Open AccessArtificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction
Author(s) -
Singh Ajay Vikram,
Rosenkranz Daniel,
Ansari Mohammad Hasan Dad,
Singh Rishabh,
Kanase Anurag,
Singh Shubham Pratap,
Johnston Blair,
Tentschert Jutta,
Laux Peter,
Luch Andreas
Publication year - 2020
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202070125
Subject(s) - nanotoxicology , artificial intelligence , computer science , machine learning , engineering , nanotechnology , nanoparticle , materials science
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.