暴露的
工程伦理学
危害
数据科学
环境流行病学
因果推理
人类健康
环境伦理学
范式转换
计算机科学
环境资源管理
人类生物学
风险分析(工程)
推论
托换
口译(哲学)
纳米技术
人类疾病
类金刚石
管理科学
协调
环境规划
科学哲学
计算生物学
生物安全
作者
Pablo Gago-Ferrero,Alexandria B. Boehm,Heileen Hsu‐Kim,Xiangdong Li,Martin Gibson,Martine Vrijheid,Bin Wang,Julie Zimmerman
标识
DOI:10.1021/acs.est.6c03080
摘要
The exposome framework promises comprehensive characterization of chemical, physical, and biological exposures shaping human health, yet the measurement capacity now vastly outpaces interpretation and action. Here, we synthesize emerging frontiers that define the translation of exposome science into prevention: moving from "chemical dark matter" in high-resolution mass spectrometry toward functional exposomics; integrating the microbial exposome as both the target and modulator of exposures; deploying AI-enabled causal inference to bridge molecular precision with population-scale patterns; and embedding exposome evidence into proactive interventions, green chemistry, environmental redesign, and environmental justice frameworks. Progress over the next six decades will depend not only on measurement comprehensiveness but also on our capacity to shift from documenting environmental harm to designing healthier environments.
科研通智能强力驱动
Strongly Powered by AbleSci AI