Using Heuristic Models to Bridge the Gap Between Analytic and Experimental Models in
Biology Page 1 REPRINT 2005 Spring Simulation Multiconference – 1 – © 2005 April 2 - 8 …

We present a method for estimating (predicting) parameter values for an agent-based model
of in silico hepatocytes (ISH). The method enables the ISH to interact with simulated drugs to …

We present the basics of a modeling method, FURM (Functional Unit Representation
Method) that attempts to address a fundamental difference in the practice of biological …

Agent-Based Simulation of In Vitro Hepatic Drug Metabolism: In Silico Hepatic Intrinsic
Clearance Page 1 PREPRINT Paper accepted: 01/07/05 – 1 – 2005 Spring Simulation …

In this thesis a full featured workflow for the implementation of integrated diagnosis and
monitoring systems based on Time Domain Reflectometry (TDR) is proposed. First it is …

We have used a stochastic agent directed, cellular automatabased synthetic method to
instantiate, test, and partially validate simulation models of cultured primary hepatocytes (the …

We present in silico, physiologically-based rat liver models that are designed for large-scale
and high-performance experimentation and analysis. We refer to the framework used as the …

Specialty coffee is a growing industry and there has been an explosion in innovation of
coffee roasting software. In this work, machine learning techniques were employed on a …

Specialty coffee is a growing industry and there has been an explosion in innovation of
coffee roasting software. In this work, machine learning techniques were employed on a …

Multicellular tumor spheroids (MTS) are an in vitro model system of avascular tumors. They
are used to study how local microenvironments affect cellular growth, viability, and …