AI in Clinical Trials: Revolutionizing Drug Development
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- FormatePub
- ISBN8231515301
- EAN9798231515301
- Date de parution17/06/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurWalzone Press
Résumé
?? eBook DescriptionAI in Clinical Trials: Revolutionizing Drug DevelopmentBy Sumanth MayurThe pharmaceutical world is at a tipping point-facing mounting costs, longer development cycles, and an urgent demand for safer, more effective treatments. Traditional clinical trials, long considered the gold standard, are being rapidly transformed by the intelligence and agility of artificial intelligence (AI).
This book is your complete guide to understanding and leveraging AI in the most critical phase of drug development: clinical trials.?? What This Book Offers:"AI in Clinical Trials" is a comprehensive, accessible, and insight-packed exploration of how technologies like machine learning, natural language processing, digital twins, and real-world data analytics are revolutionizing trial design, execution, and analysis.
Whether you're a clinical researcher, data scientist, biostatistician, regulatory specialist, or medical student, this book arms you with both foundational knowledge and cutting-edge applications.?? Inside, You'll Learn:? How AI is solving the most persistent clinical trial challenges:- Slow recruitment, - Site inefficiency, - High dropout rates, - Data fragmentation, and more.? The regulatory and ethical frameworks governing AI-driven trials- From the FDA, EMA, CDSCO to GDPR and HIPAA- Ethical dilemmas: Explainability, accountability, and bias detection? How AI transforms trial operations from start to finish:- Smart protocol generation with NLP- AI-based site selection and feasibility modeling- Real-time patient monitoring with wearables and ML- Adaptive trial designs using Bayesian and reinforcement learning models- AI-supported regulatory submissions and pharmacovigilance? The integration of Real-World Data (RWD), synthetic control arms, and AutoML platforms for real-time insights and better trial outcomes? Career pathways and technical skillsets to stay relevant in this rapidly evolving domain?? Highlights & Unique Features: ?? Infographics & Flowcharts: Understand complex AI workflows at a glance ?? Case Studies: Real and fictional scenarios to bring concepts to life ?? Key Takeaways at the start of every chapter for quick summaries ?? Glossary & Resources: Definitions, tools, datasets, and certification recommendations ?? Career Compass: How to become an AI-ready professional in clinical research ?? Why This Book Matters:The global clinical trial landscape is evolving-rapidly.
AI is no longer a futuristic add-on; it is a strategic imperative. This book ensures that you are not only aware of the coming changes-but ready to lead them. Whether you're looking to optimize your next trial, transition into AI-driven roles, or simply stay ahead of the curve, this book gives you the toolkit and mindset to thrive. Step into the future of drug development. Transform how we test, track, and treat-with AI.
This book is your complete guide to understanding and leveraging AI in the most critical phase of drug development: clinical trials.?? What This Book Offers:"AI in Clinical Trials" is a comprehensive, accessible, and insight-packed exploration of how technologies like machine learning, natural language processing, digital twins, and real-world data analytics are revolutionizing trial design, execution, and analysis.
Whether you're a clinical researcher, data scientist, biostatistician, regulatory specialist, or medical student, this book arms you with both foundational knowledge and cutting-edge applications.?? Inside, You'll Learn:? How AI is solving the most persistent clinical trial challenges:- Slow recruitment, - Site inefficiency, - High dropout rates, - Data fragmentation, and more.? The regulatory and ethical frameworks governing AI-driven trials- From the FDA, EMA, CDSCO to GDPR and HIPAA- Ethical dilemmas: Explainability, accountability, and bias detection? How AI transforms trial operations from start to finish:- Smart protocol generation with NLP- AI-based site selection and feasibility modeling- Real-time patient monitoring with wearables and ML- Adaptive trial designs using Bayesian and reinforcement learning models- AI-supported regulatory submissions and pharmacovigilance? The integration of Real-World Data (RWD), synthetic control arms, and AutoML platforms for real-time insights and better trial outcomes? Career pathways and technical skillsets to stay relevant in this rapidly evolving domain?? Highlights & Unique Features: ?? Infographics & Flowcharts: Understand complex AI workflows at a glance ?? Case Studies: Real and fictional scenarios to bring concepts to life ?? Key Takeaways at the start of every chapter for quick summaries ?? Glossary & Resources: Definitions, tools, datasets, and certification recommendations ?? Career Compass: How to become an AI-ready professional in clinical research ?? Why This Book Matters:The global clinical trial landscape is evolving-rapidly.
AI is no longer a futuristic add-on; it is a strategic imperative. This book ensures that you are not only aware of the coming changes-but ready to lead them. Whether you're looking to optimize your next trial, transition into AI-driven roles, or simply stay ahead of the curve, this book gives you the toolkit and mindset to thrive. Step into the future of drug development. Transform how we test, track, and treat-with AI.
?? eBook DescriptionAI in Clinical Trials: Revolutionizing Drug DevelopmentBy Sumanth MayurThe pharmaceutical world is at a tipping point-facing mounting costs, longer development cycles, and an urgent demand for safer, more effective treatments. Traditional clinical trials, long considered the gold standard, are being rapidly transformed by the intelligence and agility of artificial intelligence (AI).
This book is your complete guide to understanding and leveraging AI in the most critical phase of drug development: clinical trials.?? What This Book Offers:"AI in Clinical Trials" is a comprehensive, accessible, and insight-packed exploration of how technologies like machine learning, natural language processing, digital twins, and real-world data analytics are revolutionizing trial design, execution, and analysis.
Whether you're a clinical researcher, data scientist, biostatistician, regulatory specialist, or medical student, this book arms you with both foundational knowledge and cutting-edge applications.?? Inside, You'll Learn:? How AI is solving the most persistent clinical trial challenges:- Slow recruitment, - Site inefficiency, - High dropout rates, - Data fragmentation, and more.? The regulatory and ethical frameworks governing AI-driven trials- From the FDA, EMA, CDSCO to GDPR and HIPAA- Ethical dilemmas: Explainability, accountability, and bias detection? How AI transforms trial operations from start to finish:- Smart protocol generation with NLP- AI-based site selection and feasibility modeling- Real-time patient monitoring with wearables and ML- Adaptive trial designs using Bayesian and reinforcement learning models- AI-supported regulatory submissions and pharmacovigilance? The integration of Real-World Data (RWD), synthetic control arms, and AutoML platforms for real-time insights and better trial outcomes? Career pathways and technical skillsets to stay relevant in this rapidly evolving domain?? Highlights & Unique Features: ?? Infographics & Flowcharts: Understand complex AI workflows at a glance ?? Case Studies: Real and fictional scenarios to bring concepts to life ?? Key Takeaways at the start of every chapter for quick summaries ?? Glossary & Resources: Definitions, tools, datasets, and certification recommendations ?? Career Compass: How to become an AI-ready professional in clinical research ?? Why This Book Matters:The global clinical trial landscape is evolving-rapidly.
AI is no longer a futuristic add-on; it is a strategic imperative. This book ensures that you are not only aware of the coming changes-but ready to lead them. Whether you're looking to optimize your next trial, transition into AI-driven roles, or simply stay ahead of the curve, this book gives you the toolkit and mindset to thrive. Step into the future of drug development. Transform how we test, track, and treat-with AI.
This book is your complete guide to understanding and leveraging AI in the most critical phase of drug development: clinical trials.?? What This Book Offers:"AI in Clinical Trials" is a comprehensive, accessible, and insight-packed exploration of how technologies like machine learning, natural language processing, digital twins, and real-world data analytics are revolutionizing trial design, execution, and analysis.
Whether you're a clinical researcher, data scientist, biostatistician, regulatory specialist, or medical student, this book arms you with both foundational knowledge and cutting-edge applications.?? Inside, You'll Learn:? How AI is solving the most persistent clinical trial challenges:- Slow recruitment, - Site inefficiency, - High dropout rates, - Data fragmentation, and more.? The regulatory and ethical frameworks governing AI-driven trials- From the FDA, EMA, CDSCO to GDPR and HIPAA- Ethical dilemmas: Explainability, accountability, and bias detection? How AI transforms trial operations from start to finish:- Smart protocol generation with NLP- AI-based site selection and feasibility modeling- Real-time patient monitoring with wearables and ML- Adaptive trial designs using Bayesian and reinforcement learning models- AI-supported regulatory submissions and pharmacovigilance? The integration of Real-World Data (RWD), synthetic control arms, and AutoML platforms for real-time insights and better trial outcomes? Career pathways and technical skillsets to stay relevant in this rapidly evolving domain?? Highlights & Unique Features: ?? Infographics & Flowcharts: Understand complex AI workflows at a glance ?? Case Studies: Real and fictional scenarios to bring concepts to life ?? Key Takeaways at the start of every chapter for quick summaries ?? Glossary & Resources: Definitions, tools, datasets, and certification recommendations ?? Career Compass: How to become an AI-ready professional in clinical research ?? Why This Book Matters:The global clinical trial landscape is evolving-rapidly.
AI is no longer a futuristic add-on; it is a strategic imperative. This book ensures that you are not only aware of the coming changes-but ready to lead them. Whether you're looking to optimize your next trial, transition into AI-driven roles, or simply stay ahead of the curve, this book gives you the toolkit and mindset to thrive. Step into the future of drug development. Transform how we test, track, and treat-with AI.
