This volume covers the state-of-the-art topics that investigate two significant neurological disorders, autism apectrum disorder (ASD) and Alzheimer's disease (AD), from the theoretical perspective and also focuses on the practical aspects. The materials are presented in a way that can be beneficial to both advanced and layman readers.
Autism spectrum disorder (ASD) and Alzheimer's disease (AD) are two significant neurological disorders, which represent the scope of this book. Both ASD and AD effect a significant number of the population and present themselves in numerous ways. This volume covers the state-of-the-art topics that investigate these two significant neurological disorders, not only from the theoretical perspective but also focuses on the practical aspects. The materials are presented in a way that can be beneficial to both advanced and layman readers. Several state-of-the-art machine learning techniques for the early diagnosis of ASD are presented in this book. Also, various studies are discussed to demonstrate the formation, cause, and medical treatments for the AD foetal disorder.
Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm—Volume 2: Genetics and Clinical Applications provides readers with a broad and detailed framework for radiomics and radiogenomics (R-n-R) approaches with AI in neuro-oncology. It delves into the study of cancer biology and genomics, presenting methods and techniques for analyzing these elements. The book also highlights current solutions that R-n-R can offer for personalized patient treatments, as well as discusses the limitations and future prospects of AI technologies. Volume 1: Radiogenomics Flow Using Artificial Intelligence covers the genomics and molecular study of brain cancer, medical imaging modalities and their analysis in neuro-oncology, and the development of prognostic and predictive models using radiomics. Volume 2: Genetics and Clinical Applications extends the discussion to imaging signatures that correlate with molecular characteristics of brain cancer, clinical applications of R-n-R in neuro-oncology, and the use of Machine Learning and Deep Learning approaches for R-n-R in neuro-oncology. - Includes coverage of foundational concepts of the emerging fields of Radiomics and Radiogenomics - Covers imaging signatures for brain cancer molecular characteristics, including Isocitrate Dehydrogenase Mutations (IDH), TP53 Mutations, ATRX loss, MGMT gene, Epidermal Growth Factor Receptor (EGFR), and other mutations - Presents clinical applications of R-n-R in neuro-oncology such as risk stratification, survival prediction, heterogeneity analysis, as well as early and accurate prognosis - Provides in-depth technical coverage of radiogenomics studies for difference brain cancer types, including glioblastoma, astrocytoma, CNS lymphoma, meningioma, acoustic neuroma, and hemangioblastoma
This volume covers the state-of-the-art topics that investigate two significant neurological disorders: the Autism Spectrum disorder (ASD) and Alzheimer's disease (AD) not only from the theoretical perspective but also focuses on the practical aspects. The materials are presented in a way that can be beneficial to both advanced and layman readers
This volume makes clear that the cognitive and behavioural symptoms of neurologic disorders and syndromes are dynamic and changing. Each chapter describes the neuroplastic processes at work in a particular condition, giving rise to these ongoing cognitive changes.
This book focuses on major trends and challenges in the area of dyslexia, epilepsy and Parkinson's, and aims to identify new techniques and their applications in biomedical analysis. This fifth volume on neurological disorders explores topics such as real-time epilepsy prediction applied on EEG pediatric data; delineation of epileptogenic zone; behavioral and biological correlates and treatment of dyslexia; potential biomarkers of Parkinson's disease; Rett Syndrome; and automatic assessment of motor impairments for Parkinson's disease. This is an essential reference for students and researchers in medical imaging, brain imaging, image processing, and neurology. Key Features World class contributors in neurological disorders imaging Presents a comprehensive review of imaging related dyslexia, epilepsy and Parkinson's Introductory section presents the fundamentals of various imaging techniques
This volume covers the state-of-the-art topics that investigate two significant neurological disorders: the Autism Spectrum disorder (ASD) and Alzheimer's disease (AD) not only from the theoretical perspective but also focuses on the practicalaspects. The materials are presented in a way that can be beneficial to both advanced and layman readers
A rare disease is a disease that occurs infrequently in the general population, typically affecting fewer than 200,000 Americans at any given time. More than 30 million people in the United States of America (USA) and 350 million people globally suffer from rare diseases. Out of the 7000+ known rare diseases, less than 5% have approved treatments. Rare diseases are frequently chronic, progressive, degenerative, and life-threatening, compromising the lives of patients by loss of autonomy. In the USA, it can take years for a rare disease patient to receive a correct diagnosis. The socioeconomic burden for rare disease is huge. For those living with diagnosed rare diseases, there is no support system or resource bank for navigating financial, educational, or other aspects of having a rare disease. The purpose of this Research Topic is to bring together leading researchers, non-profit organizations, healthcare providers/diagnostic companies, and pharma/biotech/CROs in the field to provide a broad perspective on the latest advances, challenges, and opportunities in rare disease research. A genomic approach to rare disease research is becoming the key to discovering unknown causes behind these syndromes. Genomic rare disease research has attracted not only academic researchers but also researchers from the biotech/pharma and non-profit organizations. The breadth and depth of current genomic approaches in rare disease is largely unexplored. While the creation of novel CRISPR mouse models and the use of NGS (ChIP Seq, RNA Seq, etc) have become more routine for fields such as oncology, rare disease researchers are now making advances in modifying and applying these approaches for rare diseases. This Research Topic provides a fruitful platform for rare disease researchers to share their findings and advance the field of genomics research in the rare disease space.
