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Home In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future - Paperback
In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future
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In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future - Paperback

Original price $45.00 - Original price $45.00
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SKU 9781119745570
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by Brian S. Hilbush (Author)

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, you'll 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.

Front Jacket

Discover the latest AI breakthroughs in biotech, pharmaceuticals, and more

As we speak, the worlds of artificial intelligence and biotechnology are colliding. And as our new technological capabilities accelerate the pace of biological discovery and disrupt the pharmaceutical industry, powerful and exciting new medicines are reaching the marketplace.

In Silico Dreams explores the causes, consequences, and future potential of this unpredictable synthesis of tech and medicine. After exploring the paradigm shift that transformed biology from a largely experimental field to one that focused on data science methods, the author moves on to the foundational breakthroughs in AI and deep learning that enabled the application of those technologies to medicine and healthcare.

You'll also learn about why technology companies entered the healthcare field and find out how the early pioneering work of tech giants and biotech startups in AI led to significant developments in healthcare, clinical diagnostics, and drug discovery.

The author discusses how the continuing collaboration between AI and biotechnology will drive the development of new approaches and products that help humans understand and treat disease. And, finally, you'll learn what implications this rapid evolution in medicine has for societies and cultures writ large.

  • Explore the paradigm shift in biology from experiments to data science
  • Discover fundamental breakthroughs in AI and deep learning
  • Understand precision medicines and how they're created
  • Learn why the tech sector has set its sights on healthcare
  • Examine the potential of gene editing and cell reprogramming
  • Find out how AI is currently being deployed in healthcare

Author Biography

BRIAN HILBUSH, PhD, is Director, IT Advanced Analytics and Data Solutions at Veranome Biosystems. He received his doctorate in Neuroscience from Stony Brook University and has over three decades of experience in computational biology, genomics, drug discovery, data science, and artificial intelligence.

Number of Pages: 352
Dimensions: 0.8 x 9 x 6 IN
Publication Date: August 31, 2021

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