Details

In Silico Dreams


In Silico Dreams

How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future
1. Aufl.

von: Brian S. Hilbush

28,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 27.07.2021
ISBN/EAN: 9781119745648
Sprache: englisch
Anzahl Seiten: 352

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Beschreibungen

<p><b>Learn how AI and data science are upending the worlds of biology and medicine</b></p> <p><i>In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future</i> 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.</p> <p>In this fascinating book, you'll discover:</p> <ul> <li>An overview of the rise of data science methods and the paradigm shift in biology that led to the in silico revolution</li> <li>An outline of the fundamental breakthroughs in AI and deep learning and their applications across medicine</li> <li>A compelling argument for the notion that AI and biotechnology tools will rapidly accelerate the development of therapeutics</li> <li>A summary of innovative breakthroughs in biotechnology with a focus on gene editing and cell reprogramming technologies for therapeutic development</li> <li>A guide to the startup landscape in AI in medicine, revealing where investments are poised to shape the innovation base for the pharmaceutical industry</li> </ul> <p>Perfect for anyone with an interest in scientific topics and technology, <i>In Silico Dreams</i> also belongs on the bookshelves of decision-makers in a wide range of industries, including healthcare, technology, venture capital, and government.</p>
<p>Introduction xvii</p> <p><b>Chapter 1 The Information Revolution’s Impact on Biology 1</b></p> <p>A Biological Data Avalanche at Warp Speed 5</p> <p>Tracking SARS-CoV-2 with Genomic Epidemiology 11</p> <p>Biology’s Paradigm Shift Enables <i>In Silico </i>Biology 17</p> <p>Transitions and Computation in Cancer Research 18</p> <p>Structural Biology and Genomics 24</p> <p>Sequencing the Human Genome 27</p> <p>Computational Biology in the Twenty-First Century 33</p> <p>Applications of Human Genome Sequencing 35</p> <p>Analyzing Human Genome Sequence Information 37</p> <p>Omics Technologies and Systems Biology 40</p> <p><b>Chapter 2 A New Era of Artificial Intelligence 53</b></p> <p>AI Steps Out of the Bronx 55</p> <p>From Neurons and Cats Brains to Neural Networks 58</p> <p>Machine Learning and the Deep Learning Breakthrough 66</p> <p>Deep Learning Arrives for AI 73</p> <p>Deep Neural Network Architectures 75</p> <p>Deep Learning’s Beachhead on Medicine: Medical Imaging 78</p> <p>Limitations on Artificial Intelligence 83</p> <p><b>Chapter 3 The Long Road to New Medicines 91</b></p> <p>Medicine’s Origins: The Role of Opium Since the Stone Age 96</p> <p>Industrial Manufacturing of Medicines 102</p> <p>Paul Ehrlich and the Birth of Chemotherapeutic Drug Discovery 108</p> <p>The Pharmaceutical Industry: Drugs and War—New Medicines in the Twentieth Century 112</p> <p>From Synthetic Antibiotics to the Search for New Drugs from the Microbial World 116</p> <p>Developing Therapeutics for Cancer 119</p> <p>Antifolates and the Emergence of DNA Synthesis Inhibitors 120</p> <p>Antibiotics as Cancer Chemotherapeutic Drugs 123</p> <p>Immunotherapy 125</p> <p>The Pharmaceutical Business Model in the Twenty-First Century 126</p> <p>R&D Productivity Challenges Within the Pharmaceutical Industry 131</p> <p>Sources of Pharmaceutical Innovation: Biotechnology and New Therapeutic Modalities 135</p> <p><b>Chapter 4 Gene Editing and the New Tools of Biotechnology 145</b></p> <p>Molecular Biology and Biological Information Flow 150</p> <p>Manipulating Gene Information with Recombinant DNA Technology 154</p> <p>Genetics, Gene Discovery, and Drugs for Rare Human Diseases 160</p> <p>Second-Generation Biotechnology Tools: CRISPR- Cas9 and Genome Editing Technologies 167</p> <p>Human Genome Editing and Clinical Trials 171</p> <p>Biotechnology to the Rescue: Vaccine Development Platforms Based on Messenger RNA 179</p> <p><b>Chapter 5 Healthcare and the Entrance of the Technology Titans 189</b></p> <p>Digital Health and the New Healthcare Investment Arena 191</p> <p>Assessing the Tech Titans as Disruptors in Healthcare 195</p> <p>Alphabet: Extending Its Tentacles Into Healthcare with Google and Other Bets 196</p> <p>Apple Inc: Consumer Technology Meets Healthcare 200</p> <p>Amazon: Taking Logistics to the Next Level for Delivering Healthcare 204</p> <p>Echoes of the Final Frontier 207</p> <p><b>Chapter 6 AI-Based Algorithms in Biology and Medicine 211</b></p> <p>Recognizing the Faces of Cancer 217</p> <p>Tumor Classification Using Deep Learning with Genomic Features 222</p> <p>AI for Diseases of the Nervous System: Seeing and Changing the Brain 229</p> <p>Regulatory Approval and Clinical Implementation: Twin Challenges for AI-Based Algorithms in Medicine 234</p> <p><b>Chapter 7 AI in Drug Discovery and Development 245</b></p> <p>A Brief Survey of <i>In Silico </i>Methods in Drug Discovery 247</p> <p>Virtual Screening with Cheminformatics and HTS Technologies 250</p> <p>AI Brings a New Toolset for Computational Drug Design 252</p> <p>AI-Based Virtual Screening Tools 257</p> <p>Generative Models for De Novo Drug Design 257</p> <p>A New Base of Innovation for the Pharmaceutical Industry 259</p> <p>Atomwise 261</p> <p>Recursion Pharmaceuticals 262</p> <p>Deep Genomics 262</p> <p>Relay Therapeutics 263</p> <p>Summary 265</p> <p><b>Chapter 8 Biotechnology, AI, and Medicine’s Future 269</b></p> <p>Building Tools to Decipher Molecular Structures and Biological Systems 272</p> <p>AlphaFold: Going Deep in Protein Structure Prediction 274</p> <p>Predicting Genome 3D Organization and Regulatory Elements 276</p> <p>AI Approaches to Link Genetics-Based Targets to Disease 277</p> <p>Quantum Computing for In Silico Chemistry and Biology 278</p> <p>Neuroscience and AI: Modeling Brain and Behavior 280</p> <p>Brain Information Processing and Modularity: Climbing a Granite Wall 283</p> <p>Engineering Medicines with Biotechnology and AI 289</p> <p>Glossary 295</p> <p>Index 303</p>
<p><b>BRIAN HILBUSH, PhD,</b> 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.</p>
<p><b>Discover the latest AI breakthroughs in biotech, pharmaceuticals, and more</b></p> <p>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. <p>In <i>Silico</i> 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. <p>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. <p>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. <ul><li>Explore the paradigm shift in biology from experiments to data science</li> <li>Discover fundamental breakthroughs in AI and deep learning</li> <li>Understand precision medicines and how they’re created</li> <li>Learn why the tech sector has set its sights on healthcare</li> <li>Examine the potential of gene editing and cell reprogramming</li> <li>Find out how AI is currently being deployed in healthcare</li></ul>

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