Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction
Ajay Vikram Singh, Daniel Rosenkranz, Mohammad Hasan Dad Ansari, Rishabh Singh, Anurag Kanase, Shubham Singh, Blair D. Johnston, Jutta Tentschert, Peter Laux, Andreas Luch
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.
Topics & Concepts
NanotoxicologyArtificial intelligenceComputer scienceMachine learningEngineeringNanotechnologyNanoparticleMaterials scienceComputational Drug Discovery MethodsCell Image Analysis Techniques