The chapters include a broad and integrated perspective on cancer-related topics. This book covers both conventional and emerging techniques employed in cancer screening and diagnosis, including imaging, biomarker, and electrochemical nanosensor-based approaches with detailed information on sensor development. Similarly, this book also covers the mechanisms of different conventional and emerging herbal and nano therapies used in cancer treatment. The authors discuss applications of different computational and mathematical tools, such as machine-learning methods, that can be employed in cancer diagnosis and therapy at the level of personalized medicine.
Features:
- Offers an integrated approach to provide information about all aspects of cancer biology, diagnosis, and therapy
- Focuses on both conventional and emerging tools/techniques applicable in cancer screening and diagnosis
- Covers the mechanisms of conventional and emerging anticancer drugs and therapies
- Provides insights about a personalized medicine-based approach in cancer diagnosis and therapy
This book is essential for university students, course lecturers, researchers, and industrialists working in the fields of cancer biology, medicine, and pharmacology.
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