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:
- Explores the powerful synergy between artificial intelligence and nanocarrier technology in cancer care;
- Covers key nanostructures and AI tools, drawing from biomedical, clinical, and data sciences;
- Includes case studies and clinical insights to connect theory with practice;
- Highlights emerging trends like AI-guided radiotherapy and quantum computing in oncology.
Audience
Academics, researchers, biomedical engineers, nanotechnologists, materials scientists, oncologists, clinical researchers, and medical professionals involved in the design and development of drug delivery systems.