SCIENTIFIC QUESTIONS ON THE BIOLOGICAL EFFECTS OF NANOMATERIALS BASED ON MACHINE LEARNING

HU Xiangang; LI Jiawei; LI Jiaqiang; JIN Hongye; YU Fubo

doi:10.13205/j.hjgc.202206022

Volume 40 Issue 6

Sep. 2022

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2022 > 40(6): 171-181

HU Xiangang, LI Jiawei, LI Jiaqiang, JIN Hongye, YU Fubo. SCIENTIFIC QUESTIONS ON THE BIOLOGICAL EFFECTS OF NANOMATERIALS BASED ON MACHINE LEARNING[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 171-181. doi: 10.13205/j.hjgc.202206022

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HU Xiangang, LI Jiawei, LI Jiaqiang, JIN Hongye, YU Fubo. SCIENTIFIC QUESTIONS ON THE BIOLOGICAL EFFECTS OF NANOMATERIALS BASED ON MACHINE LEARNING[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 171-181. doi: 10.13205/j.hjgc.202206022

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SCIENTIFIC QUESTIONS ON THE BIOLOGICAL EFFECTS OF NANOMATERIALS BASED ON MACHINE LEARNING

doi: 10.13205/j.hjgc.202206022

1. Key Laboratory of Pollution Processes and Environmental Criteria, Ministry of Education, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China;
2. College of Life Sciences, Nankai University, Tianjin 300072, China

Received Date: 2021-12-16
Available Online: 2022-09-01
Publish Date: 2022-09-01

Abstract

Abstract

Nanomaterials (NM),as a new class of chemicals,recognizing and controlling their adverse environmental health risks are important for their applications.In recent years,machine learning (ML),as a data-driven approach,has attracted extensive attention in various fields,such as environment,chemistry,and materials.The review introduces the applications of ML from the aspects of NM-induced cytotoxicity,individual effects,protein corona and ecological corona predictions,and analyzes the problems and solutions during the application process from the aspects of data sets,descriptors,machine learning models,and model interpretability.The review also points out that the innovation and development of data extraction and mining methods,new descriptors,new models,and model interpretation methods will promote the application of ML in the biological effects of NM.With the development of ML,new types of NM and complex effects are expected to be predicted and their principles can be revealed.This review focuses on the discussion on the important scientific issues faced in the prediction of NM biological effects using ML,which will help the following researchers clarify the ideas,solve the problems in this field,and promote the healthy and sustainable development of the nano-industry.
- nanomaterial,
- biological effect,
- machine learning,
- big data,
- artificial intelligence

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References(72)

References

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