Vironix Health and University of Oxford are conducting breakthrough research on using predictive models for early identification of patients who require intensive management of chronic kidney disease (CKD).
While kidney disease is the tenth leading cause of death in the United States, a staggering 90% of people affected do not even know they have it. Approximately 1 in 7 Americans, or over 35 million people are afflicted (according to the Centers for Disease Control).
The gradual decline in kidney function among CKD patients can eventually lead to End Stage Kidney Disease (ESKD), necessitating kidney dialysis and transplants. However, by intervening early in CKD patients, we have the potential to enhance their quality of life by slowing down the progression of the disease and reducing healthcare expenses.
Predictive models offer valuable assistance in identifying patients who require intensive management of CKD, such as higher doses of blood pressure medication, while also providing insights on how to effectively manage and screen outpatients with CKD. This project aims to conduct a comprehensive evaluation of current deep learning (DL) techniques for predicting the severity and progression of CKD, and subsequently develop an innovative state-of-the-art, deep learning architecture that leverages novel features for accurate CKD severity and progression prediction.
Together we can make a difference.