The promises and pitfalls of personalized health

Victoria Song explores the complexities of "personalized health" by contrasting the industry's marketing promises with the reality of managing conditions like polyendocrine metabolic ovarian syndrome (PMOS). While tech companies aim to provide tailored insights based on biometric data, current algorithms often rely on generalized norms that do not account for individual metabolic differences, hormonal variations, or chronic health issues. Song argues that true personalization remains elusive, requiring patients to perform substantial manual research and trial-and-error, as current AI and fitness technologies are not yet sophisticated enough to handle the nuances of complex human biology.

(Source：The Verge)