Converging Technologies in Precision Oncology

This book explores how multimodal data integration, artificial intelligence, advanced imaging, and functional genomics are reshaping cancer care in the era of Sustainable Development Goal 3 (SDG 3). By bridging molecular profiling with real-world clinical applications, this book provides a forward-looking perspective on how convergence science can transform cancer diagnostics, treatment, and global accessibility.

Organized into fifteen chapters, the volume highlights key innovations ranging from PET-based radiogenomics, spatial omics, and organoid-driven drug testing to AI-enhanced liquid biopsies, smart theranostics and privacy-preserving federated analytics. Each chapter presents not only cutting-edge technologies but also their translational potential offering readers both the scientific foundation and practical insights required to move precision oncology from bench to bedside. Beyond technical advances, this book emphasizes equity, inclusivity, and implementation strategies critical for scaling precision oncology in diverse healthcare systems. By aligning emerging technologies with SDG 3 priorities such as reducing cancer mortality, ensuring universal access to essential care, and accelerating innovation, the book provides a unique roadmap for clinicians, researchers, industry leaders, and policymakers.

This timely resource serves as an essential reference for oncologists, biomedical scientists, radiologists, digital health innovators, and students aspiring to enter the rapidly evolving field of precision oncology. With its blend of scientific depth, translational relevance, and global perspective, this book is positioned to inspire the next generation of cancer research and healthcare innovation.