Jalali shayan (7 resultados)

Idioma: Inglés
Editorial: Independently published, 2026
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EUR 25,14
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Idioma: Inglés
Editorial: Independently published, 2026
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 28,23
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Idioma: Inglés
Editorial: Independently published, 2026
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Idioma: Inglés
Editorial: Independently published, 2026
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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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
Idioma: Inglés
Editorial: Independently published, 2026
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 27,58
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Condición: New. Print on Demand.

Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 31,78
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Paperback. Condición: 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.…

Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 31,63
Envío por EUR 43,72Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: 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.…