Retinoids in Oncology

In this book, experts from premier institutions across the world with extensive experience in the field clearly and succinctly describe the current and anticipated uses of PET/MRI in oncology.

This book, authors discusses the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. Authors consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.

Applications of Biotechnology in Oncology collects key writings by Kewal K. Jain on the most important contributions of biotechnology to cancer research, particularly to the molecular diagnosis of cancer and drug delivery in cancer for personalized management of patients. Basics of various “omics” technologies and their application in oncology are described as oncogenomics and oncoproteomics.

Oncology is a field characterized as “medicine of high complexity” and cancer is generally regarded as a complex system. Therefore, it cannot be classified and treated according only to its biology. Even though research on the biology of cancer has increased and more studies have been published, the related sociological, political and economic dimensions, as well as mathematical models that predict whether this condition will take one course or another, have often been neglected. The Invisible Hand of Cancer—The Complex Force of Socioeconomic Factors in Oncology Today unfolds the variables behind the biological disease, exploring the social aspects and presenting cancer as a model inside of the Complexity Theory.