Molecular bioelectronics is a field in strong evolution at the frontier of life and materials sciences. The term is utilized in a broad context to emphasize a unique blend of electronics and biotechnology which is seen as the best way to achieve many objectives of industrial and scientific relevance, including biomolecular engineering, bioelectronic devices, materials and sensors capable of optimal hardware efficiency and intelligence and molecular miniaturization.
Since the early times of the Greek philosophers Leucippus and Democritus, and later of the Roman philosopher Lucretius, a simple, fundamental idea emerged that brought the life sciences into the realm of the physical sciences. Atoms, after various interactions, were assumed to acquire stable configurations that corresponded either to the living or to the inanimate world. This simple and unitary theory, which has evolved in successive steps to our present time, remarkably maintained its validity despite several centuries of alternative vicissitudes, and is the foundation of modern biophysics. Some of the recent developments of this ancient idea are the discovery of the direct relationship between spatial structures and chemical activity of such molecules as methane and benzene, and the later discovery of the three-dimensional structure of double-helical DNA, and of its relationship with biological activity. The relationship between the structure of various macromolecules and the function of living cells was one of the most striking advancements of modern science, obtained by the cooperation of physicists, chemists, mathematicians, engineers, biologists, and physicians. This crossing of the life and physical sciences has given rise to new and exciting frontiers, and to a new synthesis where there is a frequent interconnection of expertise, and where there is an exchange of roles among traditionally separated soft and hard sciences. Even if knowledge is still transmitted to new generations within univer sities as separate disciplines, new knowledge is acquired today in the laboratory by truly interdisciplinary teams.
The treatment of a patient with radiation therapy is planned to find the optimal way to treat a tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability of accurate and quantitative knowledge of the peculiar responses of the different tissues is of paramount importance. This book provides an invaluable tutorial for radiation oncologists, medical physicists, and dosimetrists involved in the planning optimization phase of treatment. It presents a practical, accessible, and comprehensive summary of the field’s current research and knowledge regarding the response of normal tissues to radiation. This is the first comprehensive attempt to do so since the publication of the QUANTEC guidelines in 2010. Features: Addresses the lack of systemization in the field, providing educational materials on predictive models, including methods, tools, and the evaluation of uncertainties Collects the combined effects of features, other than dose, in predicting the risk of toxicity in radiation therapy Edited by two leading experts in the field
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