Leonid Hanin – författare
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2 produkter
2 produkter
Modeling Cancer Progression and the Effects of Treatment
Mathematical, Statistical and Computational Methodologies with Clinical Perspectives
Inbunden, Engelska, 2026
2 146 kr
Kommande
This book presents a heterodox approach to studying cancer progression in an individual patient and assessment of the effects of treatment. The book combines methodological, mathematical, statistical and computational sides of cancer modeling with biomedical and clinical insights. Understanding cancer-related processes through mathematical modeling reveals unobservable aspects of the natural history of cancer and unexpected effects of treatment. The book also gives an unvarnished account of what stands in the way of winning the war on cancer.
Del 9 - Series In Mathematical Biology And Medicine
Handbook Of Cancer Models With Applications
Inbunden, Engelska, 2008
3 390 kr
Tillfälligt slut
Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.