Julio Vera, Christopher Lischer
In most disciplines of natural sciences and engineering, mathematical and computational modelling are mainstay methods which are usefulness beyond doubt. These disciplines would not have reached today’s level of sophistication without an intensive use of mathematical and computational models together with quantitative data. This approach has not been followed in much of molecular biology and biomedicine, however, where qualitative descriptions are accepted as a satisfactory replacement for mathematical rigor and the use of computational models is seen by many as a fringe practice rather than as a powerful scientific method. This position disregards mathematical thinking as having contributed key discoveries in biology for more than a century, e.g., in the connection between genes, inheritance, and evolution or in the mechanisms underlying cellular functions.
@article{896c5a09-1785-4cec-8fc2-fb68ce35785f,
title={Mathematical Modelling in Biomedicine: A Primer for the Curious and the Skeptic},
author={Julio Vera and Christopher Lischer},
year={2021},
language={English}
}TY - JOUR TI - Mathematical Modelling in Biomedicine: A Primer for the Curious and the Skeptic AU - Julio Vera AU - Christopher Lischer PY - 2021 LA - English ER -
Alfredo Alan Flores Saldívar, Rodrigo Juárez Martínez
The design of an aluminium melting furnace has faced two challenges: mathematical modelling and simulative optimization. This paper first uses fluid d
Antreas Kantaros, Theodore Ganetsos
Against the background of the unprecedented advancements related to Industry 4.0 and beyond, transitioning from classical mathematical models to fully
Yichao Hu, Yinxuan Qiu
Introducing CO2 electrochemical conversion technology to the iron-making blast furnace not only reduces CO2 emissions, but also produces H2 as a bypro
Shereen Abouelazayem, Ivan Glavinić
The flow structure in the mold of a continuous steel caster has a significant impact on the quality of the final product. Conventional sensors used in
Jian Yang, Zhenping Ji
A digital-twin-model-based optimal control system is presented for the steel continuous casting process. The system is designed for the coordinated op
Silvia Cecchel, Giovanna Cornacchia
The automotive industry is undergoing a rapid evolution to meet today’s challenges; therefore, continuous innovation and product development are neede