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142,50 €Chapter 01 Breast Cancer Models
by Ramasamy Amsaveni and Veluswamy Bhuvaneshwari
Chapter 02 Lung Cancer Models
by Roma Pandey, Tanya Aggarwal, Madhav Sharan, Anjali Singh, Anamika Kushwaha, Sorabh Chaudhary, Avinash Singh, Santosh Kumar Mishra, and Pankaj Verma
Chapter 03 Colorectal Cancer Models
by Soumya Aggarwal and Khushboo Kumari
Chapter 04 Prostate Cancer Model
by Garima Gupta, Roma Chandra, Muskan Chauhan, and Yatender Kumar
Chapter 05 Models of Ovarian Cancer Metastasis
by Sourav Shukla, Astha Jadav, Shuvomoy Banerjee, Reena Agrawal Rajput, and Juni Banerjee
Chapter 06 Understanding the Coexistence of Retinoblastoma and Glaucoma: A Modeling System Overview
by Samriddhi Singh, Astha Agarwal, Khushi Kumari, and Monu Monu
Chapter 07 Oral Cancer Model
by Vandana, Pranjay Gupta, Kumud Bala, and Yash Sharma
Chapter 08 Liver Cancer: Epidemiology, Prevalence and Advanced Modeling Techniques
By Rohit Bhardwaj, Nidhi Sharma, and Satyendra Kumar Rajput
This volume offers a comprehensive exploration of prevalent cancers and the innovative modeling techniques driving advancements in treatment strategies. In today’s landscape of cancer research and therapeutic development, understanding the complexities of cancer biology and translating these insights into effective treatments is paramount. This book fills a crucial gap in the literature by providing a detailed examination of the diverse modeling approaches utilized in the study of prevalent cancers, including breast, lung, colorectal, prostate, ovarian, and melanoma.
Key Features
• The book provides a thorough examination of prevalent cancers, ensuring a comprehensive understanding of their modelling approaches authoritative resource.
• By integrating insights from in vitro, in vivo, and computational modelling techniques, the book offers a holistic perspective on cancer research and therapeutic development.
• Goes beyond theoretical concepts to offer practical insights into translating scientific discoveries into clinical applications.
• Readers gain valuable knowledge on how modelling approaches inform personalized medicine, therapeutic interventions, and clinical decision-making.
• Explores future directions in the field, highlighting emerging technologies, innovative methodologies, and promising avenues for therapeutic innovation.
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