Ala-Eddin Al Moustafa – författare

This book aims to provide the reader with a complete understanding of the development of oral cancer by explaining the role of a wide variety of implicated risk factors and identifying their gene targets and key regulators. Some of the discussed risk factors are well known, including smoking, alcohol, betel quid chewing, and oncoviruses such as high-risk human papillomaviruses and Epstein-Barr virus; however, careful attention is also paid to less widely recognized factors, such as Qat chewing and yerba Mate consumption. The book concludes by describing and evaluating the most important strategies currently available for the prevention of oral carcinogenesis in humans. In presenting the most up-todate research and knowledge on these topics, this book will serve as a valuable source of up-to-date information for oncologists, cancer scientists, and medical students.

This book aims to provide the reader with a complete understanding of the development of oral cancer by explaining the role of a wide variety of implicated risk factors and identifying their gene targets and key regulators. Some of the discussed risk factors are well known, including smoking, alcohol, betel quid chewing, and oncoviruses such as high-risk human papillomaviruses and Epstein-Barr virus; however, careful attention is also paid to less widely recognized factors, such as Qat chewing and yerba Mate consumption. The book concludes by describing and evaluating the most important strategies currently available for the prevention of oral carcinogenesis in humans. In presenting the most up-todate research and knowledge on these topics, this book will serve as a valuable source of up-to-date information for oncologists, cancer scientists, and medical students.

This book provides a unified framework for various currently available mathematical models that are used to analyze progression and regression in cancer development, and to predict its dynamics with respect to therapeutic interventions. Accurate and reliable model representations of cancer dynamics are milestones in the field of cancer research. Mathematical modeling approaches are becoming increasingly common in cancer research, as these quantitative approaches can help to validate hypotheses concerning cancer dynamics and thus elucidate the complexly interlaced mechanisms involved. Even though the related conceptual and technical information is growing at an exponential rate, the application of said information and realization of useful healthcare devices are lagging behind.In order to remedy this discrepancy, more interdisciplinary research works and course curricula need to be introduced in academic, industrial, and clinical organizations alike. To that end, this book reformulates most of the existing mathematical models as special cases of a general model, allowing readers to easily get an overall idea of cancer dynamics and its modeling. Moreover, the book will help bridge the gap between biologists and engineers, as it brings together cancer dynamics, the main steps involved in mathematical modeling, and control strategies developed for cancer management. This also allows readers in both medical and engineering fields to compare and contrast all the therapy-based models developed to date using a single source, and to identify unexplored research directions.

This book provides a unified framework for various currently available mathematical models that are used to analyze progression and regression in cancer development, and to predict its dynamics with respect to therapeutic interventions. Accurate and reliable model representations of cancer dynamics are milestones in the field of cancer research. Mathematical modeling approaches are becoming increasingly common in cancer research, as these quantitative approaches can help to validate hypotheses concerning cancer dynamics and thus elucidate the complexly interlaced mechanisms involved. Even though the related conceptual and technical information is growing at an exponential rate, the application of said information and realization of useful healthcare devices are lagging behind.In order to remedy this discrepancy, more interdisciplinary research works and course curricula need to be introduced in academic, industrial, and clinical organizations alike. To that end, this book reformulates most of the existing mathematical models as special cases of a general model, allowing readers to easily get an overall idea of cancer dynamics and its modeling. Moreover, the book will help bridge the gap between biologists and engineers, as it brings together cancer dynamics, the main steps involved in mathematical modeling, and control strategies developed for cancer management. This also allows readers in both medical and engineering fields to compare and contrast all the therapy-based models developed to date using a single source, and to identify unexplored research directions.