Singh Ajay Vikram, Bansod Girija, Mahajan Mihir, Dietrich Paul, Singh Shivam Pratap, Rav Kranti, Thissen Andreas, Bharde Aadya Mandar, Rothenstein Dirk, Kulkarni Shilpa, Bill Joachim
Department of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Straße 8-10, 10589 Berlin, Germany.
Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth (deemed to be) University, Pune 411045, India.
ACS Omega. 2023 Jun 8;8(24):21377-21390. doi: 10.1021/acsomega.3c00596. eCollection 2023 Jun 20.
Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial intelligence (AI), and machine learning enabling better record-keeping, data analysis, and risk assessment. Additionally, computational toxicology and digital risk assessment have led to more accurate predictions of chemical hazards, reducing the burden of laboratory studies. Blockchain technology is emerging as a promising approach to increase transparency, particularly in the management and processing of genomic data related with food safety. Robotics, smart agriculture, and smart food and feedstock offer new opportunities for collecting, analyzing, and evaluating data, while wearable devices can predict toxicity and monitor health-related issues. The review article focuses on the potential of digital technologies to improve risk assessment and public health in the field of toxicology. By examining key topics such as blockchain technology, smoking toxicology, wearable sensors, and food security, this article provides an overview of how digitalization is influencing toxicology. As well as highlighting future directions for research, this article demonstrates how emerging technologies can enhance risk assessment communication and efficiency. The integration of digital technologies has revolutionized toxicology and has great potential for improving risk assessment and promoting public health.
毒理学正在经历一场数字革命，移动应用程序、传感器、人工智能（AI）和机器学习使得更好的记录保存、数据分析和风险评估成为可能。此外，计算毒理学和数字风险评估已带来对化学危害更准确的预测，减轻了实验室研究的负担。区块链技术正成为一种提高透明度的有前景的方法，特别是在与食品安全相关的基因组数据的管理和处理方面。机器人技术、智能农业以及智能食品和原料为数据的收集、分析和评估提供了新机会，而可穿戴设备可以预测毒性并监测与健康相关的问题。这篇综述文章重点关注数字技术在改善毒理学领域风险评估和公共卫生方面的潜力。通过研究区块链技术、吸烟毒理学、可穿戴传感器和食品安全等关键主题，本文概述了数字化如何影响毒理学。除了突出未来的研究方向外，本文还展示了新兴技术如何提高风险评估沟通和效率。数字技术的整合彻底改变了毒理学，在改善风险评估和促进公共卫生方面具有巨大潜力。
