Branching Process Models of Cancer

Discover the intricate world of cancer research with Branching Process Models of Cancer by Richard Durrett, published by Springer International Publishing AG in 2015. This insightful 63-page volume delves into continuous time branching processes, applying these concepts to understand tumor growth rates. Building upon classic studies of the Luria-Delbruck distribution, Durrett offers a comprehensive examination of ovarian cancer screening strategies. Furthermore, the book provides rigorous proofs for significant results related to tumor metastasis, as established by Heano and Michor. Ideal for researchers and students alike, this paperback edition is a valuable resource for anyone interested in the mathematical modeling of cancer. Enhance your understanding of cancer dynamics with this essential read.