Advancements in AI have enabled personalized healthcare by investigating disease origins at the genetic or molecular level, understanding individual drug effects, and integrating multi-modal personal data to uncover new aspects of pathophysiology. Future efforts should focus on addressing equity, fairness, explainability, and generalizability of AI models.
Advancements in AI enable personalizing healthcare, for example by investigating disease origins at the genetic or molecular level, understanding intraindividual drug effects, and fusing multi-modal personal physiological, behavioral, laboratory, and clinical data to uncover new aspects of pathophysiology. Future efforts should address equity, fairness, explainability, and generalizability of AI models.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据
分享论文
