The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

Learn how Value at Risk (VaR) predicts possible investment losses and explore three key methods for calculating VaR: ...

With an ultimate goal of patient safety and clinical excellence for all our healthcare learners, the Simulation Core employs various validated simulation methods to ensure realistic learning ...

In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence ...

The first type measures the sensitivities of portfolio value to some particular market variables. Usually, a portfolio’s risk profile can be described by a large number of those sensitivities. The ...

Digital twin (DT) technology is emerging as a core solution for future marine development and intelligent ocean management. The review systematically reviews digital twin applications in the marine ...

Using evidence-based simulation methods, you can provide valuable training about best practices for health professions education, clinical practice, and process improvement. At UAB, we can teach you ...

Flight simulations make a significant contribution to the development and assessment of new aircraft systems. The Institute of Flight Systems uses specialised simulation methods to realistically model ...