Artificial Intelligence In Bioinformatics And Drug Repurposing Methods And Applications
DOWNLOAD
Download Artificial Intelligence In Bioinformatics And Drug Repurposing Methods And Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence In Bioinformatics And Drug Repurposing Methods And Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence In Bioinformatics And Drug Repurposing Methods And Applications
DOWNLOAD
Author : Pan Zheng
language : en
Publisher: Frontiers Media SA
Release Date : 2022-04-08
Artificial Intelligence In Bioinformatics And Drug Repurposing Methods And Applications written by Pan Zheng 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 2022-04-08 with Science categories.
Artificial Intelligence In Bioinformatics Enhancing Analysis
DOWNLOAD
Author : Dr. Bhavna Bajpai
language : en
Publisher: Xoffencer international book publication house
Release Date : 2024-06-01
Artificial Intelligence In Bioinformatics Enhancing Analysis written by Dr. Bhavna Bajpai and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Computers categories.
The size of a cell, which is normally between 10 and 30 millionths of a meter (10 and 30µm) in diameter for humans, is comprised of several organelles, which are specialized structures. The cell membrane is responsible for regulating the movement of substances into and out of the cell, as well as enclosing cell organelles and cell substances. The cytoplasm serves as a fluid container for cell organelles and other cell substances, and it also assists in the transportation of substances within the cell. The nucleus is responsible for directing all activity within the cell and carrying hereditary information. Figure 1.1 A general outline of a human cell Source: Data collection and processing through by Intelligent Bioinformatics (Edward Keedwell 2015) The endoplasmic reticulum is a transport network and storage area for substances within the cell. The ribosome is responsible for the production of various types of cell proteins; the Golgi apparatus is responsible for packaging protein for storage or transporting it out of the cell; the lysosome is responsible for digesting or breaking down food materials into simpler parts, and it is responsible for removing waste 2 | P a g e materials from the cell. The mitochondria are responsible for providing the cell with its power supply by producing ATP, which is adenosine triphosphate. To maintain the viability of the cell, each organelle is responsible for one or more specialized functions.
Artificial Intelligence And Machine Learning In Drug Design And Development
DOWNLOAD
Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21
Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna 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 2024-06-21 with Computers categories.
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
Drug Repurposing
DOWNLOAD
Author : Farid A. Badria
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-12-02
Drug Repurposing written by Farid A. Badria and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Medical categories.
Drug repurposing or drug repositioning is a new approach to presenting new indications for common commercial and clinically approved existing drugs. For example, chloroquine, an old antimalarial drug, showed promising results for treating COVID-19, interfering with MDR in several types of cancer, and chemosensitizing human leukemic cells.This book focuses on the hypothesis, risk/benefits, and economic impacts of drug repurposing on drug discovery in dermatology, infectious diseases, neurological disorders, cancer, and orphan diseases. It brings together up-to-date research to provide readers with an informative, illustrative, and easy-to-read book useful for students, clinicians, and the pharmaceutical industry.
Drug Repurposing
DOWNLOAD
Author : Naveen Chella
language : en
Publisher: Springer Nature
Release Date : 2024-08-28
Drug Repurposing written by Naveen Chella and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Science categories.
This book offers an insightful exploration of drug repurposing, an innovative approach to drug discovery and development that has the potential to revolutionize the field of medicine. It begins with an introduction to drug repurposing and its history, providing a comprehensive overview of the subject. The readers will embark on a journey through the diverse landscape of drug repurposing strategies. From in silico methods of predicting drug-disease associations to experimental approaches to the integrations of artificial intelligence (AI) and machine learning (ML) in drug repurposing for validating repurposed candidates. The book also delves into the application of drug repurposing in various disease areas, including cancer, inflammatory disorders, and CNS disorders. It explores the potential hurdles involved in the regulatory aspects of the process. The book further covers drug products under clinical trials and provides an overview of the future perspectives of drug repurposing. With its detailed and informative content, this book is a must-read for researchers, clinicians, and healthcare professionals interested in the exciting field of drug repurposing.
Unraveling New Frontiers And Advances In Bioinformatics
DOWNLOAD
Author : Amit Chaudhary
language : en
Publisher: Springer Nature
Release Date : 2024-09-21
Unraveling New Frontiers And Advances In Bioinformatics written by Amit Chaudhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Computers categories.
This book describes the bioinformatics research field, from its historical roots to the cutting-edge technologies. Many readers can discover the power of next-generation sequencing and genomic data analysis, uncover the secrets of single-cell genomics and transcriptomics, explore the metagenomics and microbiome analysis, and predict the protein structures using structural bioinformatics. Several case studies witnessing the fusion of bioinformatics and artificial intelligence, driving insights from vast biological datasets have also been explored. Other important aspects listed in the book are integrating the omics data for a holistic view of biological systems; experiencing the future of medicine with precision healthcare and personalized treatments; accelerating drug discovery and repurposing through computational approaches; agricultural genomics; and exploring the role of immunoinformatics in designing effective vaccines against infectious diseases.
The Smart Life Revolution
DOWNLOAD
Author : Connie Tee
language : en
Publisher: CRC Press
Release Date : 2025-06-09
The Smart Life Revolution written by Connie Tee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
This book explores the integration of Artificial Intelligence (AI) across areas such as IoT, big data, healthcare, business, economics, and security, and improving the quality of life (QoL) in smart cities today. By looking in depth at the different application areas of AI, the reader learns about the broad and impactful ways AI is transforming our world, its profound influence in enhancing service efficiency, personalization, accessibility, and fostering both scientific and social advancement. The editors consider the importance of bridging theory and practice by offering a practical understanding of how key AI technologies can be applied in real-world scenarios for QoL. By covering both foundational concepts and advanced applications with case studies and practical examples, this approach ensures the reader obtains a comprehensive understanding of the technologies and their impact. An innovation mindset is emphasized with discussion about the challenges, opportunities, future trends, and potential research directions to prepare readers for ongoing technological advancements. The book takes an interdisciplinary approach by integrating knowledge from computer science, engineering, and social sciences, to offer a holistic view of technology's role in society. This book serves as a valuable resource for both undergraduate and postgraduate students in the study of AI applications in society. The book may be used for researchers and communities to identify the different challenges associated with key technologies for building new applications for improving quality of lives in smart cities.
Drug Repurposing
DOWNLOAD
Author : Shailendra K. Saxena
language : en
Publisher: BoD – Books on Demand
Release Date : 2022-06-01
Drug Repurposing written by Shailendra K. Saxena and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Medical categories.
This book focuses on various aspects and applications of drug repurposing, the understanding of which is important for treating diseases. Due to the high costs and time associated with the new drug discovery process, the inclination toward drug repurposing is increasing for common as well as rare diseases. A major focus of this book is understanding the role of drug repurposing to develop drugs for infectious diseases, including antivirals, antibacterial and anticancer drugs, as well as immunotherapeutics.
Artificial Intelligence For Medicine
DOWNLOAD
Author : Shai Ben- David
language : en
Publisher: Elsevier
Release Date : 2024-03-14
Artificial Intelligence For Medicine written by Shai Ben- David and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Computers categories.
Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field. Artificial Intelligence for Medicine is beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field. - Covers the basic concepts of Artificial Intelligence and Machine Learning, methods and practices, and advanced topics and applications to clinical and precision medicine - Presents readers with an understanding of how AI is revolutionizing medicine by demonstrating the applications of computational intelligence to the field, along with an awareness of how AI can improve upon traditional medical structures - Provides researchers, practitioners, and project stakeholders with a complete guide for applying AI techniques in their projects and solutions
Distributed Machine Learning And Computing
DOWNLOAD
Author : M. Hadi Amini
language : en
Publisher: Springer Nature
Release Date : 2024-05-28
Distributed Machine Learning And Computing written by M. Hadi Amini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-28 with Technology & Engineering categories.
This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.