Decoding Cancer

Precision Oncology Through Ai, Machine Learning, and Multi-Omics Analytics
Erscheinungsjahr 2027
ISBN: 978-0-443-49314-0
Verlag: Elsevier Science

Buch, Englisch, 330 Seiten, Format (B × H): 191 mm x 235 mm

Decoding Cancer: Precision Oncology through AI, Machine Learning, and Multi-Omics Analytics offers an integrated perspective on how computational technologies are transforming cancer research and care. It bridges cancer biology with advanced data-driven approaches to enable precision oncology. The book covers fundamentals of cancer biology alongside applications of artificial intelligence, machine learning, and big data analytics in biomarker discovery, early detection, and personalized treatment. Chapters explore multi-omics integration, predictive modeling, radiomics, surgical robotics, and ethical considerations, supported by diagrams, case studies, and annotated workflows. For academics and professionals, this resource provides actionable insights into cutting-edge tools and methodologies, helping readers understand how computational oncology accelerates translational research and clinical decision-making. It serves as a comprehensive guide for students, researchers, and clinicians navigating the future of data-driven cancer care.

Autoren/Hrsg.

Maurya, Pawan Kumar

Moar, Kareena

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

1. Oncoinformatics: A New Direction in Cancer Research
2. Big Data in Oncology: Opportunities and Obstacles
3. Artificial Intelligence in Cancer Research
4. Machine Learning for Precision Oncology
5. From Data to Discovery: Visualizing and Analysing Cancer Data
6. Precision Oncology through Data-driven Biomarker Discovery
7. Artificial Intelligence in Cancer Genomics, Transcriptomics and Proteomics
8. AI and ML for Early Cancer Detection
9. Advances in Surgical Oncology with AI, ML and Robotics
10. Personalized Oncology: From Data to Cure
11. Radiomics and AI in Medical Imaging for Precision Oncology
12. From Discovery to Cure: The Road Ahead in Cancer Informatics
13. From Bench to Bedside: The Roadmap for Safe AI Deployment in Oncocare
14. Responsible and Ethical AI for Data-driven Cancer Care: Legal and Equity Perspectives
15. Glossary

Über Autor(innen)

Moar, Kareena
Dr. Kareena Moar is an Assistant Professor of Biochemistry at Jaypee Institute of Information Technology (JIIT), Noida. She earned her Ph.D. in Biochemistry from the Central University of Haryana, specializing in cancer biology and biochemical therapeutics. Her research explores the therapeutic potential of natural products, their synergy with chemotherapeutic agents, and oxidative stress biomarkers in cancer progression and diagnosis. Dr. Moar employs biochemical and molecular approaches to advance cancer therapeutics and clinical biochemistry. She has published 18 peer-reviewed articles, contributed six book chapters, and presented at national and international conferences. Actively mentoring undergraduate and postgraduate projects, she continues to strengthen research in biochemical diagnostics and molecular medicine.

Maurya, Pawan Kumar
Dr. Pawan Kumar Maurya is a biochemist and Professor in the Department of Biochemistry at the Central University of Haryana, where he also serves as Dean of Academic Affairs. He earned his MSc and PhD in Biochemistry from the University of Allahabad. His research spans oxidative stress, aging, nanomedicine, and clinical biochemistry. He has completed postdoctoral training at several institutions in Asia and Brazil. Dr. Maurya has been honored with national and international awards for his work. He is active in professional societies including the Association of Gerontology India, the Society of Neurochemistry India, and Indian Biochemists’ and Microbiologists’ associations. His scholarly output includes books, book chapters, and numerous research articles. He contributes to technical and organizing committees for national and international conferences. A dedicated educator, he specializes in biochemical diagnostics, nanomedicine, and clinical biochemistry, with a track record of editorial work with major publishers.