Oncology Reimagined: Treating Cancer Through Digital Twins
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Beschrijving
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Oncology Reimagined: Treating Cancer Through Digital TwinsWhat if every cancer patient could have their own virtual replica - a living, breathing computational model that predicts how their tumor will respond to treatment before a single drug is administered?This comprehensive academic reference explores how Digital Twin (DT) technology is fundamentally transforming cancer diagnosis, treatment planning, and toxicity management across all major oncological disciplines.What You Will Find Inside- The biological and technical foundations of cancer Digital Twins- DT applications in chemotherapy, immunotherapy, CAR-T, and radiation oncology- Pharmacokinetic/pharmacodynamic modeling for personalized dosing- Predicting and preventing cardiotoxicity, nephrotoxicity, and neurotoxicity- Ethical, legal, and regulatory challenges of AI-driven oncology- Future directions: quantum computing, CRISPR integration, and population twinsWho This Book Is ForWritten for oncologists, medical researchers, and advanced medical students, this book bridges the gap between cutting-edge computational science and clinical practice - providing the first consolidated academic resource dedicated entirely to Digital Twin technology in cancer care.A landmark reference for anyone seeking to understand the future of personalized oncology.
Oncology Reimagined: Treating Cancer Through Digital TwinsWhat if every cancer patient could have their own virtual replica - a living, breathing computational model that predicts how their tumor will respond to treatment before a single drug is administered?This comprehensive academic reference explores how Digital Twin (DT) technology is fundamentally transforming cancer diagnosis, treatment planning, and toxicity management across all major oncological disciplines.What You Will Find Inside- The biological and technical foundations of cancer Digital Twins- DT applications in chemotherapy, immunotherapy, CAR-T, and radiation oncology- Pharmacokinetic/pharmacodynamic modeling for personalized dosing- Predicting and preventing cardiotoxicity, nephrotoxicity, and neurotoxicity- Ethical, legal, and regulatory challenges of AI-driven oncology- Future directions: quantum computing, CRISPR integration, and population twinsWho This Book Is ForWritten for oncologists, medical researchers, and advanced medical students, this book bridges the gap between cutting-edge computational science and clinical practice - providing the first consolidated academic resource dedicated entirely to Digital Twin technology in cancer care.A landmark reference for anyone seeking to understand the future of personalized oncology.
AmazonPagina's: 180, Paperback, Independently published
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