Artificial intelligence-guided precision treatment of chronic kidney disease-mineral bone disorder.

ABSTRACT: Chronic kidney disease (CKD)-mineral bone disorder (MBD) is a complex clinical syndrome that begins early during CKD and evolves into one of the deadliest complications of CKD through its effects on the cardiovascular and skeletal systems. Achievement of treatment goals to decrease the risk of accelerated cardiovascular events and fractures has been challenging. We hypothesized that application of quantitative systems pharmacology (QSP) modeling combined with artificial intelligence techniques could improve the management of CKD-MBD with the goal of improving outcomes for patients with CKD. We present the implementation of a reinforcement learning (RL) approach to achieve the prescribed goals for serum calcium, phosphorus, and parathyroid hormone through concurrent dosing of phosphate bind

SUBMITTER: Gaweda AE 

PROVIDER: S-EPMC9574726 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature