Abstract: 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.

Abstract: 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.

Abstract: System 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.

Abstract: A method for repurposing a pharmaceutical compound. The method includes identifying a pharmaceutical compound, the pharmaceutical compound corresponding to a drug that has failed in clinical development or an approved drug. A mathematical model describing the physiological processes related to at least one disease and the effects of the pharmaceutical compound on the disease is created. The model is adjusted based upon information from preclinical or clinical trials. A new treatment protocol is suggested to salvage the failed drug or a new way to use an approved drug. The suggested treatment protocol is displayed. Systems and computer program products encompassing the above techniques are also disclosed.

Abstract: System 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.

Abstract: Neutropenia is the dose-limiting toxicity of the tri-weekly docetaxel (Taxotere®) schedule. Here, we evaluate in Metastatic Breast Cancer (MBC) patients (N=38) a computerized method for predicting docetaxel-induced neutropenia, and use the model to identify improved docetaxel and Granulocyte Colony Stimulating Factor (G-CSF) regimens. Pharmacokinetics/pharmacodynamics (PK/PD) models were created and simulated concomitantly with a mathematical granulopoiesis model. Individual baseline neutrophil counts and docetaxel schedules served as inputs. Our trial validated the model accuracy in predicting nadir timings (r=0.99), grade 3/4 neutropenia (86% success) and neutrophil profiles (r=0.62). Model was robust to CYP3A-induced variability, except for slightly less accurate grade 3/4 neutropenia predictions.

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.

Abstract: A method of performing interactive clinical trials for testing a new drug. A pre-clinical phase is performed 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. An optimal protocol is determined for the most responsive patient populations and indications for a phase II clinical trial. Phase II clinical trial is performed where a number of small scale clinical trials are performed in parallel based on results of the above. Phase III clinical research is performed for chosen indications by chosen protocols. Phase IV studies are performed for post-marketing subpopulation analysis and long term product safety assessment.

Abstract: A method for repurposing a pharmaceutical compound. The method includes identifying a pharmaceutical compound, the pharmaceutical compound corresponding to a drug that has failed in clinical development or an approved drug. A mathematical model describing the physiological processes related to at least one disease and the effects of the pharmaceutical compound on the disease is created. The model is adjusted based upon information from preclinical or clinical trials. A new treatment protocol is suggested to salvage the failed drug or a new way to use an approved drug. The suggested treatment protocol is displayed. Systems and computer program products encompassing the above techniques are also disclosed.

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.

Abstract: A system for modeling thrombopoietic lineage in an individual is presented. The system comprises a thrombopoiesis system model including a process progression model, for cells involved in thrombopoiesis, said progression model including multiplication and differentiation. It further comprises a system model modifier, wherein said thrombopoiesis system model is modified by the system model modifier based on parameters specific to the individual. In addition to modifying an individual's thrombopoietic process, the system can be modified to portray different pathological scenarios as well as different scenarios of response to treatment.

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.