Mathematical Models for Immunology: Current State of the Art and Future Research Directions

作者：Eftimie Raluca; Gillard Joseph J; Cantrell Doreen A

来源：Bulletin of Mathematical Biology, 2016, 78(10): 2091-2134.

DOI：10.1007/s11538-016-0214-9

• Mathematical immunology
• Advances since 2006 and future trends
• Innate and adaptive immunity
• Multiscale interactions

The advances in genetics and biochemistry that have taken place over the last 10 years led to significant advances in experimental and clinical immunology. In turn, this has led to the development of new mathematical models to investigate qualitatively and quantitatively various open questions in immunology. In this study we present a review of some research areas in mathematical immunology that evolved over the last 10 years. To this end, we take a step-by-step approach in discussing a range of models derived to study the dynamics of both the innate and immune responses at the molecular, cellular and tissue scales. To emphasise the use of mathematics in modelling in this area, we also review some of the mathematical tools used to investigate these models. Finally, we discuss some future trends in both experimental immunology and mathematical immunology for the upcoming years.

• 出版日期2016-10