Collaborative Research Program in Pharmacometrics and Quantitative Systems Pharmacology

在现代，跨学科倡议已被确定为协同研究的关键方式，在现代，遇到的问题和问题的复杂性很少通过竖井努力来解决。此外，由于对资金的巨大需求和报告投资回报的社会压力，无论是在基础科学还是应用科学领域，创新解决方案正越来越多地受到需求的驱动。因此，超越学科之间的界限正成为一种必要，而不是研究人员的一时兴起，特别是在涉及人类健康问题时，特定学科的项目往往缺乏远见和范围。制药领域也不例外，由于剂量-暴露-效应关系的潜在复杂性，以及所涉及的病理生理方面的进一步挑战，研究模型的这种变化也不例外。这一领域历来盛行的经验文化正在逐渐消退，取而代之的是补充或替代的数学和计算工具，以使药物的开发和使用合理化和量化。然而，在定量药理学/药物计量学方面缺乏经验丰富的药物开发科学家，这是该领域所需的多方面的，是其在制药行业应用的主要限制因素。这一合作研究与开发(CRD)计划旨在提供对不可测量或不可测量的临床实体的洞察，反映了药物研发中这种不断变化的性质，并基于坚实的理论基础提供量化方法，支持合理的治疗决策，以改善患者的健康。它建立在药物研发中明确的需求之上，在这些需求中，建立在数学基础上的方法具有重大影响并带来附加值。它包括几个治疗领域，包括神经疾病、肿瘤学和传染病。为了确保对最终用户和社会的可转移性，该研究计划通过开发反映临床需求的计算和移动医疗应用程序，有机地构建了涉及翻译方面的内容。它致力于培训整整一代药物模型师。

Interdisciplinary initiatives have been identified as a crucial way to synergize research in the modern era, where the complexity of encountered problematics and questions can rarely be solved through in silo efforts. Moreover, because of the big demand for funds and the societal pressure for reporting on return on investments, innovative solutions are increasingly being driven by needs, whether in fundamental or applied sciences. Transcending boundaries between disciplines is thus becoming a necessity rather than a researcher's whim, especially when it comes to human health issues, where discipline-specific projects can often lack vision and scope. The pharmaceutical field is no exception to this change in the research model, motivated by the underlying complexity of the dose-exposure-effect relationship, further challenged by the pathophysiological aspects involved. The empirical culture, which historically prevailed in this field, is gradually fading to give more ground to complementary or alternative mathematical and computational tools, to rationalize and quantify drug development and use. However, the shortage for experienced drug development scientists in quantitative pharmacology/pharmacometrics, with the multi-facets that this field asks for, is a main limiting factor for its deployment in the pharmaceutical industry. With the objective to provide insights into unmeasured or unmeasurable clinical entities, this collaborative research and development (CRD) program is in reflection of this ever-changing nature in drug R&D, and bases on solid theoretical foundations to provide quantification methodologies that support rational therapeutic decisions for improvement of patient health. It is built on well- identified needs in drug R&D where mathematically founded approaches have significant impact and bring added-value. It encompasses several therapeutic areas, including neurological conditions, oncology and infectious diseases. To ensure transferability to the end-users and society, this research program is organically structured to involve translational aspects, through development of computational and mobile health applications that reflect clinical needs. It is dedicated to train a whole generation of drug modelers.