Artificial Intelligence-Driven Precision Medicine for Triple Negative Breast Cancer
Academic Press Inc (Verlag)
9780443335655 (ISBN)
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. 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.
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
| Erscheinungsdatum | 25.10.2025 |
|---|---|
| Verlagsort | San Diego |
| Sprache | englisch |
| Maße | 216 x 276 mm |
| Gewicht | 450 g |
| Themenwelt | Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie |
| Naturwissenschaften ► Biologie | |
| ISBN-13 | 9780443335655 / 9780443335655 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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