Skip to main content

Electromagnetic Waves-Based Cancer Diagnosis and Therapy

Principles and Applications of Nanomaterials

  • 1st Edition - April 13, 2023
  • Editors: Mona Khafaji, Omid Bavi
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 3 2 3 - 9 9 6 2 8 - 0
  • eBook ISBN:
    9 7 8 - 0 - 3 2 3 - 9 9 6 2 9 - 7

Electromagnetic Waves-Based Cancer Diagnosis and Therapy: Principles and Applications of Nanomaterials is a reference solution for radiation-based methods in cancer therapy t… Read more

Electromagnetic Waves-Based Cancer Diagnosis and Therapy

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code needed.

Image of books

Institutional subscription on ScienceDirect

Request a sales quote

Electromagnetic Waves-Based Cancer Diagnosis and Therapy: Principles and Applications of Nanomaterials is a reference solution for radiation-based methods in cancer therapy that benefit from nanosystems. The book gives foundational knowledge and the latest techniques across the electromagnetic wave spectrum. It assesses the advantages and limitations of nanosystems in therapy, providing researchers and specialists with the insight to leverage novel nanostructures for therapy and to improve the efficacy of existing methods. It presents a comprehensive reference on the use of nanosystems in radiation-based cancer therapy. What makes this book unique is its coverage of the electromagnetic wave spectrum.

Six chapters cover radio-wave-involved cancer therapy and imaging; cancer therapy by microwaves hypothermia; infra-red waves in cancer theranostics; the use of visible light in diagnosis; X-ray based treatments; and gamma ray-involved therapy and imaging. This book offers researchers and specialists a comprehensive overview of radiation-based methods using nanosystems. It will be of great use to researchers and specialists in cancer diagnosis who want to take advantage of novel nanostructures and to improve the performance of conventional methods in radiation-based cancer diagnosis and therapy.