Effectively merge basic science and clinical skills with Elsevier's Integrated Review Genetics, by Linda R. Adkison, PhD. This concise, high-yield title in the popular Integrated Review Series focuses on the core knowledge in genetics while linking that information to related concepts from other basic science disciplines. Case-based questions at the end of each chapter enable you to gauge your mastery of the material, and a color-coded format allows you to quickly find the specific guidance you need. Online access via www.studentconsult.com - included with your purchase - allows you to conveniently access the book's complete text and illustrations online as well as relevant content from other Student Consult titles. This concise and user-friendly reference provides crucial guidance for the early years of medical training and USMLE preparation. Spend more time reviewing and less time searching thanks to an extremely focused, "high-yield" presentation. Gauge your mastery of the material and build confidence with both case-based andUSMLE-style questions that provide effective chapter review and quick practice for your exams. Access the full contents online at www.studentconsult.com where you'll find the complete text and illustrations, "Integration Links" to bonus content in other Student Consult titles, an interactive community center with a wealth of additional resources, and much more! Grasp and retain vital concepts more easily thanks to a color-coded format, succinct text, key concept boxes, tables, and dynamic illustrations that facilitate learning in a highly visual approach. Effectively review for problem-based courses with the help of text boxes that help you clearly see the clinical relevance of the material. Great for visual learners!

'Medical Genetics' offers up-to-date information on modern genetics. This comprehensive study includes the latest findings from genetic research and how that knowledge can be used in clinical practice.

Whether you’re preparing for the USMLE Step 1, Step 2, or studying for course exams, Rapid Review Pathology, 5th Edition by acclaimed author Dr. Edward Goljan is your go-to guide for up-to-date, essential pathology information throughout medical school. User-friendly features that make this comprehensive review tool the top choice of students worldwide include an outline format, full-color layout, High-Yield Margin Notes, Key Points, and a strong clinical correlation throughout. This eBook experience allows you to search all of the text, figures, references, and animations, designed to produce a more rounded learning experience.

Prepare for success in nursing school and on the NCLEX® exam with Nursing Key Topics Review: Pathophysiology. This quick review makes studying more efficient by focusing on the most critical, practical, and relevant information. In addition, a mobile web app with audio summaries lets you review while on the go! Concise summary tables, illustrations, and quick, bulleted lists make it easier to glance through and remember concepts. Best of all, it’s easy for you to assess your understanding as you go along — since key pathophysiology content is immediately followed by review questions with correct answers and rationales. NEW! Emphasis on critical, practical, and relevant information helps you study and learn pharmacology in the most time-efficient way possible. NEW! NCLEX® exam-style review questions include answers and rationales, allowing you to assess your understanding and retention of the material. NEW! Audio summaries on a mobile web app make it easy to review anytime, anywhere. NEW! Content and format developed in response to student input ensures the presentation is as relevant as possible and conducive to workflow. NEW! Bulleted lists let you see key content at a glance, allowing for quick comprehension. NEW! Summary tables and illustrations make learning and review easier.

The Human Body: Linking Structure and Function provides knowledge on the human body's unique structure and how it works. Each chapter is designed to be easily understood, making the reading interesting and approachable. Organized by organ system, this succinct publication presents the functional relevance of developmental studies and integrates anatomical function with structure. Focuses on bodily functions and the human body's unique structure Offers insights into disease and disorders and their likely anatomical origin Explains how developmental lineage influences the integration of organ systems

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, have become more accessible and cost-effective over time. Integrating multi-omics data has become increasingly important in many research fields, such as bioinformatics, genomics, and systems biology. This integration allows researchers to understand complex interactions between biological molecules and pathways. It enables us to comprehensively understand complex biological systems, leading to new insights into disease mechanisms, drug discovery, and personalized medicine. Still, integrating various heterogeneous data types into a single learning model also comes with challenges. In this regard, learning algorithms have been vital in analyzing and integrating these large-scale heterogeneous data sets into one learning model. This book overviews the latest multi-omics technologies, machine learning techniques for data integration, and multi-omics databases for validation. It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others. The book categorizes different levels of integrations, ranging from early, middle, or late-stage among multi-view models. The underlying models target different objectives, such as knowledge discovery, pattern recognition, disease-related biomarkers, and validation tools for multi-omics data. Finally, the book emphasizes practical applications and case studies, making it an essential resource for researchers and practitioners looking to apply machine learning to their multi-omics data sets. The book covers data preprocessing, feature selection, and model evaluation, providing readers with a practical guide to implementing machine learning techniques on various multi-omics data sets.

Bonus Student Consult access - included with the text - allows readers to conveniently access the book's content online. These concise and user-friendly references provide crucial knowledge for the early years of medical training, as well as for exam preparation.