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Agostino Michael: Practical
Bioinformatics

Practical Bioinformatics

Oxford Biology Primers

The Molecular Biology of RNA gives a comprehensive overview of the rapidly expanding field of RNA biology, distilled into an accessible and compact primer. It covers the key discoveries and pioneers of the field, as well as providing students with an understanding of its biotechnical and biomedical applications of. Key features: - Oxford Biology Primers are the only resource to introduce prospective and current students of undergraduate-level bioscience to a range of topics from this dynamic experimental science, enticing readers to study further. - Its titles directly support two key transitions in the student journey: from school to undergraduate-level study, and from undergraduate to independent researcher. - Its modular format offers a high degree of flexibility, with teachers being able to draw on specific volumes that augment the post-16 curriculum and university lecturers being able to draw on specific volumes at different stages of the undergraduate curriculum. - All titles in the series are available for students and institutions to purchase in a variety of formats: the e-book and Science Trove offer a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support. For more information about e-books, please visit www.oxfordtextbooks.co.uk/ebooks <http: www.oxfordtextbooks.co.uk="" ebooks=""></http:>

Molecular Biology of RNA

Intelligence-Based Medicine: Subspecialty Series

Artificial Intelligence Based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine provides a comprehensive look into the integration of artificial intelligence within primary care. This book aims to bridge the gap between data scientists and primary care clinicians by presenting potential AI applications, implementation challenges, and real-world clinical scenarios in an accessible manner. Comprised of 5 sections and 20 chapters, it offers both theoretical insights and practical guidance for family medicine practitioners. Additionally, the book includes a chapter dedicated to a day in the life of a General Practitioner, showcasing the practical impact of AI. It also features an extra compendium listing the Top 100 articles and best books on Artificial Intelligence. This resource is invaluable for academics, researchers, and clinicians eager to expand their knowledge in this emerging field.

Artificial Intelligence and Human Cognition in General Practice and Family Medicine

Artificial Intelligence Based Primary Care

A Practical Introduction

Membrane Protein Bioinformatics

Dogs of War

Bee Speaker

The Life of an Evolutionary Naturalist

Enchanted by Daphne

Methods in Cell Biology

Immuno-oncology and Immunotherapy Part G: Volume 202

Advances in Industrial and Systems Engineering

Advances in Human-AI Collaboration

Distributed and Parallel Computing

Advances in Magnetic Resonance Technology and Applications

Advanced MR Techniques for Neurodegenerative Diseases covers state of the art developments in physiologic, metabolic, functional, and microstructural MRI of the brain. It provides an overview of these approaches and includes dynamic contrast enhanced (DCE) MRI, dynamic susceptibility contrast (DSC) MRI, arterial spin labeling (ASL), chemical exchange saturation transfer (CEST) MRI, magnetic resonance spectroscopy (MRS), resting state functional MRI (rsfMRI), microscopic diffusion imaging, and quantitative susceptibility mapping (QSM). Chapters then follow that present the application of these methods to Alzheimer’s Disease and vascular dementia, small vessel disease, Parkinson’s Disease, Lewy body dementia, Huntington’s Disease, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis. Advanced MR Techniques for Neurodegenerative Diseases is a comprehensive resource on the latest advanced MR techniques and their application to neurodegenerative diseases, suitable for MR engineers and physicists as well as clinicians and neuroscientists who use MR techniques for diagnosis and research.

Advanced MR Techniques for Neurodegenerative Diseases: Volume 13

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Women and Health, Third Edition, Volume Two provides a comprehensive overview of health issues affecting women at various stages of life, from adolescence to old age. Unlike other books that focus solely on reproductive health, this volume covers a broad spectrum of topics including osteoporosis, breast cancer, domestic violence, sexually transmitted diseases, occupational hazards, eating disorders, heart disease, chronic illnesses, substance abuse, and the impact of societal and behavioral factors on health. Its international perspective ensures a holistic approach to understanding women's health. In this new edition, the book emphasizes the health of mid-life and older women, incorporating the latest scientific findings and controversies. It delves into genetics and the influence of sex and gender on health, offering valuable insights for lay readers, clinicians, and health research scientists. This edition captures the maturity of the field of women's health since previous editions, presenting an updated compendium of the epidemiology of health conditions affecting women throughout their lives.

Volume 2

Women and Health

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Practical Bioinformatics

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