Toxicological Risk Assessment And Multi System Health Impacts From Exposure PDF
It is an amazing Medical book written by Aristidis M. Tsatsakis and published by Elsevier. This book was released on 01 August 2021 with total pages 684. Read book in PDF, EPUB and Kindle directly from your devices anywhere anytime. Click Download button to get Toxicological Risk Assessment and Multi-System Health Impacts from Exposure book now. This site is like a library, Use search box to get ebook that you want.
- Author : Aristidis M. Tsatsakis
- Release Date : 01 August 2021
- Publisher : Elsevier
- Genre : Medical
- Pages : 684
- ISBN 13 : 9780323853583
- Total Download : 718
- File Size : 47,6 Mb
Toxicological Risk Assessment and Multi-System Health Impacts from Exposure PDF Summary
Toxicological Risk Assessment and Multisystem Health Impacts From Exposure highlights the emerging problems of human and environmental health attributable to cumulative and multiple sources of long-term exposure to environmental toxicants. The book describes the cellular, biological, immunological, endocrinologic, genetic, and epigenetic effects of long-term exposure. It examines how the combined exposure to nanomaterials, metals, pharmaceuticals, multifrequency radiation, dietary mycotoxins, and pesticides accelerates ecotoxicity in humans, animals, plants, and the larger environment. The book goes on to also offer insights into mixture risk assessments, protocols for evaluating the risks, and how this information can serve the regulatory agencies in setting safer exposure limits. The book is a go-to resource for scientists and professionals in the field tackling the current and emerging trends in modern toxicology and risk assessment. • Bridges basic research with clinical, epidemiological, regulatory, and translational research, conveying both an introductory understanding and the latest developments in the field • Evaluates real-life human health risk assessment for long-term exposures to xenobiotic mixtures and the role they play in contributing to chronic disease • Discusses advances in predictive (in silico) toxicology tools and the benefits of using omics technologies in toxicology research