دانلود کتاب یادگیری عمیق برای درمان های هدفمند – تحول در بهداشت و درمان

Given the digital availability of knowledge today, deep learning (DL) has become a hot topic in the field of medicine in recent years. Deep learning is the general-purpose automatic learning procedure that is currently being widely implemented in a number of fields, including science, industry, and government. Since pharmaceutical formulation data consists of formulation combinations and methodological approaches that are neither image nor sequential data, this fully connected broad feed-forward network is a good option to predict pharmaceutical formulations. Moreover, targeted delivery of drugs to diseased tissues is another major challenge that can be solved by utilizing the deep learning framework. This book describes the importance of this framework for patient care, disease imaging/detection and health management. Since deep learning can play a major role in a patient’s healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases. In terms of its industrial significance, this general-purpose automatic learning procedure is being widely implemented in pharmaceutical healthcare. This book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems, site-specific drug delivery, risk assessment in therapy, etc. The profusely referenced and copiously illustrated 13 chapters are subdivided into various sections that were written by renown researchers from many parts of the world. It should be noted that since all chapters were deliberately reviewed and suitably revised once or twice, the information presented in this book is of the highest quality and meets the highest publication standards. Therefore, this book should be both immensely interesting and useful to researchers and those in industry working in the areas of clinical research, disease management, pharmaceuticals, R&D formulation, deep learning analytics, remote healthcare management, healthcare analytics, and deep learning in the healthcare industry.