Predictive Analytics For Toxicology
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Predictive Analytics For Toxicology
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Author : Luis Gilbert Valerio
language : en
Publisher:
Release Date : 2024-10
Predictive Analytics For Toxicology written by Luis Gilbert Valerio and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10 with Medical categories.
Predictive data science is already in use in many fields, but its application in toxicology is new and sought after by non-animal alternative testing initiatives. Predictive Analytics for Toxicology: Applications in Discovery Science provides a comprehensive overview of the application of predictive analytics in the field of toxicology, highlighting its role and applications in discovery science. This book addresses the challenges of accurately predicting high-level endpoints of toxicity and explores the use of computational and artificial intelligence research to automate predictive toxicology. It underscores the importance of predictive toxicology in proposing and explaining adverse outcomes resulting from human exposures to specific toxicants, especially when experimental and observational data on the toxicant are incomplete or unavailable
Predictive Analytics For Toxicology
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Author : Luis G. Valerio, Jr.
language : en
Publisher: CRC Press
Release Date : 2024-08-13
Predictive Analytics For Toxicology written by Luis G. Valerio, Jr. and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Science categories.
Predictive data science is already in use in many fields, but its application in toxicology is new and sought after by non-animal alternative testing initiatives. Predictive Analytics for Toxicology: Applications in Discovery Science provides a comprehensive overview of the application of predictive analytics in the field of toxicology, highlighting its role and applications in discovery science. This book addresses the challenges of accurately predicting high-level endpoints of toxicity and explores the use of computational and artificial intelligence research to automate predictive toxicology. It underscores the importance of predictive toxicology in proposing and explaining adverse outcomes resulting from human exposures to specific toxicants, especially when experimental and observational data on the toxicant are incomplete or unavailable. Key features: Includes a plain language description of predictive analytics in toxicology adding an overview of the wide range of applications Examines the science of prediction, computational models as an automated science and comprehensive discussions on concepts of machine learning Opens the hood on AI and its applications in toxicology Features coverage on how in silico toxicity predictions are translational science tools The book integrates strategies and practices of predictive toxicology and offers practical information that students and professionals of the toxicology, chemical, and pharmaceutical industries will find essential. It fulfills the expectations of student researchers seeking to learn predictive analytics in toxicology. This book will energize scientists to conduct predictive toxicology modeling using artificial intelligence and machine learning, and inspire students and seasoned scientists interested in automated science to pick up new research using predictive in silico models to evaluate chemical-induced toxicity. With its focus on practical applications and real-world examples, this book serves as a guide for navigating the complex issues and practices of discovery toxicology. It is an essential resource for those interested in computer-based methods in toxicology, providing valuable insights into the use of predictive analytics.
Big Data In Predictive Toxicology
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Author : Daniel Neagu
language : en
Publisher: Royal Society of Chemistry
Release Date : 2019-12-04
Big Data In Predictive Toxicology written by Daniel Neagu and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-04 with Medical categories.
The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.
Applied Predictive Analytics
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Author : Dean Abbott
language : en
Publisher: John Wiley & Sons
Release Date : 2014-03-31
Applied Predictive Analytics written by Dean Abbott and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-31 with Computers categories.
Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
Information Resources In Toxicology Volume 1 Background Resources And Tools
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-05-16
Information Resources In Toxicology Volume 1 Background Resources And Tools written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-16 with Technology & Engineering categories.
This new fifth edition of Information Resources in Toxicology offers a consolidated entry portal for the study, research, and practice of toxicology. Both volumes represents a unique, wide-ranging, curated, international, annotated bibliography, and directory of major resources in toxicology and allied fields such as environmental and occupational health, chemical safety, and risk assessment. The editors and authors are among the leaders of the profession sharing their cumulative wisdom in toxicology's subdisciplines. This edition keeps pace with the digital world in directing and linking readers to relevant websites and other online tools.Due to the increasing size of the hardcopy publication, the current edition has been divided into two volumes to make it easier to handle and consult. Volume 1: Background, Resources, and Tools, arranged in 5 parts, begins with chapters on the science of toxicology, its history, and informatics framework in Part 1. Part 2 continues with chapters organized by more specific subject such as cancer, clinical toxicology, genetic toxicology, etc. The categorization of chapters by resource format, for example, journals and newsletters, technical reports, organizations constitutes Part 3. Part 4 further considers toxicology's presence via the Internet, databases, and software tools. Among the miscellaneous topics in the concluding Part 5 are laws and regulations, professional education, grants and funding, and patents. Volume 2: The Global Arena offers contributed chapters focusing on the toxicology contributions of over 40 countries, followed by a glossary of toxicological terms and an appendix of popular quotations related to the field.The book, offered in both print and electronic formats, is carefully structured, indexed, and cross-referenced to enable users to easily find answers to their questions or serendipitously locate useful knowledge they were not originally aware they needed. Among the many timely topics receiving increased emphasis are disaster preparedness, nanotechnology, -omics, risk assessment, societal implications such as ethics and the precautionary principle, climate change, and children's environmental health. - Introductory chapters provide a backdrop to the science of toxicology, its history, the origin and status of toxicoinformatics, and starting points for identifying resources - Offers an extensive array of chapters organized by subject, each highlighting resources such as journals, databases,organizations, and review articles - Includes chapters with an emphasis on format such as government reports, general interest publications, blogs, and audiovisuals - Explores recent internet trends, web-based databases, and software tools in a section on the online environment - Concludes with a miscellany of special topics such as laws and regulations, chemical hazard communication resources, careers and professional education, K-12 resources, funding, poison control centers, and patents - Paired with Volume Two, which focuses on global resources, this set offers the most comprehensive compendium of print, digital, and organizational resources in the toxicological sciences with over 120 chapters contributions by experts and leaders in the field
Computational Methods In Medicinal Chemistry Pharmacology And Toxicology
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Author : Muhammad Ishfaq
language : en
Publisher: Academic Press
Release Date : 2025-06-13
Computational Methods In Medicinal Chemistry Pharmacology And Toxicology written by Muhammad Ishfaq and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Medical categories.
Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology is a comprehensive resource that offers an advanced overview of computational techniques employed in drug discovery, design, and toxicity prediction. The book discusses various topics, including molecular modeling, virtual screening, machine learning, and network pharmacology. It serves as an essential guide for researchers, practitioners, and students in pharmacology, toxicology, medicinal chemistry, bioinformatics, and systems biology fields, showcasing practical applications and future perspectives on new technologies. In addition to covering computational approaches, the book provides real-world examples of drug discovery, candidate optimization, and safety assessment.Other sections explore computer applications in pharmacology and toxicology and discusses the importance of these methods in advancing medicinal research. - Offers comprehensive coverage of computational methods that are relevant to pharmacology and toxicology, including molecular modeling, virtual screening, machine learning, and network pharmacology - Includes practical examples and case studies that demonstrate how these methods can be applied in drug discovery, design, and toxicity prediction - Discusses emerging trends and future directions in the field of computational pharmacology and toxicology that can help readers stay up-to-date with the latest advances and anticipate future developments
Toxicological Assessment Of Combined Chemicals In The Environment
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Author : De-Sheng Pei
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-05
Toxicological Assessment Of Combined Chemicals In The Environment written by De-Sheng Pei and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Science categories.
Comprehensive resource covering toxicology fundamentals, distribution of pollutants in the environment, and research methodologies for toxicological assessment of chemical mixtures Toxicological Assessment of Combined Chemicals in the Environment offers an in-depth exploration of various approaches and molecular mechanisms regarding how minor alterations in chemical mixtures can influence an organism’s toxicity, along with discussion of the challenges associated with assessing mixtures. The first section of the book provides a concise introduction to the background and significance of combined toxicity. Section two delves into the primary sources and enrichment mechanisms of different chemical mixtures, elucidating the biological exposure pathways of these compounds. Section three introduces both classical and emerging toxicological research models in detail. Building on the descriptions of compound emission, migration, accumulation, and transformation processes, and the analysis of combined molecular toxicity in the preceding sections, section four introduces computer mathematical modeling methods for hazard assessment of compound mixtures. The final section details the challenges and future trends in this field. Written by a highly qualified author and seasoned research contributor in the field, Toxicological Assessment of Combined Chemicals in the Environment covers sample topics including: The degradation, oxidation, absorption, distribution, biotransformation, and excretion of various compounds in both the environment and in organisms A variety of cell models and in vivo research models of model organisms, supplemented with case studies Combined molecular toxicity mechanisms of heavy metals, pesticides, persistent organic pollutants (POPs), and pharmaceutical and personal care products (PPCPs) Principal sources, fate, and mechanism of chemical mixtures in the environment, as well as experimental designs and sampling strategies for combined toxicity studies based on concentrations Toxicological Assessment of Combined Chemicals in the Environment serves as a valuable reference for researchers, students, and policymakers involved in environmental management and protection. It is particularly relevant for toxicologists, risk assessors, and those engaged in the molecular modeling of toxic mixtures.
Environmental Nanotoxicology
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Author : Patrick Omoregie Isibor
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Environmental Nanotoxicology written by Patrick Omoregie Isibor and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Technology & Engineering categories.
Environmental Nanotoxicology: Combatting the Minute Contaminants is a comprehensive guide to the rapidly evolving field of nanotoxicology and its implications for environmental health and safety. This book results from the collaborative efforts of leading experts and researchers from diverse disciplines, aiming to thoroughly understand the interactions between nanomaterials and the environment and their potential impacts on the delicate balance of our ecosystems. Nanotechnology has witnessed remarkable innovations leading to the development of nanomaterials with novel properties and applications across various industries. Alongside these innovations, concerns have arisen about the potential risks that nanomaterials may pose to the environment and living organisms. This book addresses these concerns by comprehensively exploring the field's key concepts, principles, and methodologies. It includes case studies and offers insights into developing appropriate regulatoryframeworks and guidelines for the responsible use and disposal of nanomaterials. The book is a valuable resource for researchers and professionals working in nanotoxicology on the complex challenges posed by the intersection of nanomaterials and the environment. It is also an essential reference for students studying environmental science, toxicology, and nanotechnology.
Machine Learning And Deep Learning In Computational Toxicology
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Author : Huixiao Hong
language : en
Publisher: Springer Nature
Release Date : 2023-03-11
Machine Learning And Deep Learning In Computational Toxicology written by Huixiao Hong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-11 with Medical categories.
This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those machine learning and deep learning algorithms, methods, and software tools and summarise the applications of machine learning and deep learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of machine learning and deep learning in toxicological research that serve as examples for readers to learn how to apply machine learning and deep learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of machine learning and deep learning in toxicological research. It is a useful guide for toxicologists, chemists, drug discovery and development researchers, regulatory scientists, government reviewers, and graduate students. The main benefit for the readers is understanding the widely used machine learning and deep learning techniques and gaining practical procedures for applying machine learning and deep learning in predictive toxicology.
Toxicology
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Author : Kevin Thorley
language : en
Publisher: Dedona Publishing
Release Date :
Toxicology written by Kevin Thorley and has been published by Dedona Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Science categories.
Toxicology is the scientific study of the adverse effects of chemical substances on living organisms. It encompasses a broad range of disciplines, including biology, chemistry, pharmacology, and environmental science, and is essential for understanding the impact of toxins on human health and the environment. The origins of toxicology can be traced back to ancient civilizations, where herbal remedies and poisons were used in medicine and warfare. Over the centuries, this field has evolved significantly, particularly with advancements in analytical techniques and a greater understanding of biological systems. The fundamental principle of toxicology is that the effect of a substance depends not only on its inherent toxicity but also on the dose, duration of exposure, and the route by which it enters the body. This is often summarized by the phrase "the dose makes the poison," attributed to the Swiss physician Paracelsus in the 16th century. Paracelsus emphasized that even substances considered beneficial can be harmful in excessive amounts, highlighting the importance of understanding dosage in toxicological assessments.