Abstract: A system including a set of software based Explorers, and a computer assisted methodology support the development of new medical interventions for diseases. The system includes Explorer modules for discovering proposed interventions, designing clinical trials, performing pharmacoeconomic analysis, and illustrating disease progression for various patients over time including creating disease progression tutorials for patients. The Explorers support a bottom-up or data driven methodology that enables a user, such as medical researcher, to mine data sources of clinical, biologic, expert or other types of data to discover, test, evaluate, and understand a proposed intervention and its impact on disease progression in different patient types. A Target Discovery Explorer assists the user in identifying leverage points in disease progression in relationship to various patient attributes and interventions, thereby identifying a proposed intervention for the desease.

Abstract: A hierarchical biological modelling system and method provides integrated levels of information synthesized from multiple sources. An executable model of a biological system is developed from information and structures based on the multiple sources. The model is balanced to ensure that it matches the information and structures. Once the model is created and balanced it can be used to provide insight into phenomena at the cellular, or subcellular level, as well as phenomena at the patient, organ and system levels. From this information clinical trials can be emulated, biologic targets for drug development can be identified and subcellular phenomena over time can be observed. The model provides an integrated view of a multi-variable biological system.

Abstract: A hierarchical biological modelling system and method provides integrated levels of information synthesized from multiple sources. An executable model of a biological system is developed from information and structures based on the multiple sources. The model is balanced to ensure that it matches the information and structures. Once the model is created and balanced it can be used to provide insight into phenomena at the cellular, or subcellular level, as well as phenomena at the patient, organ and system levels. From this information clinical trials can be emulated, biologic targets for drug development can be identified and subcellular phenomena over time can be observed. The model provides an integrated view of a multi-variable biological system.