Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction
Year: 2020
Type: article
Abstract: Computational Nanotoxicology Machine learning tools are making great strides in advancing computational nanotoxicology via in-silico modeling and ab-initio simulations to understand the nano-bio interactions from environmental and health safety perspectives. In article number 2000084, Ajay Vikram Singh and co-workers describe the potential, reality, challenges, and future advances that artifi cial intelligence (AI) and machine learning (ML) present in advanced material design and toxicity predictions.
Source: Advanced Intelligent Systems
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,750
OpenAlex ID: W4238510752