Integrating Artificial Intelligence Machine Learning And Big Data With Genetic Testing And Genomic Medicine To Enable Earlier Personalized Health Interventions
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Integrating Artificial Intelligence Machine Learning And Big Data With Genetic Testing And Genomic Medicine To Enable Earlier Personalized Health Interventions
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Author : Sambasiva Rao Suura
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-13
Integrating Artificial Intelligence Machine Learning And Big Data With Genetic Testing And Genomic Medicine To Enable Earlier Personalized Health Interventions written by Sambasiva Rao Suura and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-13 with Computers categories.
The convergence of Artificial Intelligence (AI), Machine Learning (ML), and Big Data with genetic testing and genomic medicine marks a transformative era in healthcare. This book explores the powerful synergy among these domains and their potential to reshape the way we understand, predict, and treat disease—ushering in a new age of personalized medicine. Genomic medicine, with its promise of tailoring healthcare based on an individual's genetic profile, has made significant strides in recent years. However, the vast and complex nature of genomic data presents both opportunities and challenges. This is where AI and ML come into play—offering advanced algorithms and predictive models capable of processing enormous datasets, identifying patterns, and generating actionable insights that were previously beyond human capability. Big Data technologies further support this integration by enabling the collection, storage, and analysis of genomic, clinical, lifestyle, and environmental information at an unprecedented scale and speed. The aim of this book is to provide readers with a comprehensive understanding of how AI, ML, and Big Data are being leveraged to enhance the precision, timing, and impact of genetic testing and interventions. From identifying predispositions to chronic conditions and rare diseases, to optimizing treatment plans and monitoring patient outcomes in real-time, the potential applications are vast and growing. We explore current advancements, real-world applications, and future directions in this rapidly evolving field. Whether you are a researcher, clinician, data scientist, or policy maker, this book offers valuable insights into the opportunities and ethical considerations that lie at the intersection of technology and genomic science. By harnessing these powerful technologies, we are moving toward a future where healthcare is not only reactive but predictive and preventative—tailored to each individual at the molecular level. This is the promise of personalized medicine, and the journey begins here.
Navigating Innovations And Challenges In Travel Medicine And Digital Health
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Author : Saurabh Agarwal
language : en
Publisher: IGI Global
Release Date : 2025
Navigating Innovations And Challenges In Travel Medicine And Digital Health written by Saurabh Agarwal 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 with Business & Economics categories.
"This book explores critical issues at the crossroads of travel medicine and digital health, aiming to prepare doctors, policymakers, technology developers, and public health officials with in-depth analyses and practical solutions"-- Provided by publisher.
Multidisciplinary Research In Arts Science Commerce Volume 24
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Author : Chief Editor- Biplab Auddya, Editor- Shagufta Shan, Dr.A.Sudarvizhi, Shweta Tiwari, Poorna Shree.T, Dr. Jay Prakash Rajak, Dr. Vinati Baurasi
language : en
Publisher: The Hill Publication
Release Date : 2025-04-11
Multidisciplinary Research In Arts Science Commerce Volume 24 written by Chief Editor- Biplab Auddya, Editor- Shagufta Shan, Dr.A.Sudarvizhi, Shweta Tiwari, Poorna Shree.T, Dr. Jay Prakash Rajak, Dr. Vinati Baurasi and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Antiques & Collectibles categories.
Computer Vision Exam Preparation
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26
Computer Vision Exam Preparation written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Study Aids categories.
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Harnessing Ai And Machine Learning For Precision Wellness
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Author : Ghosh, Joyeta
language : en
Publisher: IGI Global
Release Date : 2025-03-05
Harnessing Ai And Machine Learning For Precision Wellness written by Ghosh, Joyeta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.
Advancements in artificial intelligence and machine learning are reshaping healthcare by enabling highly personalized wellness strategies tailored to individual needs. By analyzing vast datasets, including genetic, biometric, and lifestyle information, these technologies can predict disease risks, optimize treatment plans, and recommend proactive health interventions. Precision wellness moves beyond traditional healthcare models, offering dynamic, adaptive solutions that evolve with new scientific discoveries. This shift has the potential to reduce healthcare costs, alleviate the burden on medical systems, and improve overall health outcomes. However, ethical considerations, data privacy, and equitable access remain crucial challenges in realizing the full benefits of AI-driven healthcare. Harnessing AI and Machine Learning for Precision Wellness demystifies the complex world of AI and machine learning in healthcare, exploring how these technologies are being applied across various aspects of wellness. It delves into the mathematical foundations that underpin these technologies, examines real-world case studies, and discusses the ethical considerations that must guide their implementation. This book covers topics such as mathematics, mental health, and preventive care, and is a useful resource for medical and healthcare professionals, computer engineers, data scientists, psychologists, academicians, and researchers.
Driving Global Health And Sustainable Development Goals With Smart Technology
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Author : Kukreti, Mohit
language : en
Publisher: IGI Global
Release Date : 2024-12-11
Driving Global Health And Sustainable Development Goals With Smart Technology written by Kukreti, Mohit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Medical categories.
The integration of smart technologies into healthcare systems is revolutionizing how medical services are delivered, enhancing the quality and accessibility of care. These innovations play a critical role in advancing global health. By leveraging technology, healthcare systems can address long-standing challenges such as inefficiencies, rising costs, and disparities in access. This transformation is not only driving better patient outcomes but also contributing to sustainable healthcare practices, aligning with global efforts to ensure well-being for all and support public health goals like the Sustainable Development Goals (SDGs). As the world faces ongoing public health challenges, the adoption of smart technologies in healthcare is becoming increasingly essential for building resilient and equitable healthcare systems. Driving Global Health and Sustainable Development Goals With Smart Technology explores the profound transformation of healthcare systems through the integration of smart technologies. It focuses on how these innovations are shaping healthcare delivery, enhancing patient outcomes, improving operational efficiency, and driving sustainability in alignment with the SDGs. Covering topics such as artificial intelligence (AI), health policy, and robotic process automation, this book is an excellent resource for healthcare practitioners and administrators, researchers, academicians, graduate and postgraduate students, technology and innovation experts, policymakers, government officials, and more.
Artificial Intelligence In Urologic Malignancies
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Author : Himanshu Arora
language : en
Publisher: Elsevier
Release Date : 2024-11-25
Artificial Intelligence In Urologic Malignancies written by Himanshu Arora and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Science categories.
Artificial Intelligence in Urologic Malignancies describes current artificial intelligence technology, with an emphasis on prostate cancer applications. The book provides guidance on how artificial intelligence can improve therapeutics, how the power of artificial intelligence integrated with current standard therapy and research can enhance decision-making, and proposes future directions on how to integrate artificial intelligence within clinical applications. This is the perfect reference for scientists and researchers interested in the basic translational research opportunities such as drug discovery, pharmacogenetics, and experimental therapeutics, as well as clinicians interested in how AI applications are integrated with applications. - Provides guidance on AI integration that is expected to become standard in the future - Places a special emphasis on prostate cancer and the integration of AI to show how to enhance personalized medicine - Surveys current techniques and standards that can be shared and applied to fields outside cancer
Superintelligence Ai Risks And Benefits
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Author : Sahab Sabri
language : en
Publisher:
Release Date : 2024-08-15
Superintelligence Ai Risks And Benefits written by Sahab Sabri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-15 with Computers categories.
Artificial intelligence (AI) stands at a pivotal crossroads, heralding advancements that promise to reshape societies and economies in profound ways. At the heart of this technological evolution lies the concept of superintelligence—a theoretical state where AI surpasses human intelligence across all domains. In ‘Superintelligence: AI Risks and Benefits’, this eBook offers a comprehensive exploration of this groundbreaking frontier, diving into its potential, risks, and the multifaceted discourse surrounding its development. With insights from leading experts in AI ethics, governance, and research, this eBook delves into the intricate details of superintelligence. Readers will discover an in-depth analysis of its definitions, the transformative benefits it could bring, and the ethical considerations that come with it. The book addresses the profound challenges and regulatory hurdles associated with managing such powerful technology while emphasizing the importance of responsible development. Through a multidisciplinary approach, ‘Superintelligence: AI Risks and Benefits’ brings together perspectives from AI researchers, philosophers, ethicists, policymakers, and global stakeholders. The discussions highlight both the remarkable possibilities that superintelligence might unlock—such as accelerated scientific breakthroughs and solutions to global issues—as well as the significant risks, including ethical dilemmas, societal disruptions, and existential threats. The eBook underscores the critical role of ethical frameworks, safety protocols, and international collaboration in shaping a future where AI enhances human well-being while mitigating potential harms. The United Nations’ perspective on AI’s role in advancing sustainable development goals further contextualizes the urgency of addressing AI's societal impacts and ensuring its equitable benefits. Join us on this enlightening journey into the realm of superintelligence, where we embrace the opportunities it presents and remain vigilant to the challenges ahead. May this eBook serve as a beacon for informed decision-making and a catalyst for meaningful discussions in the evolving landscape of artificial intelligence.
Deep Learning In Genetics And Genomics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28
Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.
Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene regulation, and the broader genomics landscape. The book not only covers the most up-to-date advancements in the field of deep learning in genetics and genomics, but also a wide spectrum of (sub) topics including medical and clinical genetics, predictive medicine, transcriptomic, and gene expression studies. In 21 chapters Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications describes how AI and DL have become increasingly useful in genetics and genomics research where both play a crucial role by accelerating research, improving the understanding of the human genome, and enabling personalized healthcare. From the fundamentals concepts and practical applications of deep learning algorithms to a wide range of challenging problems from genetics and genomics, Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications creates a better knowledge of the biological and genetics mechanisms behind disease illnesses and improves the forecasting abilities using the different methodologies described. This title offers a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning-based approaches in genetics and genomics, helping researchers process and interpret vast amounts of genetic data, identify patterns, and make discoveries that would be challenging or impossible using traditional methods. - Brings together fundamental concepts of genetics, genomics, and deep learning - Includes how to build background of solution methodologies and design of mathematical and logical algorithms - Delves into the intersection of deep learning and genetics, offering a comprehensive exploration of how deep learning techniques can be applied to various aspects of genomics
Ai Innovations In Drug Delivery And Pharmaceutical Sciences Advancing Therapy Through Technology
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Author : Kuldeep Vinchurkar
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-11-18
Ai Innovations In Drug Delivery And Pharmaceutical Sciences Advancing Therapy Through Technology written by Kuldeep Vinchurkar and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-18 with Technology & Engineering categories.
AI Innovations in Drug Delivery and Pharmaceutical Sciences: Advancing Therapy through Technology offers a comprehensive exploration of how artificial intelligence (AI) is revolutionizing the pharmaceutical and healthcare sectors. This book addresses the AI’s role in drug discovery, development, and delivery, highlighting applications in personalized medicine, nanotechnology, and clinical trials. It also covers AI’s impact on community and hospital pharmacy, herbal medicine, and drug product design. Each chapter examines the use of AI in optimizing drug processes, from designing innovative therapies to improving regulatory compliance and future trends in pharmaceutical technology. This insightful resource is invaluable for researchers, pharmaceutical professionals, and healthcare innovators aiming to advance therapeutic outcomes through AI. Key Features: - Comprehensive coverage of AI applications in drug discovery, delivery, and design. - Insights into AI-driven personalized medicine and nanotechnology. - Regulatory perspectives on AI in drug delivery and medical devices. - Future trends and innovations in AI for pharmaceutical technology.