Predictive Analytics for Toxicology: Applications in Discovery Science

Valerio Jr, Luis G.

Predictive Analytics for Toxicology: Applications in Discovery Science
  • 出版商: CRC
  • 出版日期: 2024-08-13
  • 售價: $7,330
  • 貴賓價: 9.5 折 $6,964
  • 語言: 英文
  • 頁數: 238
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367775549
  • ISBN-13: 9780367775544
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

預測數據科學已在許多領域中得到應用，但其在毒理學中的應用仍然是新興的，並受到非動物替代測試倡議的追捧。《Predictive Analytics for Toxicology: Applications in Discovery Science》提供了預測分析在毒理學領域應用的全面概述，突顯了其在發現科學中的角色和應用。

本書探討了準確預測高水平毒性終點的挑戰，並研究了計算和人工智慧研究在自動化預測毒理學中的應用。它強調了預測毒理學在提出和解釋由於人類接觸特定毒物而導致的不良結果中的重要性，特別是在有關毒物的實驗和觀察數據不完整或不可用的情況下。

主要特色：
- 包含對毒理學中預測分析的通俗描述，並概述了廣泛的應用範圍
- 檢視預測科學、計算模型作為自動化科學的概念，以及對機器學習概念的全面討論
- 揭示人工智慧及其在毒理學中的應用
- 涵蓋如何將 in silico 毒性預測作為轉譯科學工具

本書整合了預測毒理學的策略和實踐，並提供學生和毒理學、化學及製藥行業專業人士所需的實用資訊。它滿足了希望學習毒理學中預測分析的學生研究者的期望。本書將激勵科學家使用人工智慧和機器學習進行預測毒理學建模，並啟發對自動化科學感興趣的學生和資深科學家進行新的研究，利用預測 in silico 模型評估化學誘導的毒性。

本書專注於實際應用和現實世界的例子，作為導航發現毒理學複雜問題和實踐的指南。它是對計算機基礎方法在毒理學中感興趣的讀者的重要資源，提供了對預測分析使用的寶貴見解。

作者簡介

Luis G. Valerio, Jr. has been a toxicologist for over 26 years. He has served in the public health arena for 20 years. He earned his Ph.D. in Pharmaceutical Science from the University of Colorado in Denver and is a board-certified toxicologist in the Academy of Toxicological Sciences. He was a National Research Council, National Academies of Sciences, Engineering, and Medicine Fellow in Gastroenterology at the University of Colorado, School of Medicine, Department of Medicine, Division of Gastroenterology and Hepatology. Following his academic research on the molecular regulation of cytochrome P450 1A1 and 1A2, he served as a National Science Foundation International Postdoctoral Research Fellow at the Autonomous University of Barcelona, Spain where he studied the biochemistry and metabolism of alcohol dehydrogenase enzymes. He served as a temporary advisor for the World Health Organization and on international scientific committees assessing the safety of chemicals added to food. He has worked on quality standards-setting committees for human pharmaceuticals. He has several years of industry experience in consumer product safety and chemical toxicology. He has overseen clinical studies to predict dermal hazards of consumer products. He has served as a Scientific Director of a food chemical and manufacturing trade association. He is currently Editor-in-Chief of the journals, Toxicology Mechanisms and Methods and Expert Opinion on Drug Metabolism & Toxicology (Taylor & Francis Group). He enjoys writing and has published 100 articles on a variety of topics in mechanisms of chemical toxicity, xenobiotic metabolism, safety science, and computational science.

作者簡介(中文翻譯)

Luis G. Valerio, Jr. 擁有超過 26 年的毒理學經驗。他在公共衛生領域服務了 20 年。他在科羅拉多大學丹佛分校獲得藥物科學博士學位，並且是毒理科學學院的認證毒理學家。他曾在科羅拉多大學醫學院內科系的胃腸病學與肝臟病學部門擔任國家研究委員會、國家科學、工程與醫學院的胃腸病學研究員。隨著他對細胞色素 P450 1A1 和 1A2 分子調控的學術研究，他在西班牙巴塞羅那自治大學擔任國家科學基金會國際博士後研究員，研究酒精脫氫酶的生物化學和代謝。他曾擔任世界衛生組織的臨時顧問，並參與國際科學委員會，評估添加到食品中的化學物質的安全性。他曾參與人用藥物的質量標準制定委員會，並在消費品安全和化學毒理學方面擁有數年的行業經驗。他負責監督臨床研究，以預測消費品的皮膚危害。他曾擔任食品化學和製造貿易協會的科學主任。目前，他是期刊《Toxicology Mechanisms and Methods》和《Expert Opinion on Drug Metabolism & Toxicology》（Taylor & Francis Group）的主編。他喜歡寫作，並在化學毒性機制、外源性代謝、安全科學和計算科學等多個主題上發表了 100 篇文章。

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