Artificial Intelligence for Drug Development Precision Medicine and Healthcare

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.

Produk Detail:

  • Author : Mark Chang
  • Publisher : CRC Press
  • Pages : 352 pages
  • ISBN : 1000767302
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKArtificial Intelligence for Drug Development Precision Medicine and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
  • Author : Mark Chang
  • Publisher : CRC Press
  • Release : 12 May 2020
GET THIS BOOKArtificial Intelligence for Drug Development, Precision Medicine, and Healthcare

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

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
  • Author : Debmalya Barh
  • Publisher : Academic Press
  • Release : 04 March 2020
GET THIS BOOKArtificial Intelligence in Precision Health

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

Precision Medicine and Artificial Intelligence

Precision Medicine and Artificial Intelligence
  • Author : Michael Mahler
  • Publisher : Academic Press
  • Release : 01 April 2021
GET THIS BOOKPrecision Medicine and Artificial Intelligence

Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity 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

Precision Medicine in Cancer Therapy

Precision Medicine in Cancer Therapy
  • Author : Daniel D. Von Hoff,Haiyong Han
  • Publisher : Springer
  • Release : 17 June 2019
GET THIS BOOKPrecision Medicine in Cancer Therapy

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

Frontiers in Psychiatry

Frontiers in Psychiatry
  • Author : Yong-Ku Kim
  • Publisher : Springer Nature
  • Release : 09 November 2019
GET THIS BOOKFrontiers in Psychiatry

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

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
  • Publisher : Springer Nature
  • Release : 29 November 2019
GET THIS BOOKP5 eHealth: An Agenda for the Health Technologies of the Future

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

Precision Health and Medicine

Precision Health and Medicine
  • Author : Arash Shaban-Nejad,Martin Michalowski
  • Publisher : Springer
  • Release : 01 August 2019
GET THIS BOOKPrecision Health and Medicine

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

Companion and Complementary Diagnostics

Companion and Complementary Diagnostics
  • Author : Jan Trøst Jørgensen
  • Publisher : Academic Press
  • Release : 08 May 2019
GET THIS BOOKCompanion and Complementary Diagnostics

Companion and Complementary Diagnostics: From Biomarker Discovery to Clinical Implementation provides readers with in-depth insights into the individual steps in the development of companion diagnostic assays, from the early biomarker discovery phase straight through to final regulatory approval. Further, the clinical implementation of companion diagnostic testing in the clinic is also discussed. As the development of predictive or selective biomarker assays linked to specific drugs is substantially increasing, this book offers comprehensive information on this quickly-evolving area of biomedicine. It

Artificial Intelligence and Deep Learning in Pathology E-Book

Artificial Intelligence and Deep Learning in Pathology E-Book
  • Author : Stanley Cohen
  • Publisher : Elsevier Health Sciences
  • Release : 02 June 2020
GET THIS BOOKArtificial Intelligence and Deep Learning in Pathology E-Book

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

Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine
  • Author : Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
  • Publisher : Academic Press
  • Release : 20 November 2020
GET THIS BOOKMachine Learning in Cardiovascular Medicine

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

Deep Medicine

Deep Medicine
  • Author : Eric Topol
  • Publisher : Basic Books
  • Release : 12 March 2019
GET THIS BOOKDeep Medicine

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

Precision Medicine in Oncology

Precision Medicine in Oncology
  • Author : Bulent Aydogan,James A. Radosevich
  • Publisher : John Wiley & Sons
  • Release : 11 August 2020
GET THIS BOOKPrecision Medicine in Oncology

A FRESH EXAMINATION OF PRECISION MEDICINE'S INCREASINGLY PROMINENT ROLE IN THE FIELD OF ONCOLOGY Precision medicine takes into account each patient's specific characteristics and requirements to arrive at treatment plans that are optimized towards the best possible outcome. As the field of oncology continues to advance, this tailored approach is becoming more and more prevalent, channelling data on genomics, proteomics, metabolomics and other areas into new and innovative methods of practice. Precision Medicine in Oncology draws together the essential research

Precision Medicine for Investigators, Practitioners and Providers

Precision Medicine for Investigators, Practitioners and Providers
  • Author : Joel Faintuch,Salomao Faintuch
  • Publisher : Academic Press
  • Release : 16 November 2019
GET THIS BOOKPrecision Medicine for Investigators, Practitioners and Providers

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

The CTSA Program at NIH

The CTSA Program at NIH
  • Author : Institute of Medicine,Board on Health Sciences Policy,Committee to Review the Clinical and Translational Science Awards Program at the National Center for Advancing Translational Sciences
  • Publisher : National Academies Press
  • Release : 09 October 2013
GET THIS BOOKThe CTSA Program at NIH

In 2006 the National Institutes of Health (NIH) established the Clinical and Translational Science Awards (CTSA) Program, recognizing the need for a new impetus to encourage clinical and translational research. At the time it was very difficult to translate basic and clinical research into clinical and community practice; making it difficult for individual patients and communities to receive its benefits. Since its creation the CTSA Program has expanded, with 61 sites spread across the nation's academic health centers and other institutions, hoping