通过使用人工智能集成先进的复苏技术来加强环境和人类健康管理
Mirela Volf1, Ante Vučemilović1, Željko Dobrović2
1The Department of Branch Tactics, Croatian Military Academy "Dr. Franjo Tuđman", 10000 Zagreb, Croatia.
Toxics
|January 8, 2025
概括
这项研究提出了一个人工智能驱动的模型,以快速将生态系统污染与人类健康问题联系起来. 它将环境监测与生物医学数据相结合,以更快,更准确地了解污染影响.
科学领域:
- 环境科学 环境科学
- 毒理学 毒理学 毒理学
- 公共卫生 公共卫生
背景情况:
- 污染被定义为有害污染物或能源,对生态系统和人类健康构成风险.
- 人体是环境污染的一个关键指标.
- 将特定的污染物与人类疾病联系起来是复杂且耗时的.
研究的目的:
- 提出一个全面的模型,以快速准确地了解污染物引起的生理障碍.
- 将生态系统污染数据与人类生物医学数据相结合.
- 通过将模型适应所有生态系统组件来支持保护工作.
主要方法:
- 系统地收集和分析生态系统污染监测数据.
- 整合关于人类生理状况的生物医学数据.
- 利用人工智能 (AI) 工具进行数据分析和决策.
主要成果:
- 拟议的模型促进了环境污染物和人类健康结果之间的更有效的相关性.
- 人工智能能够处理大型数据集,用于污染影响评估中的战略决策.
- 该模型的适应性超越了人类健康,扩展到生态系统组件的保护.
结论:
- 这种由人工智能驱动的综合模型加速了对污染对人类健康的影响的理解.
- 这种方法对于及时识别和减轻与环境污染物相关的健康风险至关重要.
- 该模型的多功能性支持更广泛的生态保护战略.
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