Artificial Intelligence (AI) in Cancer Biology: Advancements in Diagnosis and Treatment explores the revolutionary impact of AI on cancer biology and oncology. This comprehensive volume delves into AI technologies, including machine learning and deep learning, enhancing our ability to understand, diagnose, and treat cancer with unprecedented precision. The book covers a wide range of topics, from cancer biology fundamentals to AI-driven techniques in diagnosis and personalised treatment. It discusses medical imaging, genomics, drug discovery, and predictive modelling, along with ethical and regulatory considerations, offering a holistic view of AI in cancer research. For academic audiences, this book provides invaluable insights into improving clinical outcomes and patient care. Researchers and clinicians will benefit from the detailed analysis of AI applications, while students and scholars will find a wealth of information to support their studies and future innovations in cancer treatment.
- Explores machine learning and deep learning applications in cancer biology, providing in-depth knowledge on the latest advancements and methodologies
- Combines perspectives from medical imaging, genomics, drug discovery, and predictive modelling, offering a holistic view of AI's impact on cancer research and treatment
- Examines the ethical implications and regulatory frameworks surrounding AI in oncology, ensuring a balanced approach to technological innovation and patient care
