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Taschenbuch. Zustand: Neu. Neuware - Vitiligo is a chronic, immune-mediated skin disorder that affects pigmentation and can have a profound impact on quality of life, despite not being life-threatening. Variability in disease progression and treatment outcomes continues to present challenges for both patients and healthcare providers, highlighting the need for more precise and personalized approaches to care. Artificial intelligence (AI) is increasingly transforming vitiligo management by enhancing disease assessment, supporting clinical decision-making, and improving the monitoring of disease progression over time. As these technologies continue to evolve, they are creating new opportunities for more accurate, data-driven approaches to diagnosis and treatment across diverse healthcare settings. The integration of computational innovation with clinical expertise is opening new pathways for advancing the future of vitiligo care. AI-Driven Advances in Vitiligo Management: Precision Medicine and Comprehensive Care Strategies examines how AI is reshaping the understanding, diagnosis, and management of vitiligo across the continuum of care. Integrating advances in dermatology, immunology, and computational science, the book highlights the growing role of AI in enabling more precise, data-driven, and accessible models of care while addressing the practical, ethical, and regulatory considerations associated with their implementation. Covering topics such as biomarkers, patient stratification, and targeted immunomodulation, this book serves as a valuable resource for graduate and doctoral students, dermatologists, vitiligo specialists, pigmentary disorder experts, immunologists, biomedical engineers, clinical informatics professionals, healthcare technology developers, policymakers, researchers, and other professionals interested in the future of precision dermatology and AI-enabled healthcare.…

Hardback. Zustand: New.

Gebundene Ausgabe. Zustand: Neu. Gene and cell therapy is entering a new phase, one where artificial intelligence is bringing precision and predictability to editing systems that were once largely trial-and-error. From CRISPR-Cas genome editing to emerging techniques like epigenome modulation and mitochondrial genome correction, machine learning and deep learning are increasingly guiding how these tools are designed and scaled. AI is helping minimize off-target effects, improve manufacturing predictability, and build in the kind of explainability and bias mitigation that safety and regulatory approval demand. As these technologies move closer to widespread clinical use, the field needs a framework that ties computational innovation directly to therapeutic application, rather than treating AI and biomedicine as separate conversations. This convergence of computational innovation and biological engineering marks one of the most consequential shifts in modern therapeutic science. AI-Driven Innovations in Genome, Epigenome, and Mitochondrial Therapies provides state-of-the-art, data-driven methodologies for designing, optimizing, and validating safer, more precise, and scalable gene and cell therapies. By connecting concrete biomedical applications with benchmarked computational pipelines and structured frameworks for transparent, accountable AI governance, this book equips researchers and practitioners to navigate discovery, preclinical validation, clinical translation, and lifecycle risk management. Covering topics such as genome-enabled precision wound care, mitochondrial mutation detection, and mitochondrial editing, this book is an excellent academic resource for graduate and doctoral students, biomedical researchers, AI and machine learning specialists, bioinformaticians, regulatory affairs professionals, policymakers, and more. Sprache: Englisch Gewicht in Gramm: 1119.…

Buch. Zustand: Neu. Neuware - Vitiligo is a chronic, immune-mediated skin disorder that affects pigmentation and can have a profound impact on quality of life, despite not being life-threatening. Variability in disease progression and treatment outcomes continues to present challenges for both patients and healthcare providers, highlighting the need for more precise and personalized approaches to care. Artificial intelligence (AI) is increasingly transforming vitiligo management by enhancing disease assessment, supporting clinical decision-making, and improving the monitoring of disease progression over time. As these technologies continue to evolve, they are creating new opportunities for more accurate, data-driven approaches to diagnosis and treatment across diverse healthcare settings. The integration of computational innovation with clinical expertise is opening new pathways for advancing the future of vitiligo care. AI-Driven Advances in Vitiligo Management: Precision Medicine and Comprehensive Care Strategies examines how AI is reshaping the understanding, diagnosis, and management of vitiligo across the continuum of care. Integrating advances in dermatology, immunology, and computational science, the book highlights the growing role of AI in enabling more precise, data-driven, and accessible models of care while addressing the practical, ethical, and regulatory considerations associated with their implementation. Covering topics such as biomarkers, patient stratification, and targeted immunomodulation, this book serves as a valuable resource for graduate and doctoral students, dermatologists, vitiligo specialists, pigmentary disorder experts, immunologists, biomedical engineers, clinical informatics professionals, healthcare technology developers, policymakers, researchers, and other professionals interested in the future of precision dermatology and AI-enabled healthcare.…

Gebundene Ausgabe. Zustand: Neu. Artificial intelligence (AI) and machine learning (ML) transform drug research and personalized medicine by enabling faster, more precise, and data-driven approaches to healthcare. By analyzing complex datasets, AI-driven models can identify drug targets, predict interactions, and optimize drug development timelines. These technologies pave the way for personalized medicine, allowing treatments to be tailored to individuals' health. Together, AI and machine learning revolutionize how medicines are discovered, developed, and delivered, offering more effective therapies and improved patient outcomes. Revolutionizing Drug Research and Personalized Medicine Through AI and Machine Learning examines the effects of AI and ML on the pharmaceutical sector. It explores how intelligent technologies transform traditional drug research and development, highlighting their importance in personalized treatment methods. This book covers topics such as molecular design, phytochemicals, and vaccine development, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. Sprache: Englisch Gewicht in Gramm: 1188.…

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. Gene and cell therapy is entering a new phase, one where artificial intelligence is bringing precision and predictability to editing systems that were once largely trial-and-error. From CRISPR-Cas genome editing to emerging techniques like epigenome modulation and mitochondrial genome correction, machine learning and deep learning are increasingly guiding how these tools are designed and scaled. AI is helping minimize off-target effects, improve manufacturing predictability, and build in the kind of explainability and bias mitigation that safety and regulatory approval demand. As these technologies move closer to widespread clinical use, the field needs a framework that ties computational innovation directly to therapeutic application, rather than treating AI and biomedicine as separate conversations. This convergence of computational innovation and biological engineering marks one of the most consequential shifts in modern therapeutic science. AI-Driven Innovations in Genome, Epigenome, and Mitochondrial Therapies provides state-of-the-art, data-driven methodologies for designing, optimizing, and validating safer, more precise, and scalable gene and cell therapies. By connecting concrete biomedical applications with benchmarked computational pipelines and structured frameworks for transparent, accountable AI governance, this book equips researchers and practitioners to navigate discovery, preclinical validation, clinical translation, and lifecycle risk management. Covering topics such as genome-enabled precision wound care, mitochondrial mutation detection, and mitochondrial editing, this book is an excellent academic resource for graduate and doctoral students, biomedical researchers, AI and machine learning specialists, bioinformaticians, regulatory affairs professionals, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. Gene and cell therapy is entering a new phase, one where artificial intelligence is bringing precision and predictability to editing systems that were once largely trial-and-error. From CRISPR-Cas genome editing to emerging techniques like epigenome modulation and mitochondrial genome correction, machine learning and deep learning are increasingly guiding how these tools are designed and scaled. AI is helping minimize off-target effects, improve manufacturing predictability, and build in the kind of explainability and bias mitigation that safety and regulatory approval demand. As these technologies move closer to widespread clinical use, the field needs a framework that ties computational innovation directly to therapeutic application, rather than treating AI and biomedicine as separate conversations. This convergence of computational innovation and biological engineering marks one of the most consequential shifts in modern therapeutic science. AI-Driven Innovations in Genome, Epigenome, and Mitochondrial Therapies provides state-of-the-art, data-driven methodologies for designing, optimizing, and validating safer, more precise, and scalable gene and cell therapies. By connecting concrete biomedical applications with benchmarked computational pipelines and structured frameworks for transparent, accountable AI governance, this book equips researchers and practitioners to navigate discovery, preclinical validation, clinical translation, and lifecycle risk management. Covering topics such as genome-enabled precision wound care, mitochondrial mutation detection, and mitochondrial editing, this book is an excellent academic resource for graduate and doctoral students, biomedical researchers, AI and machine learning specialists, bioinformaticians, regulatory affairs professionals, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Zustand: new. Hardcover. Gene and cell therapy is entering a new phase, one where artificial intelligence is bringing precision and predictability to editing systems that were once largely trial-and-error. From CRISPR-Cas genome editing to emerging techniques like epigenome modulation and mitochondrial genome correction, machine learning and deep learning are increasingly guiding how these tools are designed and scaled. AI is helping minimize off-target effects, improve manufacturing predictability, and build in the kind of explainability and bias mitigation that safety and regulatory approval demand. As these technologies move closer to widespread clinical use, the field needs a framework that ties computational innovation directly to therapeutic application, rather than treating AI and biomedicine as separate conversations. This convergence of computational innovation and biological engineering marks one of the most consequential shifts in modern therapeutic science. AI-Driven Innovations in Genome, Epigenome, and Mitochondrial Therapies provides state-of-the-art, data-driven methodologies for designing, optimizing, and validating safer, more precise, and scalable gene and cell therapies. By connecting concrete biomedical applications with benchmarked computational pipelines and structured frameworks for transparent, accountable AI governance, this book equips researchers and practitioners to navigate discovery, preclinical validation, clinical translation, and lifecycle risk management. Covering topics such as genome-enabled precision wound care, mitochondrial mutation detection, and mitochondrial editing, this book is an excellent academic resource for graduate and doctoral students, biomedical researchers, AI and machine learning specialists, bioinformaticians, regulatory affairs professionals, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Zustand: new. Paperback. Artificial intelligence (AI) and machine learning (ML) transform drug research and personalized medicine by enabling faster, more precise, and data-driven approaches to healthcare. By analyzing complex datasets, AI-driven models can identify drug targets, predict interactions, and optimize drug development timelines. These technologies pave the way for personalized medicine, allowing treatments to be tailored to individuals' health. Together, AI and machine learning revolutionize how medicines are discovered, developed, and delivered, offering more effective therapies and improved patient outcomes. Revolutionizing Drug Research and Personalized Medicine Through AI and Machine Learning examines the effects of AI and ML on the pharmaceutical sector. It explores how intelligent technologies transform traditional drug research and development, highlighting their importance in personalized treatment methods. This book covers topics such as molecular design, phytochemicals, and vaccine development, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.