Use of bioimpedance and machine learning to predict transplant organ viability

这个项目解决了一个具有全球意义的关键健康问题——用于移植的器官短缺。在四十年的大部分时间里，人体器官的供应跟不上需求。尽管循环死亡是最常见的死亡类型，但目前只有一小部分器官在循环死亡（DCD）后从捐赠中取出。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来评估和验证患者组织（器官）的活力和完整性。我们的方法是颠覆性的，并且将：(1)提供高质量的器官摘取；(2)在循环死亡捐赠中扩大“急需”器官池；(3)减少器官丢弃；(4)减少对卫生保健系统的财务影响；(5)改善接受治疗患者的预后；(6)促进一个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.