Ai For Drug Development And Well Being
DOWNLOAD
Download Ai For Drug Development And Well Being PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai For Drug Development And Well Being 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
Ai For Drug Development And Well Being
DOWNLOAD
Author : Mark Chang
language : en
Publisher:
Release Date : 2020-09-09
Ai For Drug Development And Well Being written by Mark Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with categories.
Artificial intelligence (AI) is transforming the practice of medicine. It is helping doctors diagnose patients more accurately, predict treatment effects on individuals, and recommend better treatments. AI is also transforming the drug discovery and development process, helping pharmaceutical researchers to identify and design active drug candidates, and reducing the cost of the clinical testing phase. Recently, the FDA moved toward a new, tailored review framework for artificial intelligence-based medical devices (Gottlieb, April 2019).This book is intended for a broad readership: sufficiently straightforward for college freshmen and informative enough for researchers. Chapter 1 gives a gentle introduction to the five ML categories of learning: supervised, unsupervised, reinforcement, evolutionary and swarm intelligence. Chapters 2 through 6 discuss the key concepts of the main methods in each of the five AI categories and their applications in pharmaceutical research & development and healthcare. Chapter 7 provides a state-of-the-art review of AI applications in prescription drug discovery, development, pharmacovigilance, and healthcare. Chapter 8 discusses artificial general intelligence and its controversies, challenges, and likely future directions. A few equations are included to effectively deliver key concepts and 100 key references are cited to meet researchers' needs. The book is a simplified version of my previous book: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. Readers who want to get hands on experiences may explore the book with computer code in R.
Ai For Product Development
DOWNLOAD
Author : Kanchan Naithani
language : en
Publisher: CRC Press
Release Date : 2025-07-15
Ai For Product Development written by Kanchan Naithani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Computers categories.
AI for Product Development explores the transformative role of artificial intelligence in reshaping modern industries. This book offers a comprehensive guide, spanning the evolution of AI in product innovation to practical applications, such as clustering techniques, human-autonomous vehicle interactions, and personalized healthcare solutions. With contributions from leading researchers, it covers explainable AI, real-world case studies, and ethical considerations in intelligent systems. The chapters delve into cutting-edge topics such as YOLO model variants, AI-driven emotion detection, and strategies for overcoming AI implementation challenges. Designed for researchers, professionals, and students, it bridges theory and practice, emphasizing AI's profound impact on product development and beyond.
Artificial Intelligence In Healthcare
DOWNLOAD
Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Ai And Data Science In Drug Development And Public Health Highlights From The Mcbios 2022 Conference
DOWNLOAD
Author : Ramin Homayouni
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-27
Ai And Data Science In Drug Development And Public Health Highlights From The Mcbios 2022 Conference written by Ramin Homayouni 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 2023-03-27 with Science categories.
Transforming Pharmaceutical Research With Artificial Intelligence
DOWNLOAD
Author : Lytras, Miltiadis D.
language : en
Publisher: IGI Global
Release Date : 2025-04-29
Transforming Pharmaceutical Research With Artificial Intelligence written by Lytras, Miltiadis D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Medical categories.
Artificial intelligence (AI) technologies enable researchers to analyze vast amounts of data, identify patterns, and predict potential drug candidates with unprecedented accuracy. By automating time-consuming tasks, AI accelerates the discovery of new therapies while reducing costs and improving outcomes. AI’s ability to process complex biological and chemical information paves the way for personalized medicine, where treatments can be tailored to individual patients based on their unique genetic makeup. As AI continues to evolve, its integration into pharmaceutical research may unlock new possibilities in healthcare, from groundbreaking treatments to efficient drug delivery. Transforming Pharmaceutical Research With Artificial Intelligence explores the multifaceted landscape where technology intersects with the pharmaceutical domain. From innovative digital solutions optimizing drug discovery to the integration of artificial intelligence in clinical trials, it examines the evolution of the industry, scrutinizing challenges, showcasing initiatives, and elucidating best practices. This book covers topics such as drug discovery, biomarkers, and precision therapeutics, and is a useful resource for pharmacologists, computer engineers, economists, business owners, medical professionals, academicians, and researchers.
Ai Technologies And Advancements For Psychological Well Being And Healthcare
DOWNLOAD
Author : Wongmahesak, Kittisak
language : en
Publisher: IGI Global
Release Date : 2024-09-18
Ai Technologies And Advancements For Psychological Well Being And Healthcare written by Wongmahesak, Kittisak and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.
In mental health care, artificial intelligence (AI) tools can enhance diagnostic accuracy, personalize treatment plans, and provide support through virtual therapy and chatbots that offer real-time assistance. These technologies can help identify early signs of mental health issues by analyzing patterns in speech, behavior, and physiological data. However, the integration of AI also raises concerns about privacy, data security, and the potential for algorithmic bias, which could impact quality of care. As AI continues to evolve, its role in psychological well-being and healthcare will depend on addressing these ethical and practical considerations while harnessing its potential to improve mental health outcomes and streamline healthcare delivery. AI Technologies and Advancements for Psychological Well-Being and Healthcare discusses the latest innovations in AI that are transforming the landscape of mental health and healthcare services. This book explores how AI applications, such as machine learning algorithms and natural language processing, are enhancing diagnostic accuracy, personalizing treatment options, and improving patient outcomes. Covering topics such as behavioral artificial intelligence, medical diagnosis, and precision medicine, this book is an excellent resource for mental health professionals, healthcare providers and administrators, AI and data scientists, academicians, researchers, healthcare policymakers, and more.
Physical Health Mental Health And Human Well Being In The Age Of Ai
DOWNLOAD
Author : Wongmahesak, Kittisak
language : en
Publisher: IGI Global
Release Date : 2024-12-04
Physical Health Mental Health And Human Well Being In The Age Of Ai written by Wongmahesak, Kittisak and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-04 with Computers categories.
Amidst the complexities of modern life, the importance of human well-being in its various dimensions is a continual priority. As artificial intelligence (AI) becomes a key influence in nearly every facet of modern life, it raises essential questions about the current and future state of human health and well-being. While AI has the potential to revolutionize healthcare, enhance mental health support, and improve overall quality of life, it also presents challenges regarding privacy, ethical considerations, and the impact of automation on human relationships and mental health. Navigating these opportunities and concerns requires a balanced approach to ensure that technological advancements align with the holistic needs of individuals and communities. Physical Health, Mental Health, and Human Well-Being in the Age of AI explores the evolving landscape of health in a technology-driven world. Beyond healthcare, the book also examines the broader implications of AI on social well-being, environmental health, and the future of work and education. Through expert insights and empirical research from around the globe, this book provides invaluable knowledge for researchers and practitioners alike, and appeals to readers from a broad spectrum of disciplines.
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.
Generative Artificial Intelligence For Biomedical And Smart Health Informatics
DOWNLOAD
Author : Aditya Khamparia
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-05
Generative Artificial Intelligence For Biomedical And Smart Health Informatics written by Aditya Khamparia 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 2025-02-05 with Medical categories.
Enables readers to understand the future of medical applications with generative AI and related applications Generative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on deep learning and machine learning in which biomedical data is gathered, processed, and analyzed using data augmentation techniques. This book covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. The book explores findings obtained by explainable AI techniques, with coverage of various techniques rarely reported in literature. Throughout, feedback and user experiences from physicians and medical staff, as well as use cases, are included to provide important context. The book discusses topics including privacy and security challenges in AI-enabled health informatics, biosensor-guided AI interventions in personalized medicine, regulatory frameworks and guidelines for AI-based medical devices, education and training for building responsible AI solutions in healthcare, and challenges and opportunities in integrating generative AI with wearable devices. Topics covered include: Treatment of neurological disorders using intelligent techniques and image-guided and tomography interventions for neuromuscular disorders Bio-inspired smart healthcare service frameworks with AI, machine learning, and deep learning, integration of IoT devices, and edge computing in industrial and clinical systems Traffic management and optimization in distributed environments, patient data management, disease surveillance and prediction, and telemedicine and remote monitoring Education-driven, peer-to-peer, and service-oriented architectures and transparency and accountability in medical decision-making Generative Artificial Intelligence for Biomedical and Smart Health Informatics is an essential reference for computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence and other related technologies in healthcare.
Sustainable Development Goals Sdg And Its Intersection With Health And Well Being
DOWNLOAD
Author : Poddar, Sandeep
language : en
Publisher: IGI Global
Release Date : 2025-05-16
Sustainable Development Goals Sdg And Its Intersection With Health And Well Being written by Poddar, Sandeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Business & Economics categories.
The Sustainable Development Goals (SDGs) provide a global framework for addressing the world’s challenges, with health and well-being at the forefront of this agenda. It directly targets the improvement of global health outcomes, but its influence extends across nearly all goals. Access to clean water and sanitation, quality education, gender equality, and reduced inequalities, among others, are interconnected with health determinants and outcomes. Achieving the SDGs requires integrated policies and cross-sector collaboration to address the causes of health disparities and to build resilient systems to address global health threats, like pandemics and climate change. Health and well-being are foundational to and reflective of sustainable development, making their advancement essential for global progress. Sustainable Development Goals (SDG) and Its Intersection With Health and Well-Being explores environmental toxicology, its effects, and its relation to clinical medicine and immunology. It examines instances of socio-economic distress and its relevant health issues. This book covers topics such as health systems, psychology, and social discrimination, and is a useful resource for business owners, engineers, policymakers, medical professionals, academicians, researchers, and scientists.