Transform the future of oncology with this groundbreaking volume, which details how the synergy of AI-driven machine learning and intelligent nanocarriers can bypass systemic toxicity and drug resistance to deliver the future of personalized cancer care.
This groundbreaking volume explores the powerful intersection of nanotechnology and artificial intelligence in the fight against cancer. As traditional diagnostic and therapeutic strategies struggle with challenges like non-specific drug delivery, systemic toxicity, and drug resistance, this book presents a revolutionary alternative―intelligent nanocarriers enhanced by AI. These systems not only deliver drugs with remarkable precision and control, but also adapt and respond dynamically through machine learning algorithms, ushering in a new era of personalized, high-efficiency oncology. Structured across twelve expertly written chapters, the book covers foundational concepts, advanced applications, and future directions. Readers will gain deep insights into AI-assisted nanocarrier design, synthesis optimization, biomarker detection, and real-time diagnostic imaging. Real-world case studies, emerging innovations like AI-guided radiotherapy and quantum-enhanced analytics, and discussions on ethical and regulatory considerations make this book a comprehensive guide for both academic and industry professionals shaping the future of precision cancer therapy.
Readers will find the volume:
Audience
Academics, researchers, biomedical engineers, nanotechnologists, materials scientists, oncologists, clinical researchers, and medical professionals involved in the design and development of drug delivery systems.
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Sadanand Pandey, PhD is a Professor in the School of Bioengineering and Food Technology at Shoolini University Solan, Himachal Pradesh, India, with more than 15 years of experience. He has authored more than 300 publications in peer-reviewed journals and contributed more than 30 book chapters for leading scientific publishers. His research spans polymer science, nanotechnology, and composite materials, with particular emphasis on nanocomposites and surface modifications.
Abbas Rahdar, PhD is an Associate Professor in the Department of Physics at the University of Zabol, Iran. He has authored more than 400 publications in peer-reviewed journals and 15 book chapters. His major areas of research include nanoparticles synthesis and physical characterization and biomedical applications.
Elvis Fosso-Kankeu, PhD is a Professor in the Department of Metallurgy at the University of Johannesburg, South Africa. He has published more than ten books and more than 250 papers, including journal articles, books, book chapters, and conference proceedings. His research focuses on the hydrometallurgical extraction of metal from solid phases, prediction of pollutants dispersion from industrial areas, and the development of effective and sustainable methods for the removal of inorganic and organic pollutants from polluted water.
Transform the future of oncology with this groundbreaking volume, which details how the synergy of AI-driven machine learning and intelligent nanocarriers can bypass systemic toxicity and drug resistance to deliver the future of personalized cancer care.
This groundbreaking volume explores the powerful intersection of nanotechnology and artificial intelligence in the fight against cancer. As traditional diagnostic and therapeutic strategies struggle with challenges like non-specific drug delivery, systemic toxicity, and drug resistance, this book presents a revolutionary alternative―intelligent nanocarriers enhanced by AI. These systems not only deliver drugs with remarkable precision and control, but also adapt and respond dynamically through machine learning algorithms, ushering in a new era of personalized, high-efficiency oncology. Structured across twelve expertly written chapters, the book covers foundational concepts, advanced applications, and future directions. Readers will gain deep insights into AI-assisted nanocarrier design, synthesis optimization, biomarker detection, and real-time diagnostic imaging. Real-world case studies, emerging innovations like AI-guided radiotherapy and quantum-enhanced analytics, and discussions on ethical and regulatory considerations make this book a comprehensive guide for both academic and industry professionals shaping the future of precision cancer therapy.
Readers will find the volume:
Audience
Academics, researchers, biomedical engineers, nanotechnologists, materials scientists, oncologists, clinical researchers, and medical professionals involved in the design and development of drug delivery systems.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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