Big Data in Predictive Toxicology - (ISSN) (Hardcover)
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<p/><br></br><p><b> About the Book </b></p></br></br>This book discusses challenges for big data predictive toxicology and applications of toxicological big data.<p/><br></br><p><b> Book Synopsis </b></p></br></br>The rate and volume of toxicological data generation is continually growing due to novel techniques and software. The amplified pace and capacity of data generation has repercussions for organising and analysing data output. This book discusses these challenges as well as the nature, storage, analysis and interpretation of toxicological big data. It details how these data are applied in toxicity prediction, modelling and risk assessment. This title is relevant for researchers and postgraduates in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology, and safety and hazard assessment.<p/><br></br><p><b> About the Author </b></p></br></br>Daniel Neagu is Professor of Computing with the University of Bradford, where he leads the Artificial Intelligence Research Group. Daniel is Fellow of the Higher Education Academy, and also member of the Institute of Electrical and Electronics Engineers: Computer Society and Computational Intelligence Society, the Association for Computing Machinery and the British Computer Society. Daniel Neagu studies the integration of explicit and implicit knowledge with means of computational intelligence. Daniel Neagu's research on machine learning, data mining, data quality and applications to product safety, predictive toxicology and engineering analytics has been published in more than 100 peer-reviewed conferences and journals, and funded by national and international research councils, organisations and industry.<br>Dr Andrea Richarz holds a diploma and PhD in Chemistry from the Technical University Berlin. She has managed two large international EU research projects in the area of computational toxicology and new approaches for chemical safety assessment, related to REACH chemicals and cosmetics substances, and was also involved in nanosafety project research. As Scientific Officer at the European Commission Joint Research Centre in Ispra, Italy she worked in the area of predictive toxicology, in silico methods and read-across, with special interest in integrated chemical safety assessment approaches as well as combined exposure to chemicals, including uncertainties of and confidence in the approaches in view of their regulatory acceptance. She has recently joined the European Chemicals Agency in Helsinki.
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