Abstract: A computer-implemented method for determining an optimal treatment protocol for a disease related to angiogenesis, comprising creating an angiogenesis model including pro-angiogenic and anti-angiogenic factors. Effective vessel density (EVD) is incorporated as a factor regulating switching on and switching off of at least one component in the angiogenesis model. Effects of vasculature maturation and mature vessel destabilization are incorporated. Pro-angiogenic and anti-angiogenic factors, which can influence changes in state of a tissue, are selected. Effects of drugs in the pro-angiogenic and anti-angiogenic factors are incorporated. A plurality of treatment protocols in a protocol space is generated. A best treatment protocol based on a pre-determined criteria is selected.
Type:
Grant
Filed:
July 31, 2002
Date of Patent:
August 26, 2008
Assignee:
OPTIMATA
Inventors:
Zvia Agur, Levon Arakelyan, Vladimir Vainstein
Abstract: A method of performing interactive clinical trials for testing a new drug comprising performing a pre-clinical phase in which a computer model for pharmacokinetics and pharmacodynamics of the drug is created and adjusted based on in vitro studies and in vivo studies in animals. A phase I clinical research is performed in which a clinical trial on at least a single dose is performed in parallel with performing computer simulation studies using the computer model. The computer model is adjusted based on comparison of the results of the clinical research and the computer simulation. A maximal tolerated dose, minimum effective dose, and a recommended dose is determined based on the phase I clinical research in conjunction with the computer simulations. The drug is checked for cumulative effects and providing this information to the computer model. Multiple simulations are performed using the computer model with different doses and dosing intervals.
Type:
Application
Filed:
September 16, 2003
Publication date:
June 3, 2004
Applicant:
OPTIMATA
Inventors:
Levon Arakelyan, Vera Selitser, Zvia Agur
Abstract: Systems for recommending an optimal treatment protocol for a specific individual are disclosed. The systems comprise generally a system model, a plurality of treatment protocols, a system model modifier, wherein said system model is modified by the system model modifier based on parameters specific to the individual; and a selector to select an optimal treatment protocol from said plurality of treatment protocols based on the modified system model. Systems embodying the above techniques but for a general patient are also disclosed. Systems for a general patient and an individual for various specific diseases are disclosed. Methods and computer program products embodying the above techniques are also disclosed.