Artificial Intelligence-Driven Precision Medicine for Triple Negative Breast Cancer
Innovations and Insights in TNBC Management
- 1st Edition - October 24, 2025
- Latest edition
- Editors: Sachin Namdeo Kothawade, Vishal V. Pande
- Language: English
Artificial Intelligence-Driven Precision Medicine for Triple-Negative Breast Cancer: Innovations and Insights in TNBC Management is a groundbreaking exploration into the transf… Read more
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
Researchers working across the biosciences in fields of oncology
Section I: Foundations of artificial intelligence in triple-negative breast cancer
1. Introduction of triple negative breast cancer and precision medicine
Bhushan R. Rane, Rutuja R. Sawant, Pankaj V. Mhatre and Sachin N. Kothawade
2. Understanding the molecular landscape of triple-negative breast cancer
Ishrat Nazir, Ashish Garg, Sudarshan Singh and Sachin N. Kothawade
3. Challenges in traditional TNBC therapies
Somdatta Chaudhari, Aishwarya Pandit, Mukund Salunke, Shailaja Jadhav, Aarti Kulkarni and Sachin N. Kothawade
4. Fundamentals of artificial intelligence in healthcare
Punam B. Rane, Bhushan R. Rane, Sachin N. Kothawade and Puja P. Chaure
5. Artificial intelligence-driven precision medicine for triple negative breast cancer
Kuldeep Vinchurkar, Rohit Doke, Soham Joshi, Ganesh Muleva, Sudarshan Singh and Shradhanjali Singh
6. Managing big data for TNBC research
Sachin N. Kothawade, Sandesh S. Bole, Prashant B. Patil, Jayprakash S. Suryawanshi and Vishal V. Pande
Section II: Applications and innovations in AI-driven precision medicine for TNBC
7. Enhancing early detection and diagnosis using AI technologies in artificial intelligence- driven precision medicine for triple-negative breast cancer
Prashant Patil, Ganesh Sonawane, Kajal Pansare and Sachin N. Kothawade
8. Predictive modeling for treatment response in TNBC
Pooja V. Nagime, Sudarshan Singh and Sachin N. Kothawade
9. AI-driven biomarker discovery and validation
Kunal Ganesh Raut, Anuruddha R. Chabukswar, Swati C. Jagdale, Pooja T. Giri and Yuvraj Patil
10. Precision treatment planning and decision support systems
Prashant Tiwari, M Vijay Kumar, Sunil Kumar Kadiri, Sunny Rathee, Sakshi Soni and Debasis Sen
11. AI in targeted drug discovery for TNBC
Sachin N. Kothawade, Shreya Bhosale, Rutuja Jedhe, Priti Mhaske and Supriya Makhare
12. Integrating multiomics data for personalized TNBC management
Unmesh G. Bhamre, Harshal A. Kothawade, Deepali D. Bhandari, Sunil V. Amrutkar and Dattatraya M. Shinkar
13. Transforming clinical trials with AI integration in TNBC research
Sahebrao Boraste, Sakshi Wani and Deelip Derle
14. Ethical and regulatory dimensions of AI in TNBC management
Neha Minocha, Sunil Kumar Kadiri, Prashant Tiwari and Deepika Yadav
15. AI-driven approaches for cancer recurrence monitoring
Popat Mohite, Showkhiya Khan, Shubham Munde and Sayali Churi
16. Advancements in immunotherapy through AI-driven approaches
Popat Mohite, Gaurav Sawant, Ishlok Khadka, Dharam Gharat, Kavita Dwivedi and Sachin N. Kothawade
17. 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. Kothawade
18. Recent technologies for TNBC management
Poonam R. Inamdar, Ashwini R. Gawade, Parixit J. Bhandurge, Prajakta V. Adsule, Padmaja S. Kore and Sachin N. Kothawade
1. Introduction of triple negative breast cancer and precision medicine
Bhushan R. Rane, Rutuja R. Sawant, Pankaj V. Mhatre and Sachin N. Kothawade
2. Understanding the molecular landscape of triple-negative breast cancer
Ishrat Nazir, Ashish Garg, Sudarshan Singh and Sachin N. Kothawade
3. Challenges in traditional TNBC therapies
Somdatta Chaudhari, Aishwarya Pandit, Mukund Salunke, Shailaja Jadhav, Aarti Kulkarni and Sachin N. Kothawade
4. Fundamentals of artificial intelligence in healthcare
Punam B. Rane, Bhushan R. Rane, Sachin N. Kothawade and Puja P. Chaure
5. Artificial intelligence-driven precision medicine for triple negative breast cancer
Kuldeep Vinchurkar, Rohit Doke, Soham Joshi, Ganesh Muleva, Sudarshan Singh and Shradhanjali Singh
6. Managing big data for TNBC research
Sachin N. Kothawade, Sandesh S. Bole, Prashant B. Patil, Jayprakash S. Suryawanshi and Vishal V. Pande
Section II: Applications and innovations in AI-driven precision medicine for TNBC
7. Enhancing early detection and diagnosis using AI technologies in artificial intelligence- driven precision medicine for triple-negative breast cancer
Prashant Patil, Ganesh Sonawane, Kajal Pansare and Sachin N. Kothawade
8. Predictive modeling for treatment response in TNBC
Pooja V. Nagime, Sudarshan Singh and Sachin N. Kothawade
9. AI-driven biomarker discovery and validation
Kunal Ganesh Raut, Anuruddha R. Chabukswar, Swati C. Jagdale, Pooja T. Giri and Yuvraj Patil
10. Precision treatment planning and decision support systems
Prashant Tiwari, M Vijay Kumar, Sunil Kumar Kadiri, Sunny Rathee, Sakshi Soni and Debasis Sen
11. AI in targeted drug discovery for TNBC
Sachin N. Kothawade, Shreya Bhosale, Rutuja Jedhe, Priti Mhaske and Supriya Makhare
12. Integrating multiomics data for personalized TNBC management
Unmesh G. Bhamre, Harshal A. Kothawade, Deepali D. Bhandari, Sunil V. Amrutkar and Dattatraya M. Shinkar
13. Transforming clinical trials with AI integration in TNBC research
Sahebrao Boraste, Sakshi Wani and Deelip Derle
14. Ethical and regulatory dimensions of AI in TNBC management
Neha Minocha, Sunil Kumar Kadiri, Prashant Tiwari and Deepika Yadav
15. AI-driven approaches for cancer recurrence monitoring
Popat Mohite, Showkhiya Khan, Shubham Munde and Sayali Churi
16. Advancements in immunotherapy through AI-driven approaches
Popat Mohite, Gaurav Sawant, Ishlok Khadka, Dharam Gharat, Kavita Dwivedi and Sachin N. Kothawade
17. 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. Kothawade
18. Recent technologies for TNBC management
Poonam R. Inamdar, Ashwini R. Gawade, Parixit J. Bhandurge, Prajakta V. Adsule, Padmaja S. Kore and Sachin N. Kothawade
- Edition: 1
- Latest edition
- Published: October 24, 2025
- Language: English
SK
Sachin Namdeo Kothawade
Dr. Sachin Namdeo Kothawade is an Associate Professor in Pharmaceutics at SCSSS's Sitabai Thite College of Pharmacy, Shirur, Dist-Pune, Maharashtra, India. He holds a Ph.D. in Pharmaceutics, specializing in Novel Drug Delivery Systems, Nanoparticles, and Solubility Enhancement. Dr. Kothawade has authored and co-authored more than 50 research papers in National and International peer-reviewed journals. Additionally, he has published 10 textbooks and has filed 2 Indian Patents. Recognized for his contributions to pharmaceutical research, he is a life member of the Association of Pharmaceutical Teachers in India, actively participating in the academic community.
Affiliations and expertise
SCSSS's Sitabai Thite College of Pharmacy, Shirur, Dist-Pune, Maharashtra, IndiaVP
Vishal V. Pande
Dr. Vishal Vijay Pande is working as a Principal and Professor in. He has decades of teaching and indiusexperiencears of industrial experience and published more than 150 Research papers in National and International peer reviewed journals respectively. He has published 5 Textbooks on Pharmaceutical Engineering
Recently Institution of Chemists, Kolkata has elected him as Fellow of Institution of Chemists. He is recipient of DBT Foldscope Research Grant from Department of Biotechnology, New Delhi and MODROB grant from AICTE, New Delhi also Research grant from RGSTC, Mumbai.
He is life member of Association of Pharmaceutical Teacher in India, Indian Pharmaceutical Association, National Environmentalist Association, Ranchi, Institution of Chemists. Kolkata, Indian Society for Technical Education, Mumbai, Maharashtra State Pharmacy Council, Mumbai and International Association of Advanced Materials, Sweden.
Affiliations and expertise
Rashtriya Shikshan Mandal’s N.N. Sattha College of Pharmacy, India