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

著者名：Kothawade PhD., Sachin Namdeo (EDT)/Pande PhD., Vishal V. (EDT)

Academic Press（2025/10/24発売）

• 言語：ENG
• ISBN：9780443335655
• eISBN：9780443335662

Description

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.- Addresses the critical need for a comprehensive resource that demystifies the integration of artificial intelligence in the management of triple-negative breast cancer- It not only explains the fundamentals of artificial intelligence, but also demonstrates its tangible impact on improving the diagnosis, treatment, and overall care of triple-negative breast cancer patients- Equips healthcare practitioners with the knowledge and tools to make informed decisions based on AI-driven insights- Inspires researchers and pharmaceutical professionals to leverage artificial intelligence for accelerated drug discovery, targeted therapies, and continuous advancements in TNBC treatment

Table of Contents

Section I: Foundations of artificial intelligence in triple-negative breast cancer1. Introduction of triple negative breast cancer and precision medicineBhushan R. Rane, Rutuja R. Sawant, Pankaj V. Mhatre and Sachin N. Kothawade2. Understanding the molecular landscape of triple-negative breast cancerIshrat Nazir, Ashish Garg, Sudarshan Singh and Sachin N. Kothawade3. Challenges in traditional TNBC therapiesSomdatta Chaudhari, Aishwarya Pandit, Mukund Salunke, Shailaja Jadhav, Aarti Kulkarni and Sachin N. Kothawade4. Fundamentals of artificial intelligence in healthcarePunam B. Rane, Bhushan R. Rane, Sachin N. Kothawade and Puja P. Chaure5. Artificial intelligence-driven precision medicine for triple negative breast cancerKuldeep Vinchurkar, Rohit Doke, Soham Joshi, Ganesh Muleva, Sudarshan Singh and Shradhanjali Singh6. Managing big data for TNBC researchSachin N. Kothawade, Sandesh S. Bole, Prashant B. Patil, Jayprakash S. Suryawanshi and Vishal V. PandeSection II: Applications and innovations in AI-driven precision medicine for TNBC7. Enhancing early detection and diagnosis using AI technologies in artificial intelligence- driven precision medicine for triple-negative breast cancerPrashant Patil, Ganesh Sonawane, Kajal Pansare and Sachin N. Kothawade8. Predictive modeling for treatment response in TNBCPooja V. Nagime, Sudarshan Singh and Sachin N. Kothawade9. AI-driven biomarker discovery and validationKunal Ganesh Raut, Anuruddha R. Chabukswar, Swati C. Jagdale, Pooja T. Giri and Yuvraj Patil10. Precision treatment planning and decision support systemsPrashant Tiwari, M Vijay Kumar, Sunil Kumar Kadiri, Sunny Rathee, Sakshi Soni and Debasis Sen11. AI in targeted drug discovery for TNBCSachin N. Kothawade, Shreya Bhosale, Rutuja Jedhe, Priti Mhaske and Supriya Makhare12. Integrating multiomics data for personalized TNBC managementUnmesh G. Bhamre, Harshal A. Kothawade, Deepali D. Bhandari, Sunil V. Amrutkar and Dattatraya M. Shinkar13. Transforming clinical trials with AI integration in TNBC researchSahebrao Boraste, Sakshi Wani and Deelip Derle14. Ethical and regulatory dimensions of AI in TNBC managementNeha Minocha, Sunil Kumar Kadiri, Prashant Tiwari and Deepika Yadav15. AI-driven approaches for cancer recurrence monitoringPopat Mohite, Showkhiya Khan, Shubham Munde and Sayali Churi16. Advancements in immunotherapy through AI-driven approachesPopat Mohite, Gaurav Sawant, Ishlok Khadka, Dharam Gharat, Kavita Dwivedi and Sachin N. Kothawade17. AI-driven prognostic and predictive modeling in triple-negative breast cancer (TNBC)Prachi Parvatikar, Ifat Fatima Hatterkihal, Pankaj Kumar Singh, Vijaylaxmi Patil, S.V. Patil, Kuldeep Vinchurkar, Hardik Rana and Sachin N. Kothawade18. Recent technologies for TNBC managementPoonam R. Inamdar, Ashwini R. Gawade, Parixit J. Bhandurge, Prajakta V. Adsule, Padmaja S. Kore and Sachin N. Kothawade