Deep Learning For Toxicity And Disease Prediction
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Deep Learning For Toxicity And Disease Prediction
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Author : Ping Gong
language : en
Publisher: Frontiers Media SA
Release Date : 2020-04-01
Deep Learning For Toxicity And Disease Prediction written by Ping Gong and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with categories.
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.
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.
Deep Learning For The Life Sciences
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Author : Bharath Ramsundar
language : en
Publisher: O'Reilly Media
Release Date : 2019-04-10
Deep Learning For The Life Sciences written by Bharath Ramsundar and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-10 with Science categories.
Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working
Ai And Iot Based Technologies For Precision Medicine
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2023-10-18
Ai And Iot Based Technologies For Precision Medicine written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Medical categories.
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
Topological Indices And Related Descriptors In Qsar And Qspr
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Author : James Devillers
language : en
Publisher: CRC Press
Release Date : 2000-03-09
Topological Indices And Related Descriptors In Qsar And Qspr written by James Devillers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-09 with Mathematics categories.
Topological Indices and Related Descriptors in QSAR and QSPR reviews the state of the art in this field and highlights the important advances in the generation of descriptors calculated directly from the structure of molecules. This long-awaited comprehensive book provides all the necessary information to calculate and use these descriptors for deriving structure-activity and structure-property relationships. Written by leading experts in the field, this book discusses the physicochemical significance, strengths, and weaknesses of these indices and presents numerous examples of applications. This book will be a valuable reference for anyone involved in the use of QSAR and QSPR in the pharmaceutical, applied chemical, and environmental sciences. It is also suitable for use as a supplementary textbook on related graduate level courses.
Artificial Intelligence In E Health Framework Volume 1
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Author : Sudip Paul
language : en
Publisher: Academic Press
Release Date : 2025-01-24
Artificial Intelligence In E Health Framework Volume 1 written by Sudip Paul and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Science categories.
Artificial Intelligence in e-health Framework, Volume One: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis presents a variety of AI techniques and applications for solving issues in the healthcare industry. As Artificial Intelligence is increasingly incorporated into medical systems and methods, it is critical to understand the formulations and basics of machine and deep learning as well as how to implement these advances into practice. This book specifically explores Artificial Intelligence developments in disease diagnosis, health monitoring, medical image recognition, and diagnostics, as well as e-health records management.This is a valuable resource for health professionals, scientists, researchers, students, and all who wish to broaden their knowledge in this advancing technology. - Provides an in-depth introduction to Artificial Intelligence in e-health framework - Reviews theoretical and application information to develop understanding of AI advances in diagnostics, health monitoring, and records management - Discusses advanced AI techniques in both machine learning and deep learning for solving healthcare industry issues
Handbook Of Research On Disease Prediction Through Data Analytics And Machine Learning
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Author : Rani, Geeta
language : en
Publisher: IGI Global
Release Date : 2020-10-16
Handbook Of Research On Disease Prediction Through Data Analytics And Machine Learning written by Rani, Geeta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-16 with Medical categories.
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
Iot Wsn Dt Based Medical Systems And Nanotechnology For Smart Cancer Care
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Author : Tuan Anh Nguyen
language : en
Publisher: Academic Press
Release Date : 2025-08-01
Iot Wsn Dt Based Medical Systems And Nanotechnology For Smart Cancer Care written by Tuan Anh Nguyen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Science categories.
IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care explores the latest advances in nanotechnology, artificial intelligence, Internet of Medical Things (IoMT), digital twin, and wireless sensor networks for real-time cancer care, enabling efficient decision-making and treatment. The book examines how data from medical nanosensors can be integrated with the technology of digital twins for cancer forecasting and monitoring, providing accessible smart insights via remote and mobile devices. By combining the strengths of smart nanotechnology, IoT-based platforms, WSN technologies, and DT, a powerful medical system can be developed for smart cancer care.This system can help in early diagnosis, targeted drug delivery, real-time monitoring, and personalized treatment, ultimately improving patient outcomes. - Covers how nanosensors and nanodevices can be used in cancer forecasting, detection, and monitoring - Explores how nanomedicines and nanovaccines can be used in cancer treatment and diagnosis - Explains how digital twin, AI, and nanotechnology can be used for the future of cancer diagnostics and treatment
Mammalian Toxicology
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Author : Mohamed Abou-Donia
language : en
Publisher: John Wiley & Sons
Release Date : 2015-05-04
Mammalian Toxicology written by Mohamed Abou-Donia 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 2015-05-04 with Medical categories.
Mammalian Toxicology surveys chemical agents and examines how such chemicals impact on human health, emphasizing the importance in minimizing environmental exposure to chemical and physical hazards in our homes, communities and workplaces through such media as contaminated water, soil and air. Starting with the basic principles on a wide range of toxic agents, this textbook describes how they enter the body, their mechanisms of action once inside, and strategies for diagnosis, prevention and treatment. Topics covered include: General principles of toxicology: pharmacological and toxicological principles underpinning the study of toxicology, risk assessments and mechanisms of cell death Disposition: routes of chemical exposures, entry into the body and various tissues, storage, metabolic biotransformation and elimination, with examples from various toxicants. Toxic agents: the occurrences, disposition in the body, health effects, toxic mechanisms, antidotes and treatments of a range of agents including pesticides, metals, solvents, gases, nanomaterials, food components and additives, pharmaceuticals, drugs of abuse, natural toxins, endocrine disruptors, radiation, and warfare weapons. Toxic effects: including neurotoxicity, developmental toxicity, immunotoxicity, teratogenecity, male and female reproductive toxicity, mutagenecity, carcinogenicity, pulmonary toxicity, cardiovascular toxicity, hepatotoxicity, gastrointestinal toxicity and cardiovascular toxicity Toxicology and society: epidemiological studies of chemical-induced diseases in human populations, and a vision for toxicology in the 21st century. Mammalian Toxicology is an essential primer for students of toxicology, biochemistry, biology, medicine and chemistry. It is also appropriate for professional toxicologists in research or regulatory affairs, and anyone who needs to understand the adverse effects of toxic agents on the human body.