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Artificial Intelligence-Driven Precision Medicine for Triple Negative Breast Cancer: Innovations and Insights in TNBC Management

Artificial Intelligence-Driven Precision Medicine for Triple Negative Breast Cancer: Innovations and Insights in TNBC Management

          
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About the Book

Artificial Intelligence-Driven Precision Medicine for Triple-Negative Breast Cancer: Innovations and Insights in TNBC Management is a groundbreaking exploration into the transformative role of artificial intelligence in revolutionizing the management of triple-negative breast cancer (TNBC). In 19 chapters, this comprehensive guide navigates the intersection of cutting-edge technology and healthcare, offering insights that bridge the gap among medical professionals, researchers, and individuals affected by TNBC. Diving into the complexities of TNBC, this book unveils the potential of artificial intelligence (AI) in enhancing diagnostic accuracy, personalizing treatment strategies, and reshaping the landscape of breast cancer care. From radiomics and genomic data analysis to predictive modeling and patient engagement, each chapter unveils the latest innovations and provides the practical applications of AI to empower healthcare practitioners and improve patient outcomes. This book is a timely and valuable resource for health professionals, scientists and researchers, students, and all those who wish to broaden their knowledge in the allied field.

Table of Contents:
Section I: Foundations of Artificial Intelligence in Triple Negative Breast Cancer (TNBC) 1. Introduction to Triple Negative Breast Cancer and Precision Medicine 2. Understanding the Molecular Landscape of Triple Negative Breast Cancer 3. Challenges in Traditional TNBC Therapies 4. Fundamentals of Artificial Intelligence in Healthcare 5. The Intersection of AI and Oncology: A Comprehensive Overview 6. Managing Big Data for TNBC Research Section II: Applications and Innovations in AI-Driven Precision Medicine for TNBC 7. Enhancing Early Detection and Diagnosis using AI Technologies 8. Predictive Modeling for Treatment Response in TNBC 9. AI Driven Biomarker Discovery and Validation 10. Precision Treatment Planning and Decision Support Systems 11. AI in Targeted Drug Discovery for TNBC 12. Integrating Multi-Omics Data for Personalized TNBC Management 13. Transforming Clinical Trials with AI Integration in TNBC Research 14. Ethical and Regulatory Dimensions of AI in TNBC Management 15. AI-Driven Approaches for Cancer Recurrence Monitoring 16. Advancements in Immunotherapy through AI-driven Approaches 17. AI-Driven Prognostic and Predictive Modeling in TNBC 18. Emerging Technologies for TNBC Management


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Product Details
  • ISBN-13: 9780443335655
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 276 mm
  • No of Pages: 320
  • Width: 216 mm
  • ISBN-10: 0443335656
  • Publisher Date: 01 Oct 2025
  • Binding: Paperback
  • Language: English
  • Sub Title: Innovations and Insights in TNBC Management


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