Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity Relationship Approaches

Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity Relationship Approaches

The escalating use of novel chemicals and nanomaterials (NMs) across diverse sectors underscores the need for advanced risk assessment methods to safeguard human health and the environment. Traditional labor‐intensive approaches have given way to computational methods. This review integrates recent...

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Bibliographic Details
Main Authors: Ajay Vikram Singh, Mansi Varma, Mansi Rai, Shubham Pratap Singh, Girija Bansod, Peter Laux, Andreas Luch
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Advanced Intelligent Systems
Subjects:
chemical QSAR
computational modeling
machine learning
nanodescriptors and cellular toxicity
nano‐QSAR
Online Access:https://doi.org/10.1002/aisy.202300366

Internet

https://doi.org/10.1002/aisy.202300366

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