Mathematical mobilization of vaccine discovery and development

疫苗的发现和开发涉及科学领域，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。数学建模已被用作合理设计、验证、优先排序、安全评价和经济评价的工具。然而，人们普遍注意到，在整个发现和开发过程中需要更大程度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、敏感和特异性的定量和定性结果，并捕捉疾病和药代动力学/药效学的真实方面，这些方面被公认为具有临床和生物学意义。因此，我们建议举办一次关于“疫苗发现和开发的数学动员”的讲习班，汇集药物发现、药物开发、数学建模和加拿大免疫批准程序方面的专家，以便我们能够努力建立一个更有效的从发现到开发再到实施的系统。我们将确定需要的新数学工具以及数学建模研究可能产生最大影响的地方。车间目标:

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: