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 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

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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 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

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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 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

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