Isbn: 9798276575407 - biolionaire scientist—volume 6: code empire: the code-driven playbook for global biotech domination (7 risultati)

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BioLionaire Scientist—Volume 6: CODE EMPIRE: The Code-Driven Playbook for Global Biotech Domination
Jabbarzadeh Kaboli, Dr. Parham; Jalali, Shayan; Mohammadalizadeh Rami, Sana; Salahi, Shanli
Lingua: Inglese
Editore: Independently published, 2026
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Da: California Books, Miami, FL, U.S.A.California Books
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Lingua: Inglese
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condizione: new. Paperback. Code Empire completes the BioLionaire Scientist series by examining the convergence of biology, data science, and artificial intelligence. In this volume, life is decoded not only as chemistry, but as information - and the laboratory becomes an algorithmic engine.This book explores how computational biology, machine learning, and digital laboratory infrastructure are reshaping biotechnology. It moves from the molecular language of DNA to AI-driven experimentation, from predictive modeling to TechBio startups, and from data platforms to capital formation.Rather than treating artificial intelligence as an accessory tool, Code Empire frames computation as the new backbone of biological discovery. It analyzes how digital-physical integration accelerates research cycles, how AI scientists are emerging as collaborators, and how biological intelligence becomes product infrastructure.Written for scientists, engineers, founders, and forward-thinking investors, this volume connects coding fluency with biotech strategy - demonstrating how data becomes discovery, discovery becomes platform, and platform becomes empire.Who This Book Is ForThis volume is written for computational biologists, data scientists entering life sciences, PhD researchers, clinician-investigators, TechBio founders, and biotechnology professionals seeking a rigorous understanding of AI-enabled biology. It is also suitable for academic innovation centers, biotech accelerators, and institutional libraries supporting interdisciplinary research.Table of ContentsPart I - Decoding LifeChapter 1 - The Language of LifeChapter 2 - Data is the New Petri DishChapter 3 - Algorithms of DiscoveryPart II - Intelligence in ActionChapter 4 - The AI-Driven LabChapter 5 - The Rise of TechBioChapter 6 - Closing the Digital-Physical LoopChapter 7 - Building Biological IntelligenceChapter 8 - CRISPR, Code & ConvergencePart III - From Code to CapitalChapter 9 - The Data Startup RevolutionChapter 10 - The AI ScientistChapter 11 - Building a TechBio Product RoadmapChapter 12 - The Future CodeAppendices & ToolsAppendix A - The Digital Lab ToolkitAppendix B - AI-Biotech CanvasAppendix C - How TechBio Thinks-With Code ExamplesAppendix D - Investor LensGlossaryIndexCompanies & Platforms Discussed in this VolumeEssential Reading This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Lingua: Inglese
Editore: Independently Published, 2026
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. Code Empire completes the BioLionaire Scientist series by examining the convergence of biology, data science, and artificial intelligence. In this volume, life is decoded not only as chemistry, but as information - and the laboratory becomes an algorithmic engine.This book explores how computational biology, machine learning, and digital laboratory infrastructure are reshaping biotechnology. It moves from the molecular language of DNA to AI-driven experimentation, from predictive modeling to TechBio startups, and from data platforms to capital formation.Rather than treating artificial intelligence as an accessory tool, Code Empire frames computation as the new backbone of biological discovery. It analyzes how digital-physical integration accelerates research cycles, how AI scientists are emerging as collaborators, and how biological intelligence becomes product infrastructure.Written for scientists, engineers, founders, and forward-thinking investors, this volume connects coding fluency with biotech strategy - demonstrating how data becomes discovery, discovery becomes platform, and platform becomes empire.Who This Book Is ForThis volume is written for computational biologists, data scientists entering life sciences, PhD researchers, clinician-investigators, TechBio founders, and biotechnology professionals seeking a rigorous understanding of AI-enabled biology. It is also suitable for academic innovation centers, biotech accelerators, and institutional libraries supporting interdisciplinary research.Table of ContentsPart I - Decoding LifeChapter 1 - The Language of LifeChapter 2 - Data is the New Petri DishChapter 3 - Algorithms of DiscoveryPart II - Intelligence in ActionChapter 4 - The AI-Driven LabChapter 5 - The Rise of TechBioChapter 6 - Closing the Digital-Physical LoopChapter 7 - Building Biological IntelligenceChapter 8 - CRISPR, Code & ConvergencePart III - From Code to CapitalChapter 9 - The Data Startup RevolutionChapter 10 - The AI ScientistChapter 11 - Building a TechBio Product RoadmapChapter 12 - The Future CodeAppendices & ToolsAppendix A - The Digital Lab ToolkitAppendix B - AI-Biotech CanvasAppendix C - How TechBio Thinks-With Code ExamplesAppendix D - Investor LensGlossaryIndexCompanies & Platforms Discussed in this VolumeEssential Reading This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…