Topic Editor, Prof. Heinrich Audebert, received funding from institutional funding by Roche Diagnostics International Ltd. and the Berlin Future Funds. The other Topic Editors declare no competing interests with regard to the Research Topic subject.

BM would like to declare that he has filed patents for the application of arginine-rich peptide as neuroprotective agents for stroke and other neurological disorders. RRR patents licensed by Neuronasal Inc., a company that he also consults for and has equity interest in. All other Topic Editors declare no competing interests with regards to the Research Topic subject.

Omics-based approaches have emerged as powerful tools in stroke research, revolutionizing our understanding of the underlying molecular mechanisms and potential therapeutic targets. These approaches encompass various disciplines such as genomics, transcriptomics, proteomics, metabolomics, radiomics, and epigenomics, enabling comprehensive analysis of biological and imaging markers and their interactions. Through genomics, researchers can identify genetic variants associated with stroke susceptibility, offering insights into individual risk factors and personalized medicine. Transcriptomics allows the investigation of gene expression patterns, highlighting key molecular pathways involved in stroke pathology and providing potential targets for intervention. Proteomics aids in the identification and quantification of proteins associated with stroke, aiding in the discovery of novel biomarkers and therapeutic targets. Metabolomics explores the metabolites involved in stroke pathophysiology, shedding light on metabolic alterations and potential therapeutic strategies. Radiomics involves the extraction and analysis of a multitude of quantitative features from medical imaging data, such as CT or MRI scans serving as potential imaging biomarkers, contributing to risk stratification and the identification of novel insights into stroke pathophysiology. Finally, epigenomics investigates modifications in gene expression without changing the DNA sequence, uncovering epigenetic mechanisms underlying stroke susceptibility and recovery. By integrating and analyzing data from these omics platforms, researchers can gain a comprehensive understanding of stroke pathogenesis, paving the way for the development of innovative diagnostic tools and effective therapeutic interventions.

Primer on Cerebrovascular Diseases, Second Edition, is a handy reference source for scientists, students, and physicians needing reliable, up-to-date information on basic mechanisms, physiology, pathophysiology, and medical issues related to brain vasculature. The book consists of short, specific chapters written by international experts on cerebral vasculature, presenting the information in a comprehensive and easily accessible manner. Numerous changes have occurred in the field since the publication of the first edition in 1997, particularly our understanding of the genetic aspects of cerebrovascular disease. This updated edition reflects the advances made over the last two decades, not only demonstrating the promise for therapy, but also for a molecular understanding of cerebrovascular diseases. The new edition includes new and expanded topics, including carotid stenting, Iatrogenic causes of stroke, axonal transport and injury, RNAIs, proteomics, and more. 2018 BMA Medical Book Awards Highly Commended in Neurology. - Provides concise chapters on topics in cerebral blood flow and metabolism, pathogenesis of cerebrovascular disorders, diagnostic testing, and management in a comprehensive and accessible format - Written by international leading authorities on cerebral vasculature - Provides up-to-date information on practical applications of basic research and the main clinical issues facing the community, such as axonal transport and proteomics

A rise in the number of young and old patients suffering from a stroke or traumatic brain injury has led to the need for better drug development and treatment, as well as diagnosis and prevention of ischemic stroke and traumatic brain injury. This book provides a comprehensive overview of scientific advancements in these areas. Chapters provide the latest knowledge in neuroscience, biotechnology, and personalized medicine applicable to acute brain injuries. Development of neuroprotective drugs is treated in detail. Chemical biomarkers for detection, imaging and preventative strategies are covered to provide medicinal chemists with a broad view of translational aspects of the field. This book will be useful to postgraduate students and researchers in medicinal chemistry and pharmacology as well as specialists in the acute brain injury field.

In this issue of Neuroimaging Clinics, guest editors Drs. Joseph Gemmete and Zachary Wilseck bring their considerable expertise to the topic of Advanced Imaging in Ischemic and Hemorrhagic Stroke. Top experts in the field discuss metabolic imaging such as PET, in vivo O17 MRS imaging, quantitative sodium MR imaging, pharmacological MRI (pHMRI), dual-energy CT, vessel wall imaging, and more. - Contains 11 relevant, practice-oriented topics including CT/CTA/perfusion in acute ischemic stroke/vasospasm; MRI/MRA/perfusion in acute ischemic stroke and vasospasm; MR imaging of cerebral aneurysmal wall for rupture risk; dual-energy CT in imaging of acute ischemic and hemorrhagic stroke; metabolic imaging of acute ischemic stroke (PET, spectroscopy, O17 imaging, sodium imaging, PH imaging); and more. - Provides in-depth clinical reviews on advanced imaging in ischemic and hemorrhagic stroke, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

A comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine learning in image processing and computer vision. Researchers are working to create new algorithms that combine the methods provided by CI approaches to solve the problems of image processing and computer vision such as image size, noise, illumination, and security. The 19 chapters in this book examine computational intelligence (CI) approaches as alternative solutions for automatic computer vision and image processing systems in a wide range of applications, using machine learning and soft computing. Applications highlighted in the book include: diagnostic and therapeutic techniques for ischemic stroke, object detection, tracking face detection and recognition; computational-based strategies for drug repositioning and improving performance with feature selection, extraction, and learning; methods capable of retrieving photometric and geometric transformed images; concepts of trading the cryptocurrency market based on smart price action strategies; comparative evaluation and prediction of exoplanets using machine learning methods; the risk of using failure rate with the help of MTTF and MTBF to calculate reliability; a detailed description of various techniques using edge detection algorithms; machine learning in smart houses; the strengths and limitations of swarm intelligence and computation; how to use bidirectional LSTM for heart arrhythmia detection; a comprehensive study of content-based image-retrieval techniques for feature extraction; machine learning approaches to understanding angiogenesis; handwritten image enhancement based on neutroscopic-fuzzy. Audience The book has been designed for researchers, engineers, graduate, and post-graduate students wanting to learn more about the theoretical and application aspects of soft computing and machine learning in image processing and computer vision.