Therapeutic Targets For Diabetic Retinopathy: A Translational Approach offers a consolidated view of this complex disorder by summarizing the latest evidence-based studies and translating their findings into practical, actionable knowledge. This concise resource covers the fundamentals of diabetic retinopathy and diabetic macular edema with an emphasis on basic science and therapeutic targets on the horizon. Ophthalmologists, optometrists, and researchers will find the translational approach to this common eye disorder to be useful in both research and clinical practice settings. Takes a concise yet comprehensive approach to diabetic eye disorders, covering basic science as well as therapeutic agents with both current and future clinical applications. Covers current diagnostic and management guidelines as well developments on the horizon that are likely to improve patient outcomes. Explains the pathophysiological mechanisms of diabetic retinopathy and diabetic macular edema from both a basic and clinical perspective, helping readers seek promising new therapeutic targets. Consolidates today's available information on this timely topic into a single, convenient resource.

This book constitutes the proceedings of the First Workshop on Computational Mathematics Modeling in Cancer Analysis (CMMCA2022), held in conjunction with MICCAI 2022, in Singapore in September 2022. Due to the COVID-19 pandemic restrictions, the CMMCA2022 was held virtually. DALI 2022 accepted 15 papers from the 16 submissions that were reviewed. A major focus of CMMCA2022 is to identify new cutting-edge techniques and their applications in cancer data analysis in response to trends and challenges in theoretical, computational and applied aspects of mathematics in cancer data analysis.

This book constitutes the proceedings of the 14th International Conference on Bioinformatics Research and Applications, ISBRA 2018, held in Beijing, China, in June 2018.The 24 full and 10 short papers presented in this volume were carefully reviewed and selected from a total of 138 submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.