Description: Neuroinflammation and Biomarker Discovery: From Mechanisms to Clinical Application offers a detailed exploration of the molecular and cellular processes underlying neuroinflammatory conditions. This essential reference addresses the urgent need for advanced biomarkers that can facilitate early diagnosis, monitor disease progression, and guide personalized treatments in neurodegenerative and autoimmune disorders such as Alzheimer's disease, Parkinson's disease, and multiple sclerosis. The book synthesizes current knowledge on neuroimmune interactions, glial cell activation, blood-brain barrier integrity, and innate immune signaling pathways, providing a comprehensive framework for understanding neuroinflammatory mechanisms. It also covers state-of-the-art platforms for biomarker discovery, including transcriptomics, proteomics, lipidomics, epigenomics, extracellular vesicles, and neuroimaging techniques, emphasizing their translational potential. The inclusion of disease-specific biomarker landscapes enhances its relevance for clinicians and researchers working in diagnostics and drug development. The final sections focus on translational applications, such as clinical trial design, biomarker validation, and the integration of AI-driven multi-omics data for personalized neuroimmunology. This volume is an indispensable resource for neuroscientists, clinicians, graduate students, biotech professionals, and data scientists seeking to advance understanding and innovation in neuroinflammatory research and clinical practice. By bridging basic science and clinical application, it aims to accelerate the development of targeted therapies and diagnostic tools, ultimately improving patient outcomes in neuroinflammatory diseases
Brief description: Arun Kumar Singh is an Assistant Professor in the Department of Pharmacy at University School of Pharmaceutical Sciences, Rayat Bahra University V.P.O. Sahauran, India. He completed his M.Pharm in Pharmaceutics from Galgotias University, Greater Noida. His research interests include nano-formulation, blockchain, IoT, machine learning, artificial intelligence, big data analytics, cancer biology, and neuroscience. He has contributed to academic books and book chapters and has published review articles in the areas of pharmaceutical sciences and healthcare technology. His work focuses on interdisciplinary approaches integrating pharmaceutical research with emerging digital and computational technologies.