This book presents an advanced exploration of computational oncology, integrating artificial intelligence, machine learning, natural language processing, genomics, and quantum computing to transform cancer research and precision medicine. It examines how modern computational methods can analyze complex biomedical data such as genomic, clinical, and multi-omics datasets to improve cancer diagnosis, treatment prediction, and drug discovery.
The text discusses key topics including machine learning models for tumor classification, clinical NLP for healthcare data, large language models for biomedical intelligence, and AI-driven biomarker discovery. It also introduces the emerging role of quantum computing and hybrid AI-quantum systems in accelerating molecular simulation and oncology research. Designed for researchers, data scientists, and healthcare professionals, the book provides a multidisciplinary framework for developing next-generation intelligent systems in cancer research and precision oncology.
