Buch, Englisch, 220 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g
Advancements in Diagnosis and Treatment
Buch, Englisch, 220 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g
ISBN: 978-0-443-44663-4
Verlag: Elsevier Science
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.
Autoren/Hrsg.
Weitere Infos & Material
1. Introduction to AI in Cancer Research
2. Cancer Biology
3. AI-Driven Cancer Diagnosis
4. Machine Learning in Cancer Prediction and Prognosis
5. Natural Language Processing in Cancer Research
6. Cancer Drug Discovery and Development
7. Personalized Medicine and AI-Driven Precision Oncology
8. AI in Cancer Immunotherapy and Immunogenomics
9. Ethical and Regulatory Considerations
10. AI-Driven Cancer Clinical Trials
11. Future Directions and Emerging Trends in AI Technologies in Health Care
12. Conclusion and Future Outlook of AI on Cancer Biology and Oncology




