Sarah R Cross

US Patent:

20110070604, Mar 24, 2011

Filed:

Dec 1, 2008

Appl. No.:

12/993826

Inventors:

James K. Gimzewski - Topanga CA, US
Sarah E. Cross - El Granada CA, US
Yusheng Jin - North Hills CA, US
Jianyu Rao - Culver City CA, US

Assignee:

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - OAKLAND CA

International Classification:

C12Q 1/02
C12M 1/34
B82Y 15/00
B82Y 5/00

US Classification:

435 29, 4352887, 977732, 977904

Abstract:

Described herein is the analysis of nanomechanical characteristics of cells. In particular, changes in certain local nanomechanical characteristics of ex vivo human cells can correlate with presence of a human disease, such as cancer, as well as a particular stage of progression of the disease. Also, for human patients that are administered with a therapeutic agent, changes in local nanomechanical characteristics of ex vivo cells collected from the patients can correlate with effectiveness of the therapeutic agent in terms of impeding or reversing progression of the disease. By exploiting this correlation, systems and related methods can be advantageously implemented for disease state detection and therapeutic agent selection and monitoring.

US Patent:

20140123347, May 1, 2014

Filed:

Jan 3, 2014

Appl. No.:

14/146961

Inventors:

- Oakland CA, US
Sarah E. Cross - El Granada CA, US
Yusheng Jin - North Hills CA, US
Jianyu Rao - Culver City CA, US

Assignee:

The Regents of the University of California - Oakland CA

International Classification:

G01Q 30/02
G01Q 20/00
B82Y 15/00

US Classification:

850 5, 850 9, 977920

Abstract:

Described herein is the analysis of nanomechanical characteristics of cells. In particular, changes in certain local nanomechanical characteristics of ex vivo human cells can correlate with presence of a human disease, such as cancer, as well as a particular stage of progression of the disease. Also, for human patients that are administered with a therapeutic agent, changes in local nanomechanical characteristics of ex vivo cells collected from the patients can correlate with effectiveness of the therapeutic agent in terms of impeding or reversing progression of the disease. By exploiting this correlation, systems and related methods can be advantageously implemented for disease state detection and therapeutic agent selection and monitoring.