In the name of Allah the Merciful

Clinical Innovation in Rheumatology: Past, Present, and Future

Jason Liebowitz, Philip Seo, 1032074914, 1032074922, 978-1032074917, 9781032074917, 978-1032074924, 9781032074924, 978-1003207160, 9781003207160, B0BB8B9PPM

10 $

English | 2023 | PDF | 17 MB | 199 Pages

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Tremendous  advances have been made in the field of rheumatology, profoundly  changing our understanding of many rheumatologic conditions and creating  a new frontier for effective treatments. This book explains the most  significant advances in research and care and speculates as to what will  be the future of rheumatology over the next several decades, including  challenges and lessons learned from past experiences in the field. It  highlights landmark research articles and scientific discoveries,  discusses how big data, personalized medicine, new biomarkers for  disease, and other technological revolutions will shape the future,  making it a must-have resource for physicians from all regions of the  world.

Key Features
•  Includes concise yet thorough description of the landmark studies and  scientific breakthroughs coupled with easy-to-follow organizational  structure of chapters that are accessible to readers at different levels  of training.
• Brings together world-leading experts to provide a  fresh perspective to trainees such as residents and fellows-in-training,  as well as more senior clinicians and researchers across the field of  rheumatology and in specialties such as cardiology, dermatology,  pulmonology, nephrology, and neurology, all of whom care for patients  with rheumatologic conditions.
• Allows the authors to imagine and  speculate about the evolution of the field of rheumatology in the coming  decades. Examples of such speculative possibilities include use of  synovial biopsy to predict response to treatment in rheumatoid  arthritis, replacement of renal biopsy with urinary proteomics in  diagnosing and classifying lupus nephritis, use of new therapeutics to  obviate the need for steroids in the treatment of ANCA-associated  vasculitis, and the use of machine learning to evaluate subtle changes  in imaging for management of inflammatory arthritis.