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Artificial Intelligence (AI) in cancer biology

Advancements in Diagnosis and Treatment

  • 1st Edition - January 1, 2027
  • Latest edition
  • Editor: Sadhna Aggarwal
  • Language: English

Artificial Intelligence (AI) in cancer biology: Advancements in Diagnosis and Treatment explores the revolutionary impact of AI on cancer biology and oncology. This compre… Read more

Description

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.

Key features

  • 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

Readership

Academic researchers, clinicians, oncologists, medical students, and scholars specialising in cancer biology, oncology, and AI technologies.

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: January 1, 2027
  • Language: English

About the editor

SA

Sadhna Aggarwal

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.
Affiliations and expertise
MD Anderson Cancer Center, TX, USA