Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction-Reference-Cited by-同舟云学术

Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction

Published:2020-10-07 Issue:12 Volume:2 Page:2000084
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Singh Ajay Vikram¹^ORCID,Rosenkranz Daniel¹,Ansari Mohammad Hasan Dad²³,Singh Rishabh⁴,Kanase Anurag⁵,Singh Shubham Pratap⁶,Johnston Blair¹,Tentschert Jutta¹,Laux Peter¹,Luch Andreas¹

Affiliation:

1. Department of Chemical and Product Safety German Federal Institute for Risk Assessment (BfR) Max-Dohrn-Strasse 8-10 Berlin 10589 Germany

2. The BioRobotics Institute Scuola Superiore Sant'Anna Via Rinaldo Piaggio 34 Pontedera 56025 Italy

3. Department of Excellence in Robotics and AI Scuola Superiore Sant'Anna Via Rinaldo Piaggio 34 Pontedera 56025 Italy

4. Department of Mechanical Engineering Rajarshi Shahu College of Engineering Pune 411033 India

5. Department of Bioengineering Northeastern University Boston MA 02115 USA

6. Faculty of Informatics Otto von Guericke University Magdeburg 39106 Germany

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202000084

Reference162 articles.

1. Chance Discoveries in Real World Decision Making

2. A New Frontier: The Convergence of Nanotechnology, Brain Machine Interfaces, and Artificial Intelligence

3. Soft robotics: a bioinspired evolution in robotics

4. JohnMcCarthy — Father of artificial intelligence

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