Personalized Medicine Meets Artificial Intelligence

Personalized Medicine Meets Artificial Intelligence
Author: Alfredo Cesario
Publisher: Springer Nature
Total Pages: 275
Release: 2023-08-26
Genre: Science
ISBN: 3031326148
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The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine. The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various contexts. These include examples from digital therapeutics, in silico clinical trials, and network pharmacology. In the final section of the book, the authors explore future directions in AI-enhanced biomedical technologies and discuss emerging technologies such as blockchain, quantum computing and the “metaverse”. The book includes discussions on the ethical, regulatory, and social implications for an AI-based personalized medicine. The integration of heterogeneous disciplines brings together multiple stakeholders and decision makers involved in the personalization of care. Clinicians, students, and researchers from academia and the industry can benefit from this book, since it provides foundational knowledge to drive advances in personalized biomedical research and health care.

Artificial Intelligence for Personalized Medicine

Artificial Intelligence for Personalized Medicine
Author: Arash Shaban-Nejad
Publisher: Springer Nature
Total Pages: 306
Release: 2023-10-03
Genre: Technology & Engineering
ISBN: 3031369386
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This book aims to highlight the latest achievements in the use of AI in personalized medicine and healthcare delivery. The edited book contains selected papers presented at the 2023 Health Intelligence workshop, co-located with the Thirty-Seven Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI in medicine and public health.

AI-Based Personalized Medicine

AI-Based Personalized Medicine
Author: Minghai Zheng
Publisher: Independently Published
Total Pages: 0
Release: 2023-06-24
Genre:
ISBN:
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1. Discover the future of medicine with #AIPersonalizedMedicine - the ultimate guide to using AI to tailor treatment plans for patients! 2. Get ahead of the curve with #AIPersonalizedMedicine and learn how AI is revolutionizing healthcare by providing personalized treatment plans. 3. Don't settle for one-size-fits-all medicine! Check out #AIPersonalizedMedicine and learn how AI can provide tailored treatment plans for every patient. 4. Interested in the cutting-edge of healthcare? Explore #AIPersonalizedMedicine and discover how AI is changing the game for personalized treatment plans. 5. Unlock the power of AI for personalized medicine with #AIPersonalizedMedicine - the must-read book for anyone interested in the future of healthcare. AI-based personalized medicine is revolutionizing the healthcare industry by providing accurate and precise treatment plans for individual patients. Personalized medicine aims to provide customized healthcare solutions based on patient-specific characteristics such as age, gender, genetic makeup, lifestyle, and medical history. With the help of artificial intelligence, doctors are now able to analyze large amounts of data and develop more effective and efficient treatments that are tailored to meet the unique needs of each patient. This book, "AI-Based Personalized Medicine: Tailoring Treatment Plans for Patients," provides an in-depth understanding of how AI is transforming the healthcare industry. The book covers topics such as the different types of AI algorithms, their applications in healthcare, regulatory and ethical considerations, integration with clinical workflows and healthcare systems, patient education and engagement, and business models and cost-effectiveness. The book is a valuable resource for healthcare providers, researchers, policymakers, and anyone interested in the future of healthcare. MingHai Zheng is the founder of zhengpublishing.com and lives in Wuhan, China. His main publishing areas are business, management, self-help, computers and other emerging foreword fields.

Personalized Medicine

Personalized Medicine
Author: Yakson Bobby
Publisher: Independently Published
Total Pages: 0
Release: 2024-07-14
Genre: Technology & Engineering
ISBN:
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Personalized Medicine: How AI and Analytics Are Revolutionizing Healthcare by Yakson Bobby explores the transformative potential of personalized medicine in reshaping the healthcare landscape. This book delves into how cutting-edge technologies such as genomics, artificial intelligence (AI), and data analytics are revolutionizing the approach to medical treatments, making them more precise and effective. It highlights the shift from the traditional one-size-fits-all model to a more individualized approach, where treatments are tailored based on a patient's unique genetic makeup, lifestyle, and environment. Through comprehensive discussions on genetics, proteomics, metabolomics, and biomarkers, as well as practical applications and real-world case studies, the book provides a thorough understanding of personalized medicine. It also addresses the ethical dilemmas, accessibility issues, and the balance between innovation and privacy. Finally, the book looks forward to the future of personalized medicine, predicting trends and emerging technologies that promise to further revolutionize healthcare.

Predictive Medicine

Predictive Medicine
Author: Emmanuel Fombu
Publisher: Business Expert Press
Total Pages: 237
Release: 2020-01-10
Genre: Business & Economics
ISBN: 1951527054
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Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we’ll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them. This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It’s a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.

Digital Identity in the New Era of Personalized Medicine

Digital Identity in the New Era of Personalized Medicine
Author: Vasiliu-Feltes, Ingrid
Publisher: IGI Global
Total Pages: 290
Release: 2022-11-18
Genre: Medical
ISBN: 179988967X
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Within the past decade, we have witnessed an increased adoption of emerging technologies as well as the exponential pace of scientific discoveries within all industries. The level of digital innovation and digital transformation experienced in healthcare and life sciences has been markedly accelerated by the COVID-19 pandemic. There is a new sense of urgency to design and develop a new global health ecosystem that is more suitable for the digital era and future generations. Deploying precision medicine solutions that can redefine the way we diagnose and treat disease, as well as shift the focus towards a customized human-centered approach, such as those offered by personalized medicine, can be a viable sustainable model. Digital Identity in the New Era of Personalized Medicine highlights the latest trends in precision medicine and the important role digital identity plays in upholding ethical values, safeguarding human rights, and practicing responsible personalized medicine. It provides an overview of the current healthcare legal and regulatory landscapes as well as some of the major challenges and opportunities we face in this digital, virtual, and precision medicine-powered era. Covering topics such as data-centric compliance, global health, and identity management, this book is an essential resource for doctors, healthcare administration, academicians, clinicians, health and bio-tech executives, researchers, medical professionals, medical engineers, medical students, and government officials looking for a resource that addresses challenges in healthcare including trust, privacy, data integrity, and ownership.

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare
Author: Ankur Saxena
Publisher: Springer Nature
Total Pages: 228
Release: 2021-05-06
Genre: Science
ISBN: 9811608113
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This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.

Advancing Healthcare Through Personalized Medicine

Advancing Healthcare Through Personalized Medicine
Author: Priya Hays
Publisher: Springer Nature
Total Pages: 755
Release: 2021-09-27
Genre: Medical
ISBN: 3030801004
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This book provides a unique perspective on the biomedical and societal implications of personalized medicine and how it helps to mitigate the healthcare crisis and rein in ever-growing expenditure. It introduces the reader to the underlying concepts at the heart of personalized medicine. An innovative second edition, this book functions as an update to the successful first edition to include new, state-of-the-art information and advancements in the fast-paced field of personalized medicine. Chapters examine pharmacogenomics, targeted therapies, individualized diagnosis and treatment, and cancer immunotherapies. The book also features an essential discussion on how the advent of genomic technologies gives clinicians the capability to predict and diagnose disease more efficiently and offers a detailed up-to-date compilation of clinical trials in cancer leading to breakthrough therapies. The book also addresses the impact of Big Data on personalized medicine and the newfound applications of digital health and artificial intelligence. A work that advocates for a patient-centered approach, Advancing Healthcare Through Personalized Medicine, Second Edition is an invaluable text for clinicians, healthcare providers, and patients.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
Author: Mark Chang
Publisher: CRC Press
Total Pages: 372
Release: 2020-05-07
Genre: Business & Economics
ISBN: 1000766721
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Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Clinical Neurotechnology meets Artificial Intelligence

Clinical Neurotechnology meets Artificial Intelligence
Author: Orsolya Friedrich
Publisher: Springer Nature
Total Pages: 232
Release: 2021-03-03
Genre: Medical
ISBN: 3030645908
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Neurotechnologies such as brain-computer interfaces (BCIs), which allow technical devices to be used with the power of thought or concentration alone, are no longer a futuristic dream or, depending on the viewpoint, a nightmare. Moreover, the combination of neurotechnologies and AI raises a host of pressing problems. Now that these technologies are about to leave the laboratory and enter the real world, these problems and implications can and should be scrutinized. This volume brings together scholars from a wide range of academic disciplines such as philosophy, law, the social sciences and neurosciences, and is unique in terms of both its focus and its methods. The latter vary considerably, and range from philosophical analysis and phenomenologically inspired descriptions to legal analysis and socio-empirical research. This diversified approach allows the book to explore the entire spectrum of philosophical, normative, legal and empirical dimensions of intelligent neurotechnologies. Philosophical and legal analyses of normative problems are complemented by a thorough empirical assessment of how BCIs and other forms of neurotechnology are being implemented, and what their measurable implications are. To take a closer look at specific neurotechnologies, a number of applications are addressed. Case studies, previously unidentified issues, and normative insights on these cases complement the rich portrait this volume provides. Clinicians, philosophers, lawyers, social scientists and engineers will greatly benefit from the collection of articles compiled in this book, which will likely become a standard reference work on the philosophy of intelligent neurotechnologies.