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In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future, Hilbush Brian


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Цена: 5542.00р.
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Автор: Hilbush Brian
Название:  In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future
ISBN: 9781119745570
Издательство: Wiley
Классификация:




ISBN-10: 1119745578
Обложка/Формат: Paperback
Вес: 0.67 кг.
Дата издания: 14.07.2021
Язык: English
Размер: 223 x 149 x 23
Читательская аудитория: Professional & vocational
Подзаголовок: How artificial intelligence and biotechnology will create the medicines of the future
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

Learn how AI and data science are upending the worlds of biology and medicine

In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. Accomplished genomics expert, executive, and author Brian Hilbush offers readers a brilliant exploration of the most current work of pioneering tech giants and biotechnology startups who have already started disrupting healthcare. The book provides an in-depth understanding of the sources of innovation that are driving the shift in the pharmaceutical industry away from serendipitous therapeutic discovery and toward engineered medicines and curative therapies.

In this fascinating book, youll discover:

  • An overview of the rise of data science methods and the paradigm shift in biology that led to the in silico revolution
  • An outline of the fundamental breakthroughs in AI and deep learning and their applications across medicine
  • A compelling argument for the notion that AI and biotechnology tools will rapidly accelerate the development of therapeutics
  • A summary of innovative breakthroughs in biotechnology with a focus on gene editing and cell reprogramming technologies for therapeutic development
  • A guide to the startup landscape in AI in medicine, revealing where investments are poised to shape the innovation base for the pharmaceutical industry

Perfect for anyone with an interest in scientific topics and technology, In Silico Dreams also belongs on the bookshelves of decision-makers in a wide range of industries, including healthcare, technology, venture capital, and government.




Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions

Автор: Parmanand Astya, Prasenjit Chatterjee, Sudeshna Chakraborty
Название: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
ISBN: 1685074499 ISBN-13(EAN): 9781685074494
Издательство: Nova Science
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Цена: 22491.00 р.
Наличие на складе: Невозможна поставка.

Описание: Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organisations thoughtfully apply machine learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise.

Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilising well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data.

Transhumanism: A Realistic Future?

Автор: Fillard Jean-pierre
Название: Transhumanism: A Realistic Future?
ISBN: 9811212104 ISBN-13(EAN): 9789811212109
Издательство: World Scientific Publishing
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Цена: 5544.00 р.
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Описание:

Transhuman, or trans-human, is the concept of an intermediary form between human and posthuman. In other words, a transhuman is a being that resembles a human in most respects but who has powers and abilities beyond those of standard humans. These abilities might include improved intelligence, awareness, strength, or durability. Transhumans sometimes appear in science-fiction as cyborgs or genetically-enhanced humans.

This book will look into the question "Can machines think?" followed by "Can humans extend their lifespan and keep up with machines?" In other words, do we (humans) have to modify ourselves to be bionic humans, to co-exist and make the most of machines in future?

Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry: Ongoing Applications, Perspectives and Future Trends

Автор: Colla Valentina, Pietrosanti Costanzo
Название: Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry: Ongoing Applications, Perspectives and Future Trends
ISBN: 303069366X ISBN-13(EAN): 9783030693664
Издательство: Springer
Цена: 23757.00 р.
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Описание: This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector.

The Future of Work: Robots, Ai, and Automation

Автор: West Darrell M.
Название: The Future of Work: Robots, Ai, and Automation
ISBN: 0815737866 ISBN-13(EAN): 9780815737865
Издательство: Mare Nostrum (Eurospan)
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Цена: 2911.00 р.
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Описание: Looking for ways to handle the transition to a digital economy. Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today.

Автор: Gurjit Kaur, Prabhjot Singh
Название: Emerging Technologies for the Prediction and Mitigation of Future Pandemics and Global Crises
ISBN: 1799869334 ISBN-13(EAN): 9781799869337
Издательство: Mare Nostrum (Eurospan)
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Цена: 42134.00 р.
Наличие на складе: Нет в наличии.

Описание: Technology cannot prevent the onset of pandemics; however, it can help prevent the spread, educate, warn, and empower those on the ground to be aware of the situation, and noticeably lessen the impact. This book explores digital technologies that can help in global crises.

Managing and Adapting Library Information Services for Future Users

Автор: Nkem Ekene Osuigwe
Название: Managing and Adapting Library Information Services for Future Users
ISBN: 1799811174 ISBN-13(EAN): 9781799811176
Издательство: Mare Nostrum (Eurospan)
Цена: 20513.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Information in today's modernized world has become much more attainable with the use of technology. A resource that has fallen victim to this are library services. What was once a staple of knowledge and communication has failed to keep pace with recent advancements in information service providers. Library practitioners need to learn how to manage change, build influence, and adapt their services to remain relevant within local communities. Libraries can continue to play a key role in future aspects of information provision, but proper research is a necessity. Managing and Adapting Library Information Services for Future Users is a collection of innovative research that encapsulates practices, concepts, ideas, and proposals that would chart pathways for libraries of all types to envision and understand how to thrive and remain relevant in the competitive information provision environment. It is expected to motivate librarians and information scientists to probe further into how libraries would better serve user communities of the 21st century who have options of accessing information from sources other than from libraries. While highlighting topics including artificial intelligence, human design thinking, and alternative finance, this book is ideally designed for librarians, information specialists, architects, data scientists, researchers, community development practitioners, policymakers, faculty members, and students seeking current research on emerging advancements in library optimization.

Emerging Extended Reality Technologies for Industry 4.0: Early Experiences with Conception, Design, Implementation, Evaluation and Deployment

Автор: Jolanda G. Tromp, Dac–Nhuong Le, Chung Van Le
Название: Emerging Extended Reality Technologies for Industry 4.0: Early Experiences with Conception, Design, Implementation, Evaluation and Deployment
ISBN: 1119654637 ISBN-13(EAN): 9781119654636
Издательство: Wiley
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Цена: 28979.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In the fast-developing world of Industry 4.0, which combines Extended Reality (XR) technologies, such as Virtual Reality (VR) and Augmented Reality (AR), creating location aware applications to interact with smart objects and smart processes via Cloud Computing strategies enabled with Artificial Intelligence (AI) and the Internet of Things (IoT), factories and processes can be automated and machines can be enabled with self-monitoring capabilities. Smart objects are given the ability to analyze and communicate with each other and their human co-workers, delivering the opportunity for much smoother processes, and freeing up workers for other tasks. Industry 4.0 enabled smart objects can be monitored, designed, tested and controlled via their digital twins, and these processes and controls are visualized in VR/AR.

The Industry 4.0 technologies provide powerful, largely unexplored application areas that will revolutionize the way we work, collaborate and live our lives. It is important to understand the opportunities and impact of the new technologies and the effects from a production, safety and societal point of view.

Artificial Intelligence in Biotechnology

Автор: Preethi Kartan
Название: Artificial Intelligence in Biotechnology
ISBN: 177407785X ISBN-13(EAN): 9781774077856
Издательство: Mare Nostrum (Eurospan)
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Цена: 22730.00 р.
Наличие на складе: Нет в наличии.

Описание: Today it is practically not possible to carry out research in biotechnology without utilising data available in public and private databases and artificial intelligence to analyse data. This book describes advancements and application of AI in the field of biotechnology.

Minding the Future: Artificial Intelligence, Philosophical Visions and Science Fiction

Автор: Dainton Barry, Slocombe Will, Tanyi Attila
Название: Minding the Future: Artificial Intelligence, Philosophical Visions and Science Fiction
ISBN: 3030642682 ISBN-13(EAN): 9783030642686
Издательство: Springer
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Цена: 5309.00 р.
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Описание: Murder seems to follow young Tommy McBride everywhere. Only five years after the death of his family, a freak accident on a sheep station sends him fleeing into the wilderness of the Australian outback, the station overseer lying dead behind him with his head smashed on a rock. But Tommy is haunted by more than the death of his family - both he and his brother Billy witnessed a vicious state-sanctioned massacre of the Kurrong people, and they havent seen each other since.When an official inquiry is launched into the slaughter, the successful life that Billy has built for himself is under threat. He desperately needs to find his brother, long

Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0

Автор: Dac–Nhuong Le, Chung Van Le, Jolanda G. Tromp, Gia
Название: Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0
ISBN: 1119509815 ISBN-13(EAN): 9781119509813
Издательство: Wiley
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Цена: 28979.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.

With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.

This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.

The groundbreaking book presents state-of-the-art chapters on many subjects including:

  • A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
  • A review of current augmenting dental care
  • An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
  • A review of telemedicine technologies
  • Building empathy in young children using augmented reality
  • AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
  • Mobile doctor brain AI App
  • An artificial intelligence mobile cloud computing tool
  • Development of a robotic teaching aid for disabled children
  • Training system design of lower limb rehabilitation robot based on virtual reality
Analyzing future applications of ai, sensors, and robotics in society

Автор: Thomas Heinrich Musiolik, Adrian David Cheok
Название: Analyzing future applications of ai, sensors, and robotics in society
ISBN: 1799835006 ISBN-13(EAN): 9781799835004
Издательство: Mare Nostrum (Eurospan)
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Цена: 22869.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. The book includes coverage on a broad range of topics, such as neuronal networks, cognitive computing, and e-health.

Machine Learning for Future Wireless Communications

Автор: Fa–Long Luo
Название: Machine Learning for Future Wireless Communications
ISBN: 1119562252 ISBN-13(EAN): 9781119562252
Издательство: Wiley
Рейтинг:
Цена: 18683.00 р.
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Описание:

A comprehensive review to the theory, application and research of machine learning for future wireless communications

In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities.

Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author - a noted expert on the topic - covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource:

  • Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks
  • Covers a range of topics from architecture and optimization to adaptive resource allocations
  • Reviews state-of-the-art machine learning based solutions for network coverage
  • Includes an overview of the applications of machine learning algorithms in future wireless networks
  • Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing

Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.


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