Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of so...

This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques.Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorit...

Molecular Tools and Infectious Disease Epidemiology examines the opportunities and methodologic challenges in the application of modern molecular genetic and biologic techniques to infectious disease epidemiology. The application of these techniques dramatically improves the measurement of disease and putative risk factors, increasing our ability to detect and track outbreaks, identify risk factors and detect new infectious agents. However, integration of these techniques into epidemiologi...

Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesi...

The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs.The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharma...

This book describes, with references to key source materials, the background to, and conduct of, the principal nonclinical studies that are central to drug development. The chapters provide an understanding of the key components of the preclinical phase of drug development with a hands-on description, with core chapters addressing study conduct, types, and reporting. As such, it is a practical guide through toxicology testing and an up-to-date reference on current issues, new developments,...

Advances in Molecular Pathology is an annual review publication that covers the current practices and latest developments in the field of Molecular Pathology. Each issue is divided into sections for comprehensive coverage of all subspecialty areas within molecular pathology, including, Genetics, Hematopathology, Infectious Disease, Pharmacogenomics, Informatics, Solid Tumors, and special topics on COVID-19. The Editor-in-Chief of the publication is Dr. Gregory Tsongalis, a leading expert i...

Guest editor Thomas Penzel has assembled an expert team of authors on the topic of Technology to Assess Sleep. Article topics include: Sleep Apps using new sensor technologies; Sleep Apps to assess sleep quality; Pulse wave analysis; Peripheral arterial tone to assess sleep disordered breathing; Pulse transit time to assess cardiovascular function; A computer model of sleep and breathing regulation; Upper airway imaging; Quantifying leg movement disorders; Multi center sleep studies; Cardi...

Translational Medicine: Tools and Techniques provides a standardized path from basic research to the clinic and brings together various policy and practice issues to simplify the broad interdisciplinary field. With discussions from academic and industry leaders at international institutions who have successfully implemented translational medicine techniques and tools in various settings, readers will be guided through implementation strategies relevant to their own needs and institutions. ...

Chapter 1: Pathophysiology of Neurodegenerative Diseases: Unraveling the Mechanisms of Alzheimer's and Parkinson'sChapter 2: Hematologic Malignancies: Intersections with Neurological Manifestations and Treatment ImplicationsChapter 3: Advancing Imaging Techniques: MRI, PET, and Beyond in the Diagnosis of Neurodegenerative and Hematologic DisordersChapter 4: Deep Learning Applications in Neurology: Enhancing Dia...

Written by multidisciplinary experts in the fields of pharmaceutical and patient safety, Pharmacovigilance: A Practical Approach, Second Edition, provides a succinct, easy-to-digest overview of an increasingly critical area of medical safety. From cover to cover, this concise resource offers essential information for physicians and other health care professionals, clinical researchers, and regulators who need a comprehensive, up-to-date source of information on the principles and practice ...

An essential manual for the future of genetic counseling Genetic counselors possess the important set of skills necessary to face the unique challenges encountered within the laboratory. As the primary liaisons between genetic technologies and patient-facing clinicians, lab counselors must have equal competency in genetic testing protocols, interpretation, and communication of clinical recommendations. Practical Genetic Counseling for the Laboratory is the first b...