Our goal is to accurately predict all types of cardiovascular events in patients utilising nonclinical cardiovascular safety data. In the past two decades, cardiovascular safety science has primarily focused on events associated with the electrocardiogram. Broadening out to other cardiovascular parameters, we share real-life case studies that highlight our progress towards improved and better-informed project progression based upon use of disease models, mechanism-based translation and structure–function relationships. To fulfil this goal, further advances in patient-relevant humanised models will be required to enable cardiovascular safety science to keep pace with the ever-changing landscape of novel therapeutic paradigms.

我们的目标是利用非临床心血管安全数据准确预测患者的所有类型的心血管事件。在过去的二十年中，心血管安全科学主要关注与心电图相关的事件。扩展到其他心血管参数，我们分享了现实生活中的案例研究，这些研究强调了我们在使用疾病模型、基于机制的翻译和结构 - 功能关系的基础上，在改进和更明智的项目进展方面取得的进展。为了实现这一目标，需要在与患者相关的人性化模型方面取得进一步进展，以使心血管安全科学能够跟上不断变化的新型治疗范式。