Bridging the gap: using data science to transform care and health outcomes in kidney transplant recipients

尽管与透析相比，肾移植患者的生存率和生活质量有很大提高，但肾移植患者仍会过早死亡，这主要是由于癌症和心血管等并发症。利用大数据科学，我们将能够在慢性免疫抑制的背景下预测这些并发症，找到新的更好的方法来识别高危人群，为这一脆弱人群提供有效和高效的筛查和治疗策略。

Despite substantive survival and quality of life benefits compared to being on dialysis, kidney transplant recipients suffer from premature death, largely due to complications such as cancer and cardiovascular. Using big data science, we will be able to predict these complications in the context of chronic immunosuppression, find new and better ways to identify at risk individuals, to deliver effective and efficient screening and treatment strategies in this vulnerable population.