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Latest Advances in Diagnosis and Treatment of Women-Associated Cancers.

Contributor(s): Material type: TextPublisher: [Place of publication not identified] : CRC Press, 2022Edition: First editionDescription: 1 online resource (xxxiv, 132 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003260172
  • 1003260179
  • 9781000640557
  • 1000640558
  • 9781000640496
  • 1000640493
Subject(s): Additional physical formats: Print version :: No titleLOC classification:
  • RC280.G5
Online resources:
Contents:
Preface Acknowledgements About the Editors List of Contributors List of Abbreviations Glossary 1. Overview of Traditional Methods of Diagnosis and Treatment for Women-Associated Cancers Malika Ranjan, Namyaa Kumar, Safiya Arfi and Shazia Rashid 2. Cancer Drugs and Treatment Formulations for Women-Associated Cancers Reetika Arora and Pawan K. Maurya 3. Imaging as an Important Tool for Diagnosis of Breast Cancer Priyanka Mudaliar, Shafina Siddiqui, Sangeeta Ballav, Narrayan Raam Shankar, Soumya Basu and Jyotirmoi Aich 4. Use of Immunotherapy in Gynaecological and Breast Cancer Showket Hussain, Sandeep Sisodiya, Vishakha Kasherwal, Sonam Tulsyan and Asiya Khan 5. Computational Drug Discovery and Development Along With Their Applications in the Treatment of Women-Associated Cancers Rahul Kumar, Rakesh Kumar, Harsh Goel, Somorjit Singh Ningombam and Pranay Tanwar viii Contents 6. Advances in Nanotechnology for Treatment of Women-Specific Cancers Smriti Arora, Ananya Bishnoi, Gunjan Vasant Bonde and Ashish Mathur 7. Identifying Breast Cancer Treatment Biomarkers Using Transcriptomics Ashfaq Ali Mir 8. Integrating CADD and Herbal Informatics Approach to Explore Potential Drug Candidates Against HPV E Associated With Cervical Cancer Arushi Verma, Jyoti Bala, Navkiran Kaur and Anupama Avasthi 9. Advances in Big Data and Machine Learning in Cancer Detection in Women-Associated Cancers Dhaval Kumar Srivastava, Aditya Vikram Singh and Ankur Saxena 10. Clinicians' Perspective in the Use and Adaptability of the Latest Methods of Diagnosis and Treatment for Cancers in Women Umme Abiha and Charu Sharma Index
Summary: There has been tremendous progress in cancer diagnosis and treatment methodologies, and this book focuses on major cancers of the cervix, breast, endometrium, and the associated reproductive system affecting women. It focuses on specific diagnostic techniques and treatment strategies including computational tools, Nanomedicine, and the use of Machine Learning (ML), Artificial Intelligence (AI), Big Data, and other latest techniques, including the evolution of these treatments over the years. Oncologists, cancer scientists, and professionals will find using the content on cutting-edge interventions by experts in their field, significantly improving earlier diagnosis and treatment options. Key Features:• Helps to improve quality of life after treatment as the focus of healthcare is shifting from curative methods to primary prevention of diseases, screening methods and early detection and treatment.• Appeals to clinicians and residents interested in exploring cutting-edge technology for early diagnoses and treatment of women associated cancers.• Features a chapter on the Clinician's perspective on advanced diagnostic and treatment methods.
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Preface Acknowledgements About the Editors List of Contributors List of Abbreviations Glossary 1. Overview of Traditional Methods of Diagnosis and Treatment for Women-Associated Cancers Malika Ranjan, Namyaa Kumar, Safiya Arfi and Shazia Rashid 2. Cancer Drugs and Treatment Formulations for Women-Associated Cancers Reetika Arora and Pawan K. Maurya 3. Imaging as an Important Tool for Diagnosis of Breast Cancer Priyanka Mudaliar, Shafina Siddiqui, Sangeeta Ballav, Narrayan Raam Shankar, Soumya Basu and Jyotirmoi Aich 4. Use of Immunotherapy in Gynaecological and Breast Cancer Showket Hussain, Sandeep Sisodiya, Vishakha Kasherwal, Sonam Tulsyan and Asiya Khan 5. Computational Drug Discovery and Development Along With Their Applications in the Treatment of Women-Associated Cancers Rahul Kumar, Rakesh Kumar, Harsh Goel, Somorjit Singh Ningombam and Pranay Tanwar viii Contents 6. Advances in Nanotechnology for Treatment of Women-Specific Cancers Smriti Arora, Ananya Bishnoi, Gunjan Vasant Bonde and Ashish Mathur 7. Identifying Breast Cancer Treatment Biomarkers Using Transcriptomics Ashfaq Ali Mir 8. Integrating CADD and Herbal Informatics Approach to Explore Potential Drug Candidates Against HPV E Associated With Cervical Cancer Arushi Verma, Jyoti Bala, Navkiran Kaur and Anupama Avasthi 9. Advances in Big Data and Machine Learning in Cancer Detection in Women-Associated Cancers Dhaval Kumar Srivastava, Aditya Vikram Singh and Ankur Saxena 10. Clinicians' Perspective in the Use and Adaptability of the Latest Methods of Diagnosis and Treatment for Cancers in Women Umme Abiha and Charu Sharma Index

There has been tremendous progress in cancer diagnosis and treatment methodologies, and this book focuses on major cancers of the cervix, breast, endometrium, and the associated reproductive system affecting women. It focuses on specific diagnostic techniques and treatment strategies including computational tools, Nanomedicine, and the use of Machine Learning (ML), Artificial Intelligence (AI), Big Data, and other latest techniques, including the evolution of these treatments over the years. Oncologists, cancer scientists, and professionals will find using the content on cutting-edge interventions by experts in their field, significantly improving earlier diagnosis and treatment options. Key Features:• Helps to improve quality of life after treatment as the focus of healthcare is shifting from curative methods to primary prevention of diseases, screening methods and early detection and treatment.• Appeals to clinicians and residents interested in exploring cutting-edge technology for early diagnoses and treatment of women associated cancers.• Features a chapter on the Clinician's perspective on advanced diagnostic and treatment methods.

EBSCOhost "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.

Dr. Shazia Rashid is an academician, working as an Assistant Professor at the Amity Institute of Biotechnology (AIB) and Adjunct Faculty at the Amity Institute of Molecular Medicine and Stem Cells (AIMMSCR), Amity University Uttar Pradesh, Noida, India. Dr. Ankur Saxena is currently working as an Assistant Professor at Amity University Uttar Pradesh, Noida Dr. Sabia Rashid is currently working as a consultant hematologist at Queen Elizabeth Hospital and Kings College Hospital in London, UK

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Includes bibliographical references and index.

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Biblioteca Universității "Dunărea de Jos" din Galați