Artificial Intelligence for Drug Development Precision Medicine and Healthcare

Artificial Intelligence for Drug Development  Precision Medicine  and Healthcare
Author: Mark Chang
Publsiher: CRC Press
Total Pages: 352
Release: 2020-05-12
ISBN 10: 1000767302
ISBN 13: 9781000767308
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Drug Development Precision Medicine and Healthcare Book Review:

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.

Precision Medicine and Artificial Intelligence

Precision Medicine and Artificial Intelligence
Author: Michael Mähler
Publsiher: Academic Press
Total Pages: 316
Release: 2021-04-01
ISBN 10: 032385432X
ISBN 13: 9780323854320
Language: EN, FR, DE, ES & NL

Precision Medicine and Artificial Intelligence Book Review:

Precision Medicine and Artificial Intelligence: The Perfect Fit covers background on AI, its link to PM, and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as artificial intelligence (AI) has gained significant attention in the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems has enabled the generation of large amounts of data, making autoimmunity an ideal target for AI in the field of Precision Medicine (PM). 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 data sets 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 get a good overview of the field of Precision Medicine for autoimmune diseases and Artificial Intelligence Provides background, milestone and examples of precision medicine for autoimmune disease and artificial intelligence Proves the paradigm shift towards precision medicine driven by value based systems Discusses future applications of precision medicine research using artificial intelligence

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
Author: Debmalya Barh
Publsiher: Academic Press
Total Pages: 544
Release: 2020-03-04
ISBN 10: 0128173386
ISBN 13: 9780128173381
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Precision Health Book Review:

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Symposium on Artificial Intelligence

Symposium on Artificial Intelligence
Author: Anonim
Publsiher: Anonim
Total Pages: 23
Release: 2018
ISBN 10: 9781988886336
ISBN 13: 1988886333
Language: EN, FR, DE, ES & NL

Symposium on Artificial Intelligence Book Review:

Frontiers in Psychiatry

Frontiers in Psychiatry
Author: Yong-Ku Kim
Publsiher: Springer Nature
Total Pages: 641
Release: 2019-11-09
ISBN 10: 9813297212
ISBN 13: 9789813297210
Language: EN, FR, DE, ES & NL

Frontiers in Psychiatry Book Review:

This book reviews key recent advances and new frontiers within psychiatric research and clinical practice. These advances either represent or are enabling paradigm shifts in the discipline and are influencing how we observe, derive and test hypotheses, and intervene. Progress in information technology is allowing the collection of scattered, fragmented data and the discovery of hidden meanings from stored data, and the impacts on psychiatry are fully explored. Detailed attention is also paid to the applications of artificial intelligence, machine learning, and data science technology in psychiatry and to their role in the development of new hypotheses, which in turn promise to lead to new discoveries and treatments. Emerging research methods for precision medicine are discussed, as are a variety of novel theoretical frameworks for research, such as theoretical psychiatry, the developmental approach to the definition of psychopathology, and the theory of constructed emotion. The concluding section considers novel interventions and treatment avenues, including psychobiotics, the use of neuromodulation to augment cognitive control of emotion, and the role of the telomere-telomerase system in psychopharmacological interventions.

Precision Medicine for Investigators Practitioners and Providers

Precision Medicine for Investigators  Practitioners and Providers
Author: Joel Faintuch,Salomao Faintuch
Publsiher: Academic Press
Total Pages: 640
Release: 2019-11-16
ISBN 10: 0128191791
ISBN 13: 9780128191798
Language: EN, FR, DE, ES & NL

Precision Medicine for Investigators Practitioners and Providers Book Review:

Precision Medicine for Investigators, Practitioners and Providers addresses the needs of investigators by covering the topic as an umbrella concept, from new drug trials to wearable diagnostic devices, and from pediatrics to psychiatry in a manner that is up-to-date and authoritative. Sections include broad coverage of concerning disease groups and ancillary information about techniques, resources and consequences. Moreover, each chapter follows a structured blueprint, so that multiple, essential items are not overlooked. Instead of simply concentrating on a limited number of extensive and pedantic coverages, scholarly diagrams are also included. Provides a three-pronged approach to precision medicine that is focused on investigators, practitioners and healthcare providers Covers disease groups and ancillary information about techniques, resources and consequences Follows a structured blueprint, ensuring essential chapters items are not overlooked

Precision Medicine in Cancer Therapy

Precision Medicine in Cancer Therapy
Author: Daniel D. Von Hoff,Haiyong Han
Publsiher: Springer
Total Pages: 283
Release: 2019-06-17
ISBN 10: 3030163911
ISBN 13: 9783030163914
Language: EN, FR, DE, ES & NL

Precision Medicine in Cancer Therapy Book Review:

This book presents the latest advances in precision medicine in some of the most common cancer types, including hematological, lung and breast malignancies. It also discusses emerging technologies that are making a significant impact on precision medicine in cancer therapy. In addition to describing specific approaches that have already entered clinical practice, the book explores new concepts and tools that are being developed. Precision medicine aims to deliver personalized healthcare tailored to a patient’s genetics, lifestyle and environment, and cancer therapy is one of the areas in which it has flourished in recent years. Documenting the latest advances, this book is of interest to physicians and clinical fellows in the front line of the war on cancer, as well as to basic scientists working in the fields of cancer biology, drug development, biomarker discovery, and biomedical engineering. The contributing authors include translational physicians with first-hand experience in precision patient care.

Precision Health and Medicine

Precision Health and Medicine
Author: Arash Shaban-Nejad,Martin Michalowski
Publsiher: Springer
Total Pages: 197
Release: 2019-08-01
ISBN 10: 3030244091
ISBN 13: 9783030244095
Language: EN, FR, DE, ES & NL

Precision Health and Medicine Book Review:

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Deep Medicine

Deep Medicine
Author: Eric Topol
Publsiher: Basic Books
Total Pages: 400
Release: 2019-03-12
ISBN 10: 1541644646
ISBN 13: 9781541644649
Language: EN, FR, DE, ES & NL

Deep Medicine Book Review:

One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

P5 eHealth An Agenda for the Health Technologies of the Future

P5 eHealth  An Agenda for the Health Technologies of the Future
Author: Gabriella Pravettoni,Stefano Triberti
Publsiher: Springer Nature
Total Pages: 189
Release: 2019-11-29
ISBN 10: 3030279944
ISBN 13: 9783030279943
Language: EN, FR, DE, ES & NL

P5 eHealth An Agenda for the Health Technologies of the Future Book Review:

This open access volume focuses on the development of a P5 eHealth, or better, a methodological resource for developing the health technologies of the future, based on patients’ personal characteristics and needs as the fundamental guidelines for design. It provides practical guidelines and evidence based examples on how to design, implement, use and elevate new technologies for healthcare to support the management of incurable, chronic conditions. The volume further discusses the criticalities of eHealth, why it is difficult to employ eHealth from an organizational point of view or why patients do not always accept the technology, and how eHealth interventions can be improved in the future. By dealing with the state-of-the-art in eHealth technologies, this volume is of great interest to researchers in the field of physical and mental healthcare, psychologists, stakeholders and policymakers as well as technology developers working in the healthcare sector.

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
Author: Tao Zeng,Tao Huang,Chuan Lu
Publsiher: Frontiers Media SA
Total Pages: 329
Release: 2020-03-30
ISBN 10: 2889635546
ISBN 13: 9782889635542
Language: EN, FR, DE, ES & NL

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine Book Review:

Precision Medicine for Autoimmune Diseases

Precision Medicine for Autoimmune Diseases
Author: Georg Lautscham
Publsiher: Academic Press
Total Pages: 366
Release: 2020-09-01
ISBN 10: 0128227656
ISBN 13: 9780128227657
Language: EN, FR, DE, ES & NL

Precision Medicine for Autoimmune Diseases Book Review:

Autoimmune diseases have significant economic and social impacts and represent the second-most important market for pharmaceutical companies, which is unsurprising when you consider that, while 1 in 33 American will suffer from cancer, 1 in 22 Americans will suffer from an autoimmune disease, costing the US over $ 100 billion a year. However, the uptake of precision medicine in this area has been slow at best, even though it can be extremely difficult to accurately diagnose and treat patients effectively using the tools that are currently available. If the adoption of precision medicine is to truly gather pace among diseases outside of cancer, there are still several regulatory, technological, and funding-related hurdles to be overcome. Taking lessons learned from within the field of oncology and systematically applying them to areas such as autoimmune disease will enable the development of more effective drugs across a wider range of illnesses. Most importantly, this will lead to a better outcome for patients. Precision Medicine for Autoimmune Diseases summarizes the status, the ongoing activities and provides an outlook to the future. Addresses the fact that only one drug to treat autoimmune diseases was approved by FDA Shows the need to pick up and establish the need of personalized and precision medicine for autoimmune diseases Provides insight on how novel therapies, novel diagnostics and artificial intelligence work better together to advance the field of precision medicine in Autoimmune diseases Helps to establish a precision medicine approach for the benefit of patients, payers and industry

Intelligence Based Medicine

Intelligence Based Medicine
Author: Anthony C. Chang
Publsiher: Academic Press
Total Pages: 534
Release: 2020-06-27
ISBN 10: 0128233389
ISBN 13: 9780128233382
Language: EN, FR, DE, ES & NL

Intelligence Based Medicine Book Review:

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare

Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine
Author: Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
Publsiher: Academic Press
Total Pages: 454
Release: 2020-11-20
ISBN 10: 0128202742
ISBN 13: 9780128202746
Language: EN, FR, DE, ES & NL

Machine Learning in Cardiovascular Medicine Book Review:

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Genetics and Genomics of Eye Disease

Genetics and Genomics of Eye Disease
Author: Xiaoyi Raymond Gao
Publsiher: Academic Press
Total Pages: 383
Release: 2019-09-12
ISBN 10: 0128167270
ISBN 13: 9780128167274
Language: EN, FR, DE, ES & NL

Genetics and Genomics of Eye Disease Book Review:

Genetics and Genomics of Eye Disease: Advancing to Precision Medicine thoroughly examines the latest genomics methods for studying eye disease, including complex eye disorders associated with multiple genes. GWAS, WES, WGS, RNA-sequencing, and transcriptome analysis as employed in ocular genomics are discussed in-depth, as are genomics findings tied to early-onset glaucoma, strabismus, age-related macular degeneration, adult-onset glaucoma, diabetic retinopathy, keratoconus, and leber congenital amaurosis, among other diseases. Research and clinical specialists offer guidance on conducting preventative screenings and counseling patients, as well as the promise of machine learning, computational statistics and artificial intelligence in advancing ocular genomics research. Offers thorough guidance on conducting genetic and genomic studies of eye disease Examines the genetic basis of a wide range of complex eye diseases and single-gene and Mendelian disorders Discusses the application of genetic testing and genetic risk prediction in eye disease diagnosis and patient counseling

Artificial Intelligence and Deep Learning in Pathology E Book

Artificial Intelligence and Deep Learning in Pathology E Book
Author: Stanley Cohen
Publsiher: Elsevier Health Sciences
Total Pages: 288
Release: 2020-06-02
ISBN 10: 0323675379
ISBN 13: 9780323675376
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Deep Learning in Pathology E Book Book Review:

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
Author: Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Publsiher: CRC Press
Total Pages: 210
Release: 2017-02-15
ISBN 10: 1315389304
ISBN 13: 9781315389301
Language: EN, FR, DE, ES & NL

Demystifying Big Data and Machine Learning for Healthcare Book Review:

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Personalizing Precision Medicine

Personalizing Precision Medicine
Author: Kristin Ciriello Pothier
Publsiher: John Wiley & Sons
Total Pages: 272
Release: 2017-08-30
ISBN 10: 1118792122
ISBN 13: 9781118792124
Language: EN, FR, DE, ES & NL

Personalizing Precision Medicine Book Review:

The author uses decades of experience and interviews with experts in precision medicine to explain past, present, and future of precision medicine. She reviews the full continuum of personalizing precision medicine, including diagnostics, therapeutics, big data, supportive care, regulation, and reimbursement and innovation in precision medicine worldwide. • Combines a unique cross section of history, current technologies, and future directions for how precision medicine has and will affect people worldwide • Reviews precision medicine around the world, including the US, China, Japan, the Middle East, India, Europe, and Latin America • Discusses a number of diseases areas – cancer, cardiovascular, neurodegenerative, infectious disease, pain, immunology, rare diseases • Includes information and quotes from over 100 interviews with key industry experts in biotech, pharma, informatics, diagnostics, health providers, advocacy groups, and more. • Includes stories illustrating current issues and future promises in precision medicine for a human touch

Artificial Intelligence In Medicine

Artificial Intelligence In Medicine
Author: Peter Szolovits
Publsiher: Routledge
Total Pages: 226
Release: 2019-03-13
ISBN 10: 0429728468
ISBN 13: 9780429728464
Language: EN, FR, DE, ES & NL

Artificial Intelligence In Medicine Book Review:

This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care. An introductory chapter describes the historical and technical foundations of the work and provides an overview of the current state of the art and research directions. The authors then describe four prototype computer programs that tackle difficult clinical problems in a manner similar to that of an expert physician. The programs presented are internist, a diagnostic aid that combines a large database of disease/manifestation associations with techniques for problem formulation; expert and the Glaucoma Program which use physiological models for the diagnosis and treatment of eye disease; mycin, a rule-based program for diagnosis and therapy selection for infectious diseases; and the Digitalis Therapy Advisor, which aids the physician in prescribing the right dose of the drug digitalis and also explains its actions.

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing
Author: Le Lu,Yefeng Zheng,Gustavo Carneiro,Lin Yang
Publsiher: Springer
Total Pages: 326
Release: 2017-07-12
ISBN 10: 331942999X
ISBN 13: 9783319429991
Language: EN, FR, DE, ES & NL

Deep Learning and Convolutional Neural Networks for Medical Image Computing Book Review:

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.