Nanoparticles in the Management of Atherosclerosis: A Machine-Generated Literature Overview

The book's primary objective is to introduce the pathology and physiology atherosclerosis in brief, and its diagnosis and treatment. Atherosclerosis is an inflammatory disease of the arterial wall. An advanced understanding of atherosclerosis shows that it leads to myocardial infarction and other cardiovascular diseases, taking 17 million people every year worldwide. The literature suggests that atherosclerosis is an ancient disease and is still a long-standing health problem globally. Hence early diagnosis and treatment of atherosclerosis are crucial to solving long-standing health issues.

This book provides a systemic summary of recent literature focusing on disease pathology, advancement in diagnosis and therapies. Recently, nanoparticles performing dual roles as diagnostic and therapeutic agents have been keenly interested. However, the nanoparticle has yet to reach the clinic. Understanding the role of biomaterials in formulations and existing strategies is critical whendeveloping novel formulations and working on translation to clinical settings. The book provides a systematic biomaterial-based summary of the literature, methods used to formulate nanoparticles, and their scale-up potential. Another key objective of the book is to motivate the reader to conduct research on theranostic nanoparticles to treat atherosclerosis and put us one step closer to solving a long-standing health problematherosclerosis.

The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science handled by Subject Matter Experts and the external editor. The editor of this book selected which SN content should be auto-summarized and decided its order of appearance. Please be aware that the auto-summaries consist of original sentences, but are not representative of its original paper, since we do not show the full length of the publication. Please note that only published SN content is represented here, and that machine-generated books are still at an experimental stage.