Several new effective therapies have emerged in the last 5 years for patients with CKD, including sodium-glucose cotransporter 2 inhibitors and the mineralocorticoid receptor antagonist finerenone. Furthermore, many new therapeutic strategies and interventions are in advanced stages of development to further reduce CKD progression. These new therapies were tested in dedicated randomized controlled trials (RCTs), which provide high-level evidence about the efficacy and safety of existing or novel interventions for the population at large. However, these RCTs did not take into account variability in underlying disease mechanism and response among individuals. However, advancements in the application of high-throughput data-intensive analytical and bioinformatic technologies have revealed a large variation in disease pathophysiology, molecular pathways involved in disease progression, and response to treatment. This is illustrated by a recent kidneytranscriptomic biopsy study demonstrating a large heterogeneity in tissue morphological features and molecular signatures that could not be captured with the current classification system for CKD. 1 Because of the substantial heterogeneity in underlying disease pathophysiology and response to treatment, clinical trials recruit a large number of patients and consequently have become complex and increasingly challenging to manage. With the advent of multiple new effective therapies, the average CKD progression rate is decreasing, which will likely lead to even larger trials to maintain sufficient statistical power. Indeed, the aim of a recently announced clinical trial in nephrology was to recruit 11,000 patients. 2 This appears to be unsustainable for the future.New clinical trial designs should therefore be considered that take into account the variation in therapy response according the concept of personalized medicine. This has the potential of smaller and more efficient clinical trials and better patient outcomes. Some early studies in the nephrology area have explored innovative clinical trial designs and have provided important insights to apply personalized medicine approaches in future clinical trials.