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In Silico Strategies for Cancer Diagnosis and Therapy

Detailed Technology Description

None

*Abstract

BackgroundVarious approaches have been used to construct simulations of complex biologic processes. All these methods have distinct advantages and disadvantages. In vitro biological systems work well in many situations, but require physical facilities and often are not complex enough or accurate enough to effectively model in vivo systems. In silico (computer-simulated) systems are becoming more sophisticated and, as described below, are becoming increasingly able to model biological systems. Two modeling systems are commonly, but not exclusively, utilized to model biological systems: equation-based modeling (EBM), or more specifically ordinary differential equations (ODE), and agent-based modeling (ABM). TechnologyThis invention comprises an agent-based computer simulation of the progression of hepatocellular carcinoma. It includes systems and methods of modeling hepatic inflammation, fibrosis and cancer. The systems and methods are useful for determining independent patient prognoses, as well as for drug development and testing and integrated digital pathology.

*Principal Investigator

Name: Joyeeta Dutta Moscato

Department: Med-Biomedical Informatics

Name: Liang-I Kang

Department: Med-Pathology

Name: Qi Mi

Department: SHRS-Sports Medicine and Nutrition

Name: Kari Nejak-Bowen

Department: Med-Pathology

Name: Yoram Vodovotz, Associate Professor of Surgery

Department: Med-Surgery

Country/Region

USA