Virtual tools that can help manufacturers simulate processes on the shop floor are only a valuable if the information being ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Managing the overwhelming numbers of molecular states and interactions is a fundamental obstacle to building predictive models of biological systems. Here we introduce the Network-Free Stochastic ...

A person wears virtual reality goggles to view and manipulate images in the Living Heart Project. (Photo: Courtesy of Dassault Systèmes and the Living Heart Project) Clinical trials can be very ...

Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

Libraries play a crucial role in the entire design verification and implementation flow (DVIF). Specifically for PA design verification and implementation, special design attributes are mandatory in ...

Before a potential customer buys an autonomous mobile robot solution, Locus Robotics often uses different types of simulation to determine the type of robots needed and the number needed to optimize ...

The evolving missions of the Department of Defense (DoD) put heavy and new demands on DoD’s modeling, simulation, and analysis (MS&A) capabilities. Some of the most noteworthy facets of this evolution ...

In this free webinar, gain insight into how model-informed drug development uses early PK/PD data, extrapolation and simulation to enable earlier, regulator-ready pediatric dose selection with fewer ...