Modeling Prevalent Cancers

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.

Yash Sharma is Assistant Professor in the Department of Biotechnology, IILM University, Greater Noida, Uttar Pradesh, India. He has enriched academic and research experience of 7 years. After M.Tech., he worked as JRF and SRF in a DST SERB‑funded project “Formulation of Tobacco Stem Bioactive Compound Loaded Nanoparticle for Wound Healing” at Amity University, Noida. During his Ph.D., he was awarded the ICMR‑SRF fellowship on a project entitled “Anticancer Activity of Seed Cake Extract of O. Sanctum against OSCC Cell Line and It’s Tumor Suppressor Gene Analysis.” He is an experienced researcher focused on drug discovery and preclinical studies on cell lines and in vivo models.

Kumud Bala is currently working as Professor at Amity Institute of Biotechnology and Deputy Dean of Student Welfare at Amity University Uttar Pradesh, Noida. She attained her Ph.D. degree from Patna University, and her area of expertise is Cancer Immunology, Pharmacology, Plant Phytochemistry, Clinical Microbiology, Neuroendocrinology, Therapeutics, and Molecular Diagnostics. She has more than 27 years of teaching and research experience. She has published more than 50 publications including Research Papers, Review Articles, Books, and Book Chapters in Scopus‑indexed and peer‑reviewed journals of high impact. Currently, she is running more than four government‑funded projects and has completed two projects funded by ICMR and DST.

Sudhir Kumar Pal is Assistant Professor in the School of Engineering at IILM University, Greater Noida. He is Ph.D. from VIT, Vellore and completed his master’s as a Bioinformatician from DY Patil University, Navi Mumbai and bachelor’s with a specialization in Biotechnology from AAIDU, Prayagraj. During all his academic career, he has gained specialization in the field of Structural Biology and Bioinformatics. He also has 2 years of research experience from foreign universities like the University of South Bohemia and Masaryk University.

Monu Monu is Assistant Professor in the Department of Biotechnology at IILM University, Greater Noida, and holds a Ph.D. in Biological Sciences from the CSIR‑Institute of Genomics and Integrative Biology, Delhi, India. His research focuses on identifying disease‑associated specific proteins to understand rheumatoid arthritis (RA) pathogenesis and develop diagnosis methods. After completing his M.Tech. in Biotechnology, he has significantly contributed to multiple CSIR‑, ICMR‑, and DST‑funded projects covering diverse topics such as SARS‑CoV‑2 ocular infections, arthritis, cardiovascular disease, and Mycobacterium tuberculosis.