Predictive Analytics For Toxicology

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Predictive Analytics for Toxicology

Luis G. Valerio, Jr.
Predictive Analytics for Toxicology Book PDF

Author : Luis G. Valerio, Jr.
Publisher : CRC Press
Page : 253 pages
File Size : 42,6 Mb
Release : 2024-08-13
Category : Science
ISBN : 9781040101834

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Predictive Analytics for Toxicology by Luis G. Valerio, Jr. Pdf

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.

Predictive Analytics for Toxicology

Luis Gilbert Valerio Jr
Predictive Analytics for Toxicology Book PDF

Author : Luis Gilbert Valerio Jr
Publisher : CRC Press
Page : 0 pages
File Size : 46,8 Mb
Release : 2024-08-13
Category : Medical
ISBN : 0367775549

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Predictive Analytics for Toxicology by Luis Gilbert Valerio Jr Pdf

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.

Predictive Toxicology

Friedlieb Pfannkuch,Laura Suter-Dick
Predictive Toxicology Book PDF

Author : Friedlieb Pfannkuch,Laura Suter-Dick
Publisher : John Wiley & Sons
Page : 430 pages
File Size : 46,5 Mb
Release : 2015-01-20
Category : Medical
ISBN : 9783527336081

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Predictive Toxicology by Friedlieb Pfannkuch,Laura Suter-Dick Pdf

Tailored to the needs of scientists developing drugs, chemicals, cosmetics and other products this one-stop reference for medicinal chemists covers all the latest developments in the field of predictive toxicology and its applications in safety assessment. With a keen emphasis on novel approaches, the topics have been tackled by selected expert scientists, who are familiar with the theoretical scientific background as well as with the practical application of current methods. Emerging technologies in toxicity assessment are introduced and evaluated in terms of their predictive power, with separate sections on computer predictions and simulation methods, novel in vitro systems including those employing stem cells, toxicogenomics and novel biomarkers. In each case, the most promising methods are discussed and compared to classical in vitro and in vivo toxicology assays. Finally, an outlook section discusses such forward-looking topics as immunotoxicology assessment and novel regulatory requirements. With its wealth of methodological knowledge and its critical evaluation of modern approaches, this is a valuable guide for toxicologists working in pharmaceutical development, as well as in safety assessment and the regulation of drugs and chemicals.

Big Data in Predictive Toxicology

Daniel Neagu,Andrea-Nicole Richarz
Big Data in Predictive Toxicology Book PDF

Author : Daniel Neagu,Andrea-Nicole Richarz
Publisher : Royal Society of Chemistry
Page : 289 pages
File Size : 40,6 Mb
Release : 2019-12-04
Category : Medical
ISBN : 9781839160820

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Big Data in Predictive Toxicology by Daniel Neagu,Andrea-Nicole Richarz Pdf

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

Dean Abbott
Applied Predictive Analytics Book PDF

Author : Dean Abbott
Publisher : John Wiley & Sons
Page : 456 pages
File Size : 52,9 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781118727690

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Applied Predictive Analytics by Dean Abbott Pdf

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

Steve Gilbert,Asish Mohapatra,Sol Bobst,Antoinette Hayes,Sara T. Humes
Information Resources in Toxicology Volume 1 Background Resources and Tools Book PDF

Author : Steve Gilbert,Asish Mohapatra,Sol Bobst,Antoinette Hayes,Sara T. Humes
Publisher : Academic Press
Page : 1055 pages
File Size : 52,9 Mb
Release : 2020-05-16
Category : Medical
ISBN : 9780128137253

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Information Resources in Toxicology, Volume 1: Background, Resources, and Tools by Steve Gilbert,Asish Mohapatra,Sol Bobst,Antoinette Hayes,Sara T. Humes Pdf

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

Predictive Toxicology

Christoph Helma
Predictive Toxicology Book PDF

Author : Christoph Helma
Publisher : CRC Press
Page : 522 pages
File Size : 48,5 Mb
Release : 2005-03-17
Category : Medical
ISBN : 9780849350351

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Predictive Toxicology by Christoph Helma Pdf

A comprehensive overview of techniques and systems currently utilized in predictive toxicology, this reference presents an in-depth survey of strategies, algorithms, and prediction methods to select, calculate, and represent the features and properties of chemical structures in biological systems. It provides sources of high-quality toxicity data, the most important commercial and noncommercial predictive toxicology programs, and advanced technologies in computational chemistry, biology, statistics, and data mining. Predictive Toxicology explores applications that go beyond classical structure-activity relationships and discusses programs such as OncoLogic, META, MC4PC, PASS, and lazar.

Statistics in Toxicology Using R

Ludwig A. Hothorn
Statistics in Toxicology Using R Book PDF

Author : Ludwig A. Hothorn
Publisher : CRC Press
Page : 294 pages
File Size : 53,7 Mb
Release : 2016-01-13
Category : Mathematics
ISBN : 9781498786751

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Statistics in Toxicology Using R by Ludwig A. Hothorn Pdf

The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in Toxicology Using R explains the statistical analysi

Applications of Toxicogenomic Technologies to Predictive Toxicology and Risk Assessment

National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Board on Environmental Studies and Toxicology,Committee on Applications of Toxicogenomic Technologies to Predictive Toxicology
Applications of Toxicogenomic Technologies to Predictive Toxicology and Risk Assessment Book PDF

Author : National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Board on Environmental Studies and Toxicology,Committee on Applications of Toxicogenomic Technologies to Predictive Toxicology
Publisher : National Academies Press
Page : 300 pages
File Size : 40,9 Mb
Release : 2007-11-19
Category : Science
ISBN : 9780309178891

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Applications of Toxicogenomic Technologies to Predictive Toxicology and Risk Assessment by National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Board on Environmental Studies and Toxicology,Committee on Applications of Toxicogenomic Technologies to Predictive Toxicology Pdf

The new field of toxicogenomics presents a potentially powerful set of tools to better understand the health effects of exposures to toxicants in the environment. At the request of the National Institute of Environmental Health Sciences, the National Research Council assembled a committee to identify the benefits of toxicogenomics, the challenges to achieving them, and potential approaches to overcoming such challenges. The report concludes that realizing the potential of toxicogenomics to improve public health decisions will require a concerted effort to generate data, make use of existing data, and study data in new waysâ€"an effort requiring funding, interagency coordination, and data management strategies.

Environmental Nanotoxicology

Patrick Omoregie Isibor,Geetha Devi,Alex Ajeh Enuneku
Environmental Nanotoxicology Book PDF

Author : Patrick Omoregie Isibor,Geetha Devi,Alex Ajeh Enuneku
Publisher : Springer Nature
Page : 358 pages
File Size : 41,8 Mb
Release : 2024
Category : Electronic books
ISBN : 9783031541544

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Environmental Nanotoxicology by Patrick Omoregie Isibor,Geetha Devi,Alex Ajeh Enuneku Pdf

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 regulatory frameworks 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. Addresses risk assessment and management in nanotoxicology; Explores the life cycle assessment of nanoparticles; Sheds light on emerging technologies and future directions in environmental nanotoxicology. .

Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition

Shayne C. Gad
Statistics and Experimental Design for Toxicologists and Pharmacologists Fourth Edition Book PDF

Author : Shayne C. Gad
Publisher : CRC Press
Page : 600 pages
File Size : 50,5 Mb
Release : 2005-07-18
Category : Medical
ISBN : 0849322146

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Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition by Shayne C. Gad Pdf

Purposefully designed as a resource for practicing and student toxicologists, Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition equips you for the regular statistical analysis of experimental data. Starting with the assumption of basic mathematical skills and knowledge, the author supplies a complete and systematic yet practical introduction to the statistical methodologists available for, and used in, the discipline. For every technique presented, a worked example from toxicology is also presented. See what's new in the Fourth Edition: The first practical guide to performing meta analysis allowing for using the power inherent in multiple similar studies Coverage of Bayesian analysis and data analysis in pharmacology and toxicology Almost 200 problems with solutions Discussion of analysis of receptor binding assays, safety pharmacology assays and other standard types conducted in pharmacology A new chapter explaining the basics of Good Laboratory Practices (GLPs) For those with computer skills, this edition has been enhanced with the addition of basic SAS Written specifically for toxicologists and pharmacologists, the author draws on more than 30 years of experience to provide understanding of the philosophical underpinnings for the overall structure of analysis. The book's organization fosters the ordered development of skills and yet still facilitates ease of access to information as needed. This Fourth Edition gives you the tools necessary to perform rigorous and critical analysis of experimental data and the insight to know when to use them.

Machine Learning and Deep Learning in Computational Toxicology

Huixiao Hong
Machine Learning and Deep Learning in Computational Toxicology Book PDF

Author : Huixiao Hong
Publisher : Springer Nature
Page : 654 pages
File Size : 44,5 Mb
Release : 2023-03-11
Category : Medical
ISBN : 9783031207303

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Machine Learning and Deep Learning in Computational Toxicology by Huixiao Hong Pdf

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.

Drug Discovery Toxicology

Yvonne Will,J. Eric McDuffie,Andrew J. Olaharski,Brandon D. Jeffy
Drug Discovery Toxicology Book PDF

Author : Yvonne Will,J. Eric McDuffie,Andrew J. Olaharski,Brandon D. Jeffy
Publisher : John Wiley & Sons
Page : 598 pages
File Size : 53,9 Mb
Release : 2016-04-18
Category : Medical
ISBN : 9781119053330

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Drug Discovery Toxicology by Yvonne Will,J. Eric McDuffie,Andrew J. Olaharski,Brandon D. Jeffy Pdf

As a guide for pharmaceutical professionals to the issues and practices of drug discovery toxicology, this book integrates and reviews the strategy and application of tools and methods at each step of the drug discovery process. • Guides researchers as to what drug safety experiments are both practical and useful • Covers a variety of key topics – safety lead optimization, in vitro-in vivo translation, organ toxicology, ADME, animal models, biomarkers, and –omics tools • Describes what experiments are possible and useful and offers a view into the future, indicating key areas to watch for new predictive methods • Features contributions from firsthand industry experience, giving readers insight into the strategy and execution of predictive toxicology practices

Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment

Roy, Kunal
Quantitative Structure Activity Relationships in Drug Design Predictive Toxicology and Risk Assessment Book PDF

Author : Roy, Kunal
Publisher : IGI Global
Page : 727 pages
File Size : 41,9 Mb
Release : 2015-02-28
Category : Technology & Engineering
ISBN : 9781466681378

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Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment by Roy, Kunal Pdf

Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.

Predicting Chemical Toxicity and Fate

Mark T.D. Cronin
Predicting Chemical Toxicity and Fate Book PDF

Author : Mark T.D. Cronin
Publisher : CRC Press
Page : 474 pages
File Size : 47,5 Mb
Release : 2004-05-10
Category : Science
ISBN : 0203642627

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Predicting Chemical Toxicity and Fate by Mark T.D. Cronin Pdf

Quantitative Structure-Activity Relationships (QSARs) are increasingly used to predict the harmful effects of chemicals to humans and the environment. The increased use of these methods in a variety of areas (academic, industrial, regulatory) results from a realization that very little toxicological or fate data is available on the vast amount of chemicals to which humans and the environment are exposed. Predicting Chemical Toxicity and Fate provides a comprehensive explanation of the state-of-the-art methods that are available to predict the effects of chemicals on humans and the environment. It describes the use of predictive methods to estimate the physiochemical properties, biological activities, and fate of chemicals. The methods described may be used to predict the properties of drugs before their development, and to predict the environmental effects of chemicals. These methods also reduce the cost of product development and the need for animal testing. This book fills an obvious need by providing a comprehensive explanation of these prediction methods. It is a practical book that illustrates the use of these techniques in real life scenarios. This book will demystify QSARs for those students unsure of them, and professionals in environmental toxicology and chemistry will find this a useful reference in their everyday working lives.