Saumya Srivastava – författare

This book provides information about different types and stages of cancer and their subtypes with their respective molecular mechanisms, etiology, histopathology, and cellular origins. This book also provides detailed information about cancer incidence, mortality, and different types of technologies both bio and nano employed in cancer diagnosis and screening, and their applications in cancer therapies. This book informs readers about molecular mechanisms of cancer, diagnosis, and therapies along with different computational techniques used on a single platform.

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.

This book provides information about different types and stages of cancer and their subtypes with their respective molecular mechanisms, etiology, histopathology, and cellular origins. This book also provides detailed information about cancer incidence, mortality, and different types of technologies both bio and nano employed in cancer diagnosis and screening, and their applications in cancer therapies. This book informs readers about molecular mechanisms of cancer, diagnosis, and therapies along with different computational techniques used on a single platform.

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.

This book provides information about different types and stages of cancer and their subtypes with their respective molecular mechanisms, etiology, histopathology, and cellular origins. This book also provides detailed information about cancer incidence, mortality, and different types of technologies both bio and nano employed in cancer diagnosis and screening, and their applications in cancer therapies. This book informs readers about molecular mechanisms of cancer, diagnosis, and therapies along with different computational techniques used on a single platform.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 therapyThis book is essential for university students, course lecturers, researchers, and industrialists working in the fields of cancer biology, medicine, and pharmacology.