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毒理学监测 2.0 - 人类毒物危害识别和风险评估的现代方法:综述。

Toxicovigilance 2.0 - modern approaches for the hazard identification and risk assessment of toxicants in human beings: A review.

机构信息

Department of Regulatory and Forensic Toxicology, Institute of Medical Expertise, Łódź, ul. Aleksandrowska 67/93, Łódź 91-205, Poland; Toxicological Science Club 'Paracelsus', Institute of Medical Studies, Medical College, Rzeszów University, Al. mjr. W. Kopisto 2a, Rzeszów 35-959, Poland.

Toxicological Science Club 'Paracelsus', Institute of Medical Studies, Medical College, Rzeszów University, Al. mjr. W. Kopisto 2a, Rzeszów 35-959, Poland.

出版信息

Toxicology. 2024 Mar;503:153755. doi: 10.1016/j.tox.2024.153755. Epub 2024 Feb 16.

Abstract

The attempt to define toxicovigilance can be based on defining its fundamental principles: prevention of infections with toxic substances, collecting information on poisonings, both in terms of their sources and side effects, and confirming poisonings, with the aim of improving treatment. Substances referred to include both those originating from animal bites, ingested inadvertently, and those resulting from environmental poisoning in industrial regions of countries, etc. In this review, we provide information about the crucial function of poison control centres in toxicovigilance, the importance of incorporating big data analytics and artificial intelligence to streamline toxicovigilance processes, and examples of toxicovigilance in different countries. In conclusion, we will present the direction that modern toxicovigilance should take, incorporating available artificial intelligence methods to maximise efficiency.

摘要

毒理学监测的定义可以基于以下基本原则

预防感染有毒物质、收集有关中毒的信息,包括中毒源和副作用,并确认中毒,以改善治疗效果。所涉及的物质包括来自动物咬伤、意外摄入的物质,以及国家工业区域环境中毒等。在本综述中,我们提供了有关毒理学监测中心在毒理学监测中的关键作用的信息,介绍了将大数据分析和人工智能纳入其中以简化毒理学监测过程的重要性,以及不同国家的毒理学监测实例。最后,我们将展示现代毒理学监测应采取的方向,纳入现有的人工智能方法以实现效率最大化。

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