This book is an ideal resource for clinicians, basic medical scientists, graduate basic medical science students, and medical students caring for patients with ovarian cancer, including attending surgeons and physicians, and clinical ...

eBook Title: Ovarian Cancer Immunotherapy
Author:Samir A. Farghaly
Published on 2018-08-31 by Oxford University Press


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Ovarian Cancer Immunotherapy provides a broad overview of several aspects of basic sciences, and clinical and therapeutic aspects of immunotherapy for ovarian cancer, as well as state-of-the-art information on molecular genetics and biology. Chapters are written by a team of expert contributors from around the world and explore topics such as antibody therapeutics for ovarian carcinoma, emerging serum biomarkers, ovarian cancer immunity, adoptive cell immunotherapy, the biology of dendritic cells, the role of growth factors, and more. Readers will also gain a better understanding of the molecular and cellular events that underlie ovarian cancer immunology. This book is an ideal resource for clinicians, basic medical scientists, graduate basic medical science students, and medical students caring for patients with ovarian cancer, including attending surgeons and physicians, and clinical fellows and residents in the disciplines of gynecologic oncology, medical oncology, and surgical oncology.

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Samir A. Farghaly
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Book Details:
  1. Book was ranked at 18 by Google Books for Ovarian Cancer Immunotherapy
  2. Ovarian Cancer Immunotherapy published by Oxford University Press since 2018-08-31 with ISBNs. The book ISBN 13 Code is 9780190248215 and ISBN 10 Code is 0190248211
  3. Reading Mode in Text Status is false and Reading Mode in Image Status is true
  4. The book has "352 Pages" is Printed at BOOK underMedicalCategory
  5. Rated by Raters and have average rate at ""
  6. eBook Maturity (Adult Book) status is NOT_MATURE
  7. eBook written in en
  8. Book Preview Address: http://books.google.com/books?id=RSBrDwAAQBAJ&printsec=frontcover&dq=Cancer+Symptoms&hl=&cd=217&source=gbs_api

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