Clinical data science: improving long term kidney transplantation outcomes

Kidney transplantation is increasingly commonly performed to treat end-stage kidney disease. Although transplantation drastically improves the quality of life for patients, kidney transplant recipients experience long-term complications such as diabetes and graft failure. Part I of this thesis explores how lipids and lipoproteins may contribute to these outcomes. In Part II, data science is used to predict these long-term outcomes, and the potential application of blockchain technology in the field of nephrology is examined.