Machine Learning for Environmental Toxicology: A Call for Integration and Innovation.

Abstract

Authors

• Thomas H Miller
  Analytical & Environmental Sciences Division, King's College London, 150 Stamford Street, SE1 9NH London, United Kingdom.
• Matteo D Gallidabino
  Department of Applied Sciences, Northumbria University, Newcastle Upon Tyne NE1 8ST, UK.
• James I MacRae
  Metabolomics Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK.
• Christer Hogstrand
  Division of Diabetes and Nutritional Sciences, Faculty of Life Sciences and Medicine , King's College London , Franklin Wilkins Building, 150 Stamford Street , London SE1 9NH , U.K.
• Nicolas R Bury
  Division of Diabetes and Nutritional Sciences, Faculty of Life Sciences and Medicine, King's College London, Franklin Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; Faculty of Science, Health and Technology, University of Suffolk, James Hehir Building, University Avenue, Ipswich, Suffolk IP3 0FS, UK.
• Leon P Barron
  Analytical & Environmental Sciences Division, King's College London, 150 Stamford Street, SE1 9NH London, United Kingdom. Electronic address: leon.barron@kcl.ac.uk.
• Jason R Snape
  AstraZeneca , Global Environment, Alderley Park , Macclesfield , Cheshire SK10 4TF , U.K.
• Stewart F Owen
  AstraZeneca, Global Environment, Alderley Park, Macclesfield, Cheshire SK10 4TF, UK.

Keywords

External Resources