Optimata Ltd.

Institute for Medical Biomathematics

Yuri Kogan

Zvia Agur

Oleg U Kirnasovsky

Vladimir Vainstein

Yuri Kheifetz

Itamar Sela

Lilach Tencer

A computerized system and method for planning a medical treatment for an individual under specific medical condition comprises a data input utility configured for receiving input data, and a data processor. The input data includes first input data comprising medical data of a specific individual, and second input data comprising data indicative of at least one endpoint of treatment. The data processor is configured for utilizing the medical data of the specific individual and the data indicative of the at least one endpoint and processing data indicative of disease progression models, each disease progression model corresponding to a treatment plan comprising one or more predetermined treatment protocols for treating the specific medical condition. The data processor generates output data indicative of a treatment effect on the individual with respect to each of the treatment plans and at least one endpoint to evaluate the treatment plans.

Method and system for prediction of medical treatment effect

A method of determining a therapeutic regimen for the treatment of cancer with Dickkopf (Dkk) protein in which a mathematical model of differential equations describing the major signaling pathways involved in stem cell regulation is created and used to simulate signals from the cancer stem cell environment based upon administration of at least a single dose of Dkk in vitro and/or in vivo. A method of modulating cancer stem cells is also provided in which the stem cell computer model is simulates the effect of Dkk and performs a calibration test to determine a threshold value above which Dkk induces cell differentiation and a threshold value below which Dkk induces stem cell proliferation.

Therapeutic implications of dickkopf affecting cancer stem cell fate

A computer system for recommending an optimal treatment protocol comprising a model of biological processes related to a disease. A treatment protocol generator generates a plurality of treatment protocols for treating a disease using drugs. A selector selects an optimal treatment protocol from the plurality of treatment protocols based on model. The model further comprises a pharmacokinetics macro module adapted to analyze interactions between a ligand and a population of target cells at a tissue level. The model further comprises a pharmacokinetics micro module adapted to analyze interactions between the ligand and a cell at an individual cell level. The pharmacokinetics micro module is adapted to model behavior of the ligand and receptors related to single cell level of ligand-cell interactions, as a stochastic process.

System and method of evaluation of stochastic interactions of a soluble ligand with a target cell population for optimization of drug design and delivery

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Kiriat Ono, Israel

Yuri Kogan