Mathematical modelling in developmental biology

生物学和医学的现代观察技术产生了丰富的遗传和分子细节。 数学建模集成和综合这些信息，以提供洞察复杂的生物过程是如何耦合产生实验观察到的行为。数学建模产生实验可检验的预测，可用于验证模型的有效性。该计划致力于促进我们对正常和异常发育过程的了解，特别是在胚胎生长方面。了解这些过程将导致先天性疾病的预测和治疗，并有助于健康的生命开始。

Modern observational techniques in biology and medicine generate a wealth of genetic and molecular detail. Mathematical modelling integrates and synthesises this information to provide insight into how complex biological processes are coupled to produce experimentally observed behaviour. Mathematical modelling generates experimentally testable predictions that can be used to verify the validity of the models. This program is dedicated to exciting opportunities for advancing our knowledge of normal and abnormal developmental processes, especially in embryonic growth. Understanding these processes will lead to prediction and treatment of congenital disorders and contribute to a healthy start to life.