James H. Sabry - San Francisco CA Cynthia L. Adams - Palo Alto CA Eugeni A. Vaisberg - Foster City CA Anne M. Crompton - San Francisco CA
Assignee:
Cytokinetics, Inc. - South San Francisco CA
International Classification:
G01N 3348
US Classification:
702 19, 707 3, 435 6, 318640, 250213
Abstract:
A system for acquiring knowledge from cellular information. The system has a database comprising a database management module (âDBMSâ). The system also has a variety of modules, including a population module coupled to the DBMS for categorizing and storing a plurality of features (e. g. , cell size, distance between cells, cell population, cell type) from an image acquisition device into the database. The system has a translation module coupled to the DBMS for defining a descriptor from a set of selected features from the plurality of features. In a specific embodiment, the descriptor is for a known or unknown compound, e. g. , drug. A prediction module is coupled to the DBMS for selecting one of a plurality of a descriptors from known and unknown compounds from the database based upon a selected descriptor from a selected compound. The selected compound may be one that is useful for treatment of human beings or the like.
Database System Including Computer Code For Predictive Cellular Bioinformatics
Eugeni A. Vaisberg - Foster City CA Cynthia L. Adams - Palo Alto CA James H. Sabry - San Francisco CA Anne M. Crompton - San Francisco CA
Assignee:
Cytokinetics, Inc. - South San Francisco CA
International Classification:
G06F 1900
US Classification:
702 21, 435 4
Abstract:
According to the present invention, computer based techniques for using information technology in therapeutics or drug discovery. In an exemplary embodiment, computer based techniques for determining information about the properties of substances based upon information about structure of living or non-living cells exposed to substances are provided. Computer software according to the present invention enables researchers and/or scientists to identify promising candidates in the search for new and better medicines or treatments using, for example, a cellular informatics database.
Database System For Predictive Cellular Bioinformatics
James H. Sabry - San Francisco CA Cynthia L. Adams - Palo Alto CA Eugeni A. Vaisberg - Foster City CA Anne M. Crompton - San Francisco CA
Assignee:
Cytokinetics, Inc. - South San Francisco CA
International Classification:
G01N 3348
US Classification:
702 19, 707 3, 707 4, 707 6, 435 6
Abstract:
A system for acquiring knowledge from cellular information. The system has a database comprising a database management module (âDBMSâ). The system also has a variety of modules, including a population module coupled to the DBMS for categorizing and storing a plurality of features (e. g. , cell size, distance between cells, cell population, cell type) from an image acquisition device into the database. The system has a translation module coupled to the DBMS for defining a descriptor from a set of selected features from the plurality of features. In a specific embodiment, the descriptor is for a known or unknown compound, e. g. , drug. A prediction module is coupled to the DBMS for selecting one of a plurality of a descriptors from known and unknown compounds from the database based upon a selected descriptor from a selected compound. The selected compound may be one that is useful for treatment of human beings or the like.
Database System For Predictive Cellular Bioinformatics
James H. Sabry - San Francisco CA Cynthia L. Adams - Palo Alto CA Eugeni A. Vaisberg - Foster City CA Anne M. Crompton - San Francisco CA
Assignee:
Cytokinetics, Inc. - South San Francisco CA
International Classification:
C12Q 100
US Classification:
435 4, 422 50, 4352871
Abstract:
A system for acquiring knowledge from cellular information. The system has a database comprising a database management module (âDBMSâ). The system also has a variety of modules, including a population module coupled to the DBMS for categorizing and storing a plurality of features (e. g. , cell size, distance between cells, cell population, cell type) from an image acquisition device into the database. The system has a translation module coupled to the DBMS for defining a descriptor from a set of selected features from the plurality of features. In a specific embodiment, the descriptor is for a known or unknown compound, e. g. , drug. A prediction module is coupled to the DBMS for selecting one of a plurality of a descriptors from known and unknown compounds from the database based upon a selected descriptor from a selected compound. The selected compound may be one that is useful for treatment of human beings or the like.
Characterizing Biological Stimuli By Response Curves
Eugeni A. Vaisberg - Foster City CA, US Donald R. Oestreicher - Cupertino CA, US Cynthia L. Adams - Berkeley CA, US
Assignee:
Cytokinetics, Inc. - So. San Francisco CA
International Classification:
G01N 33/48 G06K 9/00
US Classification:
702 19, 382128, 382133
Abstract:
A method for generating stimulus response curves (e. g. , dose response curves) shows how the phenotype of one or more cells change in response to varying levels of the stimulus. Each “point” on the curve represents quantitative phenotype for cell(s) at a particular level of stimulus (e. g. , dose of a therapeutic). The quantitative phenotypes are multivariate phenotypic representations of the cell(s). They include various features of the cell(s) obtained by image analysis. Such features often include basic parameters obtained from images (e. g. , cell shape, nucleus area, Golgi texture) and/or biological characterizations derived from the basic parameters (e. g. , cell cycle state, mitotic index, etc. ). The stimulus response curves may be compared to allow classification of stimuli and identify subtle differences in related stimuli. To facilitate the comparison, it may be desirable to present the response curves in a principal component space.
Larry C. Mattheakis - Cupertino CA, US Jay Kenneth Trautman - Los Altos CA, US Gregg Peter Solar - San Anselmo CA, US Jinhong Fan - San Mateo CA, US Eugeni Vaisberg - Foster City CA, US Cynthia Lynn Adams - San Carlos CA, US Aibing Rao - Burlingame CA, US
Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e. g. , apoptosis, necrosis, cholestasis, and/or steatosis.
Characterizing Biological Stimuli By Response Curves
Eugeni A. Vaisberg - Foster City CA, US Donald R. Oestreicher - Cupertino CA, US Cynthia L. Adams - Berkeley CA, US
Assignee:
Cytokinetics, Inc. - South San Francisco CA
International Classification:
G06K 9/00 G06K 9/20 G06K 9/36 G06F 19/00
US Classification:
382133, 382282, 382286, 702 19
Abstract:
A method for generating stimulus response curves (e. g. , dose response curves) shows how the phenotype of one or more cells change in response to varying levels of the stimulus. Each “point” on the curve represents quantitative phenotype for cell(s) at a particular level of stimulus (e. g. , dose of a therapeutic). The quantitative phenotypes are multivariate phenotypic representations of the cell(s). They include various features of the cell(s) obtained by image analysis. Such features often include basic parameters obtained from images (e. g. , cell shape, nucleus area, Golgi texture) and/or biological characterizations derived from the basic parameters (e. g. , cell cycle state, mitotic index, etc. ). The stimulus response curves may be compared to allow classification of stimuli and identify subtle differences in related stimuli. To facilitate the comparison, it may be desirable to present the response curves in a principal component space.
Larry C. Mattheakis - Cupertino CA, US Jay Kenneth Trautman - Los Altos CA, US Gregg Peter Solar - San Anselmo CA, US Jinhong Fan - San Mateo CA, US Eugeni Vaisberg - Foster City CA, US Cynthia Lynn Adams - San Carlos CA, US Aibing Rao - Burlingame CA, US
Assignee:
Cytokinetics, Inc. - South San Francisco CA
International Classification:
G06K 9/00 G06K 9/36 G01N 1/30 C12Q 1/44
US Classification:
382133, 435 405, 435 19
Abstract:
Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e. g. , apoptosis, necrosis, cholestasis, and/or steatosis.
Cynthia Pickett-Adams, also known as Cynthia D. Adams (born March 23, 1961) is a former city councilmember for the City of Aliso Viejo, California. First elected ...
Sharp Rees-Stealy Medical GroupSharp Rees Stealy Medical Group Orthopedics 2929 Health Ctr Dr FL 1, San Diego, CA 92123 (858)9396505 (phone), (858)8740715 (fax)
Languages:
English Spanish
Description:
Ms. Adams works in San Diego, CA and specializes in Orthopaedic Surgery.
Name / Title
Company / Classification
Phones & Addresses
Ms. Cynthia Adams
Central Rewards, Inc. Central Rewards. Magazines At Home. Ultimate Savings Plus. Ventri Magazine Sales. Magazine Sales by Mail. Incentive Programs. Entertainment Bureaus. Magazines - Subscription Agents
I am in my mid 50s. Mother of five adult children. Grandmother to seven.
Cynthia Adams
Work:
The New York Times
Education:
Institut d'Etudes Politiques de Paris
Cynthia Adams
About:
I don't feel much urge to post something long here, so if there is something you want to know then you can ask. If you are afraid to ask for whatever reason, then you aren't worth my time anyw...