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This volumes details methods focusing on technological innovation and recent advances in diabetes management. Chapters will guide readers through recent advances, beta-cell regeneration, non-invasive imaging of endogenous, transplanted islets theranostics, microRNA profiling of beta-cells and artificial intelligence, and deep learning algorithms in diabetes. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Type-1 Diabetes: Methods and Protocols is for a broad audience including basic researches, clinicians, and physician scientists whose major focus is in diabetes.
The book presents a machine-generated literature review on CRISPR (clustered regularly interspaced short palindromic repeats) from 114 selected papers published by Springer Nature in the last few years, which are then organized by the book editors with a human-written introduction to each chapter. Each chapter presents summaries of predefined themes and provides the reader with a basis for further exploration of the topic. As one of the experimental projects initiated by Springer Nature for AI book content generation, this book shows the latest developments in the CRISPR field. It will be a useful reference for graduate students who are interested in CRISPR-related research and early-career researchers who need an overview of the current development of the field.
Traditional Chinese Medicine (TCM) contains an extensive knowledge that the Chinese nation has accumulated through practical experimentation and theoretical research in treating diseases and promoting health over a period of thousands of years.
This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs).
Introduces the concept, technology, and development of cell-based biosensors. This book provides readers with details on the cell-based biosensor models and novel micro-structure biosensor techniques. It explores various trends of cell-based biosensors, including integrated chips, nanotechnology and microfluidics.
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