A Textbook On Artificial Intelligence In Precision Medicine Drug Development And Healthcare
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A Textbook On Artificial Intelligence In Precision Medicine Drug Development And Healthcare
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Author : Dr.Krishnaraju Venkatesan
language : en
Publisher: JEC PUBLICATION
Release Date :
A Textbook On Artificial Intelligence In Precision Medicine Drug Development And Healthcare written by Dr.Krishnaraju Venkatesan and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medical categories.
I would like to take this opportunity to expose you to the topic of "Artificial Intelligence in Precision Medicine, Drug Development, and Healthcare." Artificial intelligence (AI) is one of the most revolutionary forces that will shape the future of medicine and healthcare delivery, and this book is a comprehensive investigation of that force. In recent years, artificial intelligence has emerged as a strong technology that has the ability to revolutionise every area of the healthcare ecosystem. This includes personalized treatment plans, medication discovery and development, and even the delivery of healthcare services. At the convergence of artificial intelligence and precision medicine lies the potential of healthcare solutions that are more effective, efficient, and equitable, and that are personalized to the specific requirements of each individual patient. The purpose of this book is to take us on a trip to reveal the intricacies of artificial intelligence in the healthcare industry by investigating its applications, problems, and ethical implications. In this article, we delve into the complexities of precision medicine, which is using artificial intelligence to provide clinicians with insights that enable them to give customised treatments based on a patient's unique genetic composition, lifestyle characteristics, and environmental impacts. In addition, we investigate the role that artificial intelligence plays in the process of drug discovery and development. This is a process in which sophisticated algorithms and machine learning models speed up the process of identifying innovative drug candidates, optimise the design of clinical trials, and improve the safety and effectiveness of pharmaceutical interventions. A new era of innovation is being ushered in by artificial intelligence, which is transforming the landscape of the pharmaceutical sector in a variety of ways, including medication repurposing and predictive modelling of drug toxicity.
Artificial Intelligence For Drug Development Precision Medicine And Healthcare
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Author : Mark Chang
language : en
Publisher: CRC Press
Release Date : 2020-05-12
Artificial Intelligence For Drug Development Precision Medicine And Healthcare written by Mark Chang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Business & Economics categories.
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.
Artificial Intelligence And Machine Learning In Healthcare
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Author : Ankur Saxena
language : en
Publisher: Springer Nature
Release Date : 2021-05-06
Artificial Intelligence And Machine Learning In Healthcare written by Ankur Saxena and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-06 with Science categories.
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.
Artificial Intelligence In Healthcare
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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
Precision Medicine And Artificial Intelligence
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Author : Michael Mahler
language : en
Publisher: Elsevier
Release Date : 2021-03-17
Precision Medicine And Artificial Intelligence written by Michael Mahler and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Medical categories.
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
A Handbook Of Artificial Intelligence In Drug Delivery
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Author : Anil K. Philip
language : en
Publisher: Elsevier
Release Date : 2023-03-29
A Handbook Of Artificial Intelligence In Drug Delivery written by Anil K. Philip and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-29 with Business & Economics categories.
A Handbook of Artificial Intelligence in Drug Delivery explores the use of Artificial Intelligence (AI) in drug delivery strategies. The book covers pharmaceutical AI and drug discovery challenges, Artificial Intelligence tools for drug research, AI enabled intelligent drug delivery systems and next generation novel therapeutics, broad utility of AI for designing novel micro/nanosystems for drug delivery, AI driven personalized medicine and Gene therapy, 3D Organ printing and tissue engineering, Advanced nanosystems based on AI principles (nanorobots, nanomachines), opportunities and challenges using artificial intelligence in ADME/Tox in drug development, commercialization and regulatory perspectives, ethics in AI, and more. This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies. Focuses on the use of Artificial Intelligence in drug delivery strategies and future impacts Provides insights into how artificial intelligence can be effectively used for the development of advanced drug delivery systems Written by experts in the field of advanced drug delivery systems and digital health
The Oxford Handbook Of Ethics Of Ai
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Author : Markus Dirk Dubber
language : en
Publisher:
Release Date : 2020
The Oxford Handbook Of Ethics Of Ai written by Markus Dirk Dubber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Business & Economics categories.
This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.
Textbook Of Computer Aided Drug Development
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Author : Dr. Dinesh Kaushik, Mr. Kunal Kaushik
language : en
Publisher: Shashwat Publication
Release Date : 2024-11-16
Textbook Of Computer Aided Drug Development written by Dr. Dinesh Kaushik, Mr. Kunal Kaushik and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Medical categories.
This book delves into the utilization of computer-assisted techniques in the exploration, design, optimization, and production of novel pharmaceutical formulations and drug delivery systems, with a focus on their efficacy and safety. It covers computational methods, statistical and molecular modeling, all aimed at facilitating the development and safe administration of drugs in humans. The integration of Quality by Design (QbD), Design of Experiments (DoE), artificial intelligence, and in silico pharmacokinetic assessment/simulation is greatly facilitated by commercial software and expert systems, all of which are thoroughly examined in this title, accompanied by examples drawn from recent research. Furthermore, this book bridges the gap between pharmaceutics and molecular modeling across various scales (micro, meso, and macro) by addressing topics such as advancements in computer-aided Drug Design (CADD), drug-polymer interactions in drug delivery systems, molecular modeling of nanoparticles, and the intersection of pharmaceutics with bioinformatics. Abundant examples, case studies, and illustrations showcasing the applications of computers in formulation design and characterization are provided. Additionally, the book includes concise reviews of software, databases, and expert systems, further piquing the interest of readers in novel applications in formulation development and drug delivery.
Artificial Intelligence In Oncology Drug Discovery And Development
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Author : John Cassidy
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-09-09
Artificial Intelligence In Oncology Drug Discovery And Development written by John Cassidy 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 2020-09-09 with Medical categories.
There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.
Evaluation Of Quality In Health Care For Dnps Third Edition
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Author : Joanne V. Hickey
language : en
Publisher: Springer Publishing Company
Release Date : 2021-07-06
Evaluation Of Quality In Health Care For Dnps Third Edition written by Joanne V. Hickey and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-06 with Medical categories.
Now in its third edition, this award-winning text work is the only advanced practice nursing text to present effective, systematic, and in-depth evaluations of all aspects of health care quality. Comprehensive in scope, it distills best practice information from numerous sources to facilitate utmost competency for APN and DNP graduates. The third edition keeps pace with the rapidly evolving healthcare market by presenting a more comprehensive range of evaluation strategies for analyzing quality, safety, and value in healthcare practice and programs. It provides a completely new chapter on evaluation of simulation programs to improve clinician competency and patient care technology. An increased focus on the application of quality improvement is woven throughout, including the quality improvement-research continuum and an emphasis on interdisciplinary collaboration and teamwork. New case studies, specific examples from a variety of QI projects, and content specifically geared to improve teamwork also add to the book’s outstanding value. The text also delves into the theoretical basis of evaluation and its application as an integral part of contemporary practice. It includes evaluation models that enable nurses to address economic and financial viability, and guides readers through the translation of outcomes from evaluation into health care policy. Additionally, the text now includes PowerPoints for instructors. New to the Third Edition: New chapter: Evaluation of Simulation to Support Ongoing Competency in the HC Workforce Additional case studies and specific examples from QI projects Increased focus on teamwork and collaboration Enhanced discussion of theoretical foundations of evaluation approaches New focus on program evaluation and dissemination of findings Key Features: Addresses AACN competencies and scope of practice Helps students integrate best and evidence-based practices into care Provides guidance on practical methods and tools for Quality Improvement Project Presents evaluation models enabling nurses to address economic and financial viability Includes evaluations of organizations, systems, standards for practice, health care redesign, and the challenges of electronic medical records