Use of bioimpedance and machine learning to predict transplant organ viability

该项目旨在解决一个具有全球意义的关键健康问题-用于移植的器官短缺。在过去四十年的大部分时间里，人体器官的供应跟不上需求的步伐。目前，只有一小部分器官是在循环死亡（DCD）后从捐赠中获得的，尽管这是最常见的死亡类型。据报道，每年有超过60%的心脏和肺必须被丢弃。迫切需要新技术来扩大急需的移植器官库。我们已经确定了一种技术解决方案，以评估和验证患者的组织（器官）活力和完整性。我们的方法是颠覆性的，将：（1）提供高质量的器官获取;（2）扩大循环死亡捐赠中“急需”的器官库;（3）扩大器官库。（3）减少器官丢弃;（4）减少对医疗保健系统的财务影响;（5）提高接受患者的结果;（6）促进每年可以挽救数万人生命的领域的研究。

This project addresses a critical health problem of global significance - the shortage of organs for transplantation. For the better part of four decades, human organ supply has not kept pace with demand.Currently only a small fraction of organs are retrieved from donation after circulatory death (DCD) even though this is the most common type of death. It is quoted that more than 60% of the hearts and lungs must be discarded annually.New technologies are desperately required to expand the much needed pool of transplant organs.We have identified a technology solution to assess and validate a patient's tissue (organ) viability and integrity.Our approach is disruptive and will:(1) afford quality organ harvesting;(2) expand the pool of 'much-needed' organs among donation from circulatory death;(3) reduce organ discard;(4) reduce financial impact upon healthcare systems;(5) enhance outcomes for recipient patients; and(6) facilitate research in an area that can save tens of thousands of lives annually.