingerprinting, footprinting and filtering) are imposed upon that topology to perceive classifiable regions such as edges. More specifically, an image feature probe constructed of strings of contiguous image fragments of the class of N-grams called linear N-grams, anneals genotypes of topological features by complementary biological-like techniques in the same manner that complex biological systems are analyzed by genetic mapping, sequencing and cloning techniques. For example, molecular biological probes anneal with molecular biological genotypes and then are used to classify those genotypes. More specifically, an image feature probe constructed of strings of contiguous pixels, of the class of N-grams called linear N-grams, mates genotypes of topological features by complementary biological-like techniques in the same manner that molecular biological probes mate with molecular biological genotypes. The topological genotypes are by definition orthogonal elements to edges. Techniques are disclosed for defining the feature probes.

Method and apparatus for biomathematical pattern recognition

Methods are provided for carrying out a selection step and a blending step of a process of photorealistically reconstructing and manipulating a portion of a photograph or digital image, such as a segment or a layer, in order to minimize transition discontinuities and to provide optimum speed in the segmenting of the image, which is a function of increasing importance in a production environment. In the selection step, an image is classified into foreground and background states and regions, which could be limited to a selected layer of a final image. A vector is constructed which maps separation distances in a specialty space such as HSV space between the background region in a background state and the foreground region in a new foreground state. Difference vectors between the old and new foreground states are used to facilitate the mapping via a transition path which occupies the portion of specialty space where all the edge pixels between the foreground and the background parameters are located. An object in a portion of an image which has been manipulated is blended back into the photograph or image in a natural way using the transition vector. In addition, methods for carrying out the manipulating step of this process involve a variable vector quantization step to reduce the number of parameter elements in an image.

Method for general image manipulation and composition

A color palette mapped to an image obtained by any known process is decomposed to separate contrast components from hue/saturation pairs, then only the hue/saturation pairs are remapped to a new set of hue/saturation parameters according to available mapping techniques, including remapping of ordered color sets, into a new ordered set wherein at least a portion of the contrast components are held at fixed values and not altered. By fixing the contrast components, color remapping is constrained to certain symmetric transformations in Munsell color space which preserves features of the source image in the resultant image.

Method and apparatus for ordering and remapping colors in images of real

Colors for a two-dimensional ordered image such as a fractal map are selected by first sampling colors from a real or natural source of colors, such as a tree or a feather and storing values representing the colors in Munsell color space (the three-dimensional space defined by hue, saturation and value) in a source color file, then ordering colors by distance in Munsell color space from a seed reference color (e.g. black), thereafter storing a representation of the color whose distance is closest to the seed reference color as the first color in a storage file known as an ordered color file, using the first color as a new reference color, then sorting the remaining colors according to distance from the new reference color, and storing a representation of the color closest to the new reference color as the second color in the ordered color file. The process is recursively performed until all colors in the source color file have been ordered in the ordered color file. The ordered color file can be mapped into any ordered set, such as a fractal set which is naturally ordered, by assigning the colors of the ordered color file according to the fractal value representing the higher dimension of the fractal set. Colors lost in the color sampling process can be recovered by interpolation between discrete values in the ordered color set. Interpolation is an effective form of data compression of colors.

Growing community of inventors

Los Altos, CA, United States of America

Fredric S Young