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Cynthia J Adams, 74Gilbert, AZ

Cynthia Adams Phones & Addresses

Gilbert, AZ   

Fremont, CA   

Santa Ana, CA   

San Ramon, CA   

Mission Viejo, CA   

Superior, CO   

Chandler, AZ   

Longmont, CO   

Vernon Rockville, CT   

Dudley, MA   

Quinebaug, CT   

Superior, CO   

Maricopa, AZ   

Fredericksburg, TX   

Mentions for Cynthia J Adams

Career records & work history

Medicine Doctors

Cynthia Adams Photo 1

Cynthia K Adams, Phoenix AZ

Specialties:
Counseling
School Counseling
Address:
5401 S 7Th St, Phoenix, AZ 85040
602-7645048 (Phone)
Languages:
English

Cynthia M. Adams

Specialties:
Internal Medicine
Work:
Purdue University Student Health Center
601 Stadium Mall Dr, West Lafayette, IN 47907
765-4941700 (phone) 765-4961227 (fax)
Languages:
English
Description:
Ms. Adams works in West Lafayette, IN and specializes in Internal Medicine. Ms. Adams is affiliated with Franciscan St Elizabeth Central Health.

Cynthia M. Adams

Specialties:
Orthopaedic Surgery
Work:
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)
Site
Languages:
English, Spanish
Description:
Ms. Adams works in San Diego, CA and specializes in Orthopaedic Surgery.
Cynthia Adams Photo 2

Cynthia K Adams, Phoenix AZ

Specialties:
Psychologist
Address:
5401 S 7Th St, Phoenix, AZ 85040

License Records

Cynthia Adams

Licenses:
License #: 6197-S - Active
Issued Date: Apr 17, 2012
Expiration Date: Apr 30, 2017
Type: Licensed Social Worker

Cynthia Denise Adams

Licenses:
License #: 21014 - Active
Issued Date: May 30, 2001
Renew Date: Dec 1, 2015
Expiration Date: Nov 30, 2017
Type: Certified Public Accountant

Cynthia Louise Adams

Licenses:
License #: 36267 - Active
Category: Nursing
Issued Date: Jan 1, 1981
Effective Date: Jan 1, 1981
Expiration Date: Oct 31, 2018
Type: Registered Nurse

Cynthia Ann Adams

Licenses:
License #: RN26706 - Active
Category: Nursing
Issued Date: Aug 20, 1986
Expiration Date: Mar 1, 2018
Type: Registered Nurse

Publications & IP owners

Wikipedia

Cynthia Adams Photo 30

Cynthia Pickettadams

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 ...

Us Patents

Database System For Predictive Cellular Bioinformatics

US Patent:
6631331, Oct 7, 2003
Filed:
Nov 21, 2000
Appl. No.:
09/718836
Inventors:
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

US Patent:
6651008, Nov 18, 2003
Filed:
Nov 21, 2000
Appl. No.:
09/721154
Inventors:
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

US Patent:
6738716, May 18, 2004
Filed:
Nov 21, 2000
Appl. No.:
09/718766
Inventors:
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

US Patent:
6743576, Jun 1, 2004
Filed:
May 14, 1999
Appl. No.:
09/311890
Inventors:
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

US Patent:
7016787, Mar 21, 2006
Filed:
Feb 20, 2001
Appl. No.:
09/789595
Inventors:
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.

Predicting Hepatotoxicity Using Cell Based Assays

US Patent:
7235353, Jun 26, 2007
Filed:
Jul 18, 2003
Appl. No.:
10/623486
Inventors:
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:
C12Q 3/00
C12Q 1/68
C12Q 1/26
C12Q 1/04
C12N 5/00
US Classification:
435 3, 435 6, 435 25, 435 34, 435 405, 435325, 435370, 435455
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.

Characterizing Biological Stimuli By Response Curves

US Patent:
7657076, Feb 2, 2010
Filed:
Jul 20, 2005
Appl. No.:
11/186143
Inventors:
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.

Predicting Hepatotoxicity Using Cell Based Assays

US Patent:
7817840, Oct 19, 2010
Filed:
Mar 13, 2006
Appl. No.:
11/375541
Inventors:
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.

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