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

Über die Autorinnen und Autoren

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.

Von der hinteren Coverseite

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.

Key Features:

• 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