A Primer in Precision Nephrology: Optimizing Outcomes in Kidney Health and Disease through Data-Driven Medicine. Issue 4 (23rd April 2023)

• Record Type: Journal Article
• Authors: Crouse, Andrew; Nadkarni, Girish; Might, Matthew
• Is Part Of: Kidney360. Volume 4:Issue 4(2023)
• Page Start: e544
• Page End: e554
• Publication Date: 2023-04-23
• Subjects: genetics -- artificial intelligence -- data science -- precision medicine -- precision nephrology; 616.61
• DOI: 10.34067/KID.0000000000000089
• Languages: English
• ISSNs: 2641-7650

Abstract

Abstract : This year marks the 63rd anniversary of the International Society of Nephrology, which signaled nephrology's emergence as a modern medical discipline. In this article, we briefly trace the course of nephrology's history to show a clear arc in its evolution—of increasing resolution in nephrological data—an arc that is converging with computational capabilities to enable precision nephrology. In general, precision medicine refers to tailoring treatment to the individual characteristics of patients. For an operational definition, this tailoring takes the form of an optimization, in which treatments are selected to maximize a patient's expected health with respect to all available data. Because modern health data are large and high resolution, this optimization process requires computational intervention, and it must be tuned to the contours of specific medical disciplines. An advantage of this operational definition for precision medicine is that it allows us to better understand what precision medicine means in the context of a specific medical discipline. The goal of this article was to demonstrate how to instantiate this definition of precision medicine for the field of nephrology. Correspondingly, the goal of precision nephrology was to answer two related questions: ( 1 ) How do we optimize kidney health with respect to all available data? and ( 2 ) How do we optimize general health with respect to kidney data?