Institute for Multiscale Thermofluids, School of Engineering, University of Edinburgh, Edinburgh, United Kingdom Inertial microfluidics allows for passive, label-free manipulation of particles ...

Both machine learning and mechanistic modelling approaches have been used independently with great success in systems biology. Machine learning excels in deriving statistical relationships and ...

Abstract: An accurate dynamic model holds critical significance for model based applications such as state estimation, system control, monitoring and optimization. While first principles based dynamic ...

The biopharma industry has been notoriously cautious and slow to adopt new technologies, not least because it is a strictly regulated space and the sector has built up long-standing, well-established ...

1. Understanding Credit Risk Modelling: Gain a comprehensive understanding of the fundamentals of credit risk assessment and discover the pivotal role that machine learning plays in modelling credit ...

Quants are in the business of making helpful assumptions around modelling the characteristics of an asset. But when it comes to interest rates, many of those simplifying conventions tend to break down ...