Vander's Renal Physiology, Tenth Edition
Step 1. Download Adobe Digital Editions Both PC and Mac users will need to download Adobe Digital Editions to access their eBook. You can download Adobe Digital Editions at Adobe's website here.
Step 2. Register an Adobe ID if you do not already have one. (This step is optional, but allows you to open the file on multiple devices) Visit account.Adobe.com to register your Adobe account.
Step 3: Authorize Adobe Digital Editions using your Adobe ID. In Adobe Digital Editions, go to the Help menu. Choose “Authorize Computer.”
Step 4: Open your file with Adobe Digital Editions. Once you’ve linked your Adobe Digital Editions with your Adobe ID, you should be able to access your eBook on any device which supports Adobe Digital Editions and is authorized with your ID. If your eBook does not open in Adobe Digital Editions upon download, please contact customer service
The best review of renal physiology available for USMLE® Step 1—completely updated with the latest research
Combining the latest research with a fully integrated teaching approach, Vander’s Renal Physiology, Tenth Edition clearly and expertly explains how the kidneys affect other body systems and how they in turn are affected by these systems. There is no better way to learn the fundamental principles of the structure, function, and pathologies of the human kidney that are essential for an understanding of clinical medicine, than this time-tested resource.
Here’s why Vander’s is the best review of renal physiology available for the USMLE® Step 1:
- The text begins with the basics and works up to advanced principles
- All chapters have been revised to reflect the latest research and developments in the field
- Includes learning aids such as flow charts, diagrams, key concepts, clinical examples, boxed statements to emphasize major points, learning objectives, and review questions with answers and explanations
- Focuses on the goals of renal processes and the logic of them
- Presents the normal function of the kidney with clinical correlations to disease states