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Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
A Book

by Mark Chang

  • Publisher : CRC Press
  • Release : 2020-05-12
  • Pages : 352
  • ISBN : 1000767302
  • Language : En, Es, Fr & De
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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.

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
From Concept to Applications

by Debmalya Barh

  • Publisher : Academic Press
  • Release : 2020-03-04
  • Pages : 544
  • ISBN : 0128173386
  • Language : En, Es, Fr & De
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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

Precision Medicine and Artificial Intelligence

Precision Medicine and Artificial Intelligence
The Perfect Fit

by Michael Mähler

  • Publisher : Academic Press
  • Release : 2021-04-01
  • Pages : 316
  • ISBN : 032385432X
  • Language : En, Es, Fr & De
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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

Frontiers in Psychiatry

Frontiers in Psychiatry
Artificial Intelligence, Precision Medicine, and Other Paradigm Shifts

by Yong-Ku Kim

  • Publisher : Springer Nature
  • Release : 2019-11-09
  • Pages : 641
  • ISBN : 9813297212
  • Language : En, Es, Fr & De
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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
A Book

by Joel Faintuch,Salomao Faintuch

  • Publisher : Academic Press
  • Release : 2019-11-16
  • Pages : 640
  • ISBN : 0128191791
  • Language : En, Es, Fr & De
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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

Symposium on Artificial Intelligence

Symposium on Artificial Intelligence
Precision Medicine

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2018
  • Pages : 23
  • ISBN : 9781988886336
  • Language : En, Es, Fr & De
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Precision Medicine in Cancer Therapy

Precision Medicine in Cancer Therapy
A Book

by Daniel D. Von Hoff,Haiyong Han

  • Publisher : Springer
  • Release : 2019-06-17
  • Pages : 283
  • ISBN : 3030163911
  • Language : En, Es, Fr & De
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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.

Deep Medicine

Deep Medicine
How Artificial Intelligence Can Make Healthcare Human Again

by Eric Topol

  • Publisher : Basic Books
  • Release : 2019-03-12
  • Pages : 400
  • ISBN : 1541644646
  • Language : En, Es, Fr & De
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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.

Precision Health and Medicine

Precision Health and Medicine
A Digital Revolution in Healthcare

by Arash Shaban-Nejad,Martin Michalowski

  • Publisher : Springer
  • Release : 2019-08-01
  • Pages : 197
  • ISBN : 3030244091
  • Language : En, Es, Fr & De
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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.

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

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

by Gabriella Pravettoni,Stefano Triberti

  • Publisher : Springer Nature
  • Release : 2019-11-29
  • Pages : 189
  • ISBN : 3030279944
  • Language : En, Es, Fr & De
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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
A Book

by Tao Zeng,Tao Huang,Chuan Lu

  • Publisher : Frontiers Media SA
  • Release : 2020-03-30
  • Pages : 329
  • ISBN : 2889635546
  • Language : En, Es, Fr & De
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Intelligence-Based Medicine

Intelligence-Based Medicine
Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare

by Anthony C. Chang

  • Publisher : Academic Press
  • Release : 2020-06-27
  • Pages : 534
  • ISBN : 0128233389
  • Language : En, Es, Fr & De
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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

Precision Medicine for Autoimmune Diseases

Precision Medicine for Autoimmune Diseases
A Book

by Georg Lautscham

  • Publisher : Academic Press
  • Release : 2021-06-01
  • Pages : 366
  • ISBN : 0128227656
  • Language : En, Es, Fr & De
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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 Americans 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

Foundations of Artificial Intelligence in Healthcare and Bioscience

Foundations of Artificial Intelligence in Healthcare and Bioscience
A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians

by Louis J. Catania

  • Publisher : Academic Press
  • Release : 2020-11-25
  • Pages : 558
  • ISBN : 0323860052
  • Language : En, Es, Fr & De
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Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions Integrates a comprehensive discussion of AI applications in the business of health care Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications

Healthcare Digital Transformation

Healthcare Digital Transformation
How Consumerism, Technology and Pandemic are Accelerating the Future

by Edward W. Marx,Paddy Padmanabhan

  • Publisher : CRC Press
  • Release : 2020-08-02
  • Pages : 230
  • ISBN : 1000097757
  • Language : En, Es, Fr & De
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This book is a reference guide for healthcare executives and technology providers involved in the ongoing digital transformation of the healthcare sector. The book focuses specifically on the challenges and opportunities for health systems in their journey toward a digital future. It draws from proprietary research and public information, along with interviews with over one hundred and fifty executives in leading health systems such as Cleveland Clinic, Partners, Mayo, Kaiser, and Intermountain as well as numerous technology and retail providers. The authors explore the important role of technology and that of EHR systems, digital health innovators, and big tech firms in the ongoing digital transformation of healthcare. Importantly, the book draws on the accelerated learnings of the healthcare sector during the COVID-19 pandemic in their digital transformation efforts to adopt telehealth and virtual care models. Features of this book: Provides an understanding of the current state of digital transformation and the factors influencing the ongoing transformation of the healthcare sector. Includes interviews with executives from leading health systems. Describes the important role of emerging technologies; EHR systems, digital health innovators, and more. Includes case studies from innovative health organizations. Provides a set of templates and frameworks for developing and implementing a digital roadmap. Based on best practices from real-life examples, the book is a guidebook that provides a set of templates and frameworks for digital transformation practitioners in healthcare.

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing
Precision Medicine, High Performance and Large-Scale Datasets

by Le Lu,Yefeng Zheng,Gustavo Carneiro,Lin Yang

  • Publisher : Springer
  • Release : 2017-07-12
  • Pages : 326
  • ISBN : 331942999X
  • Language : En, Es, Fr & De
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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.

Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine
A Book

by Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas

  • Publisher : Academic Press
  • Release : 2020-11-20
  • Pages : 454
  • ISBN : 0128202742
  • Language : En, Es, Fr & De
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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

Compassionate Artificial Intelligence

Compassionate Artificial Intelligence
Frameworks and Algorithms

by Amit Ray

  • Publisher : Compassionate AI Lab (An Imprint of Inner Light Publishers)
  • Release : 2018-10-03
  • Pages : 160
  • ISBN : 9382123466
  • Language : En, Es, Fr & De
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In this book Dr. Amit Ray describes the principles, algorithms and frameworks for incorporating compassion, kindness and empathy in machine. This is a milestone book on Artificial Intelligence. Compassionate AI address the issues for creating solutions for some of the challenges the humanity is facing today, like the need for compassionate care-giving, helping physically and mentally challenged people, reducing human pain and diseases, stopping nuclear warfare, preventing mass destruction weapons, tackling terrorism and stopping the exploitation of innocent citizens by monster governments through digital surveillance. The book also talks about compassionate AI for precision medicine, new drug discovery, education, and legal system. Dr. Ray explained the DeepCompassion algorithms, five design principles and eleven key behavioral principle of compassionate AI systems. The book also explained several compassionate AI projects. Compassionate AI is the best practical guide for AI students, researchers, entrepreneurs, business leaders looking to get true value from the adoption of compassion in machine learning technology.

Artificial Intelligence and Deep Learning in Pathology E-Book

Artificial Intelligence and Deep Learning in Pathology E-Book
A Book

by Stanley Cohen

  • Publisher : Elsevier Health Sciences
  • Release : 2020-06-02
  • Pages : 288
  • ISBN : 0323675379
  • Language : En, Es, Fr & De
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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.

Artificial Intelligence In Medicine

Artificial Intelligence In Medicine
A Book

by Peter Szolovits

  • Publisher : Routledge
  • Release : 2019-03-13
  • Pages : 226
  • ISBN : 0429728468
  • Language : En, Es, Fr & De
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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.