Artificial Intelligence (AI) in cancer biology

Advancements in Diagnosis and Treatment

Häftad, Engelska, 2027

1 726 kr

Kommande

Beskrivning

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

Produktinformation

Utgivningsdatum:2027-01-01
Mått:191 x 235 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:220
Förlag:Elsevier Science
ISBN:9780443446634

Utforska kategorier

Biologi inom Naturvetenskap och teknik

Mer om författaren

Dr. Aggarwal is currently a senior postdoctoral fellow at the MD Anderson Cancer Center, Texas, USA. She completed Ph.D. from AIIMS, New Delhi under supervision of Prof. S. N. Das. During PhD, wherein she successfully addressed various aspects of local immunopathology in oral squamous cell carcinoma (OSCC). She published dozens of articles and several book chapters. She is an editorial board member of several indexed reputed international journals.

Innehållsförteckning

1. Introduction to AI in Cancer Research2. Cancer Biology3. AI-Driven Cancer Diagnosis4. Machine Learning in Cancer Prediction and Prognosis5. Natural Language Processing in Cancer Research6. Cancer Drug Discovery and Development7. Personalized Medicine and AI-Driven Precision Oncology8. AI in Cancer Immunotherapy and Immunogenomics9. Ethical and Regulatory Considerations10. AI-Driven Cancer Clinical Trials11. Future Directions and Emerging Trends in AI Technologies in Health Care12. Conclusion and Future Outlook of AI on Cancer Biology and Oncology