Mathematical mobilization of vaccine discovery and development

疫苗的发现和开发涉及科学领域，这使人们能够更好地了解分子途径、蛋白质等，并开发研究这些成分所需的实验室技术。数学模型已被用作合理设计、验证、优先排序、安全评估和经济评估的工具。然而，人们普遍注意到，在整个发现和开发过程中需要更多地整合数学和计算建模工具，因为这些模型可以提供廉价、实用、敏感和特异的定量和定性结果，并捕捉疾病的真实方面以及被认为具有临床和生物学意义的药代动力学/药效学。因此，我们建议举办“疫苗发现和开发的数学动员”研讨会，将药物发现、药物开发、数学建模和加拿大免疫批准程序的专家聚集在一起，以便我们能够努力实现更有效的从发现到开发再到实施的系统。我们将确定所需的新数学工具，以及数学建模研究可能对哪些领域产生最大影响。研讨会目标：

Vaccine discovery and development involves areas of the sciences, which enable a better understanding of molecular pathways, proteins, etc, and develop laboratory techniques needed to study these components. Mathematical modelling has been used as a tool for rational design, validation, prioritization, safety evaluation, and economical assessment . However, it is generally noted that there is a need for greater integration of mathematical and computational modelling tools in the entire discovery and development process, as these models can provide both quantitative and qualitative results that are cheap, practical, sensitive, and specific, and capture real aspects of the disease and pharmacokinetic/pharmacodynamics that are accepted as clinically and biologically meaningful. We therefore propose to hold a workshop on "Mathematical Mobilization of Vaccine Discovery and Development" to bring together experts in drug discovery, drug development, mathematical modelling, and the Canadian immunization approval process so that we can work towards a more efficient discovery to development to implementation system. We will determine new mathematical tools that will be needed and where mathematical modeling studies may have the most impact. Workshop objectives: