Mark J Durst

US Patent:

20070212678, Sep 13, 2007

Filed:

Apr 22, 2005

Appl. No.:

11/587168

Inventors:

Richard Remmele Jr - Carmarillo CA, US
David Balaban - Camarillo CA, US
Jian Zhang - Simi Valley CA, US
Alexander Shoshitaishvili - Thousand Oaks CA, US
Mark Durst - San Leandro CA, US

Assignee:

AMGEN INC. - Thousand Oaks CA

International Classification:

C12Q 1/00
G06F 19/00

US Classification:

435004000, 702019000

Abstract:

A mechanistic model was developed to extract meaningful thermodynamic and kinetic parameters from an irreversibly denatured process. As a result, methods and computer apparatus have been created that can be used to mathematically determine parameters that are predictive of aggregation kinetics of biologically active materials. Those parameters can then be used to predict stability or aggregation kinetics as a function of time and temperature.

US Patent:

20180330062, Nov 15, 2018

Filed:

Aug 8, 2017

Appl. No.:

15/671310

Inventors:

- Thousand Oaks CA, US
Gilles Gnacadja - Newbury Park CA, US
Mikhail Toupikov - Agoura Hills CA, US
Mark J. Durst - San Leandro CA, US
Darrell L. Lewis-Sandy - Bainbridge Island WA, US

International Classification:

G06F 19/00
G06N 7/00
G06N 7/08

Abstract:

A system, computer-readable medium, and method for developing a treatment strategy for a patient with a medical condition related to an undesirable occurrence in at least one population of in vivo cells. The system, and method include generating one or more proposed treatment strategies to treat the patient's medical condition. A predictive model is utilized to predict a patient's physiological response to events that occur during the treatment strategies. As patient information is measured over time, the predictive model is adapted to more accurately model the patient's expected response.