Modeling Cancer Progression and the Effects of Treatment: Mathematical, Statistical and Computational Methodologies with Clinical Perspectives (De Gruyter Series in Mathematics and Life Sciences, 15)
by Leonid Hanin
This volume explores mathematical, statistical, and computational methodologies for modeling cancer progression and the effects of treatment. With clinical perspectives included, it presents an interdisciplinary resource connecting quantitative approaches with cancer research and medicine. The book is part of the De Gruyter Series in Mathematics and Life Sciences.
About This Book
Modeling Cancer Progression and the Effects of Treatment examines approaches to understanding cancer progression and treatment effects.
The book brings together mathematical, statistical, and computational methodologies relevant to cancer research.
Clinical perspectives connect these methodological approaches with medical applications and questions.
Written by Leonid Hanin, this volume appears in the De Gruyter Series in Mathematics and Life Sciences.
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