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Antisense Technology, Part B: Applications
Antisense technology is the ability to manipulate gene expression within mammalian cells providing powerful experimental approaches for the study of gene function and gene regulation. For example, methods which inhibit gene expression permit studies probing the normal function of a specific product within a cell. Such methodology can be used in many disciplines such as pharmacology, oncology, genetics, cell biology, developmental biology, molecular biology, biochemistry, and neurosciences. This volume will be a truly important tool in biomedically-oriented research.The critically acclaimed laboratory standard for more than forty years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Since 1955, each volume has been eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with more than 300 volumes (all of them still in print), the series contains much material still relevant today-truly an essential publication for researchers in all fields of life sciences.
Early Diagnosis and Intervention in Predementia Alzheimer's Disease, An Issue of Medical Clinics
This issue of Medical Clinics covers the important advances surrounding the early intervention of Alzheimer's Disease. Guest edited by world-renowned experts from around the world, the topics covered will include evaluation of new diagnostic criteria, CSF biomarkers, diagnostic imaging, neurocognitive approaches, breaking clinical trials and more.
Innovating Health Against Future Pandemics
Innovating Health Against Future Pandemics covers the key aspects which drive heterogeneity in an individual's response to COVID-19, including age, sex, genetic makeup, immune responses, comorbidities, and viral strains/loads. This book also reviews the case examples from other disciplines to highlight areas where precision medicine and AI could be applied for the improvement of pandemic management. This includes research, primary and secondary prevention, isolation/tracking, hospitalization and patient management, diagnosis, and treatments. Lastly, drawing on past experiences for each of the areas this book provides practical recommendations to manage future pandemics. COVID-19 offered an unprecedented occasion to test the impact of digitally enabled solutions within precision medicine for public health and for accelerating their deployment and adoption. - Explores the benefits of AI technologies in triage, diagnosis, and risk prediction - Reviews the innovative clinical trial designs in terms of platforms and decentralization - Covers Healthcare workload, including remote monitoring to help prevent burnout
Deep Learning for Biomedical Data Analysis
This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (...
Nanoparticles in Cancer Theranostics
This book comprehensively reviews the application of nanoparticles in cancer diagnosis and treatment. The introductory section provides a fundamental understanding of cancer biology, its global incidence and prevalence, and the intricate nano–bio interactions at the cellular level. The subsequent section discusses the pivotal role of nanoparticles in precise cancer detection, enhancing cancer imaging and serving as contrast agents for accurate diagnosis. It also presents cutting-edge nanotechnology-based methods for detecting HTLV-1 retroviruses. The following section covers the utilization of lipid-based nanoparticles, monoclonal antibodies, and advanced nanotherapeutics for targeted cancer treatments. This book is a useful resource for researchers, clinicians, and students in the fields of oncology and nanotechnology.
Artificial Intelligence Applications and Innovations
This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recog...
