Bioinformatics in the Post-genomic Era: Genome, Transcriptome, Proteome, and Information-based Medicine

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Addison-Wesley, 2005 - Computers - 388 pages
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Although back pain is common, the fix isn't. Take Back Your Back shows you how to diagnose and manage your particular back pain and alerts you to red flags and often-misdiagnosed issues that may worsen your condition.

--Do you have non-radiating pain on one side of the spine? Your issue may be Muscle Injury, and you need to control inflammation.

--Does your pain shoot down the leg? You may have a Slipped Disc that requires physical therapy and possibly surgery.

--Does your pain worsen with sitting and ease off with walking? You may have Sciatic Nerve Compression and need special stretching exercises.

Leading back pain expert Beth Murinson, M.D., director of pain education at Johns Hopkins School of Medicine, brings together the latest science on back pain diagnosis and treatment from medications and surgical procedures to traditional physical therapy to alternative modalities such as acupuncture, meditation, and water and inversion therapies that are showing promise.

For each condition and procedure, you'll learn what to expect in the hospital or the doctor's office, what self-therapy solutions you can do on your own, and when to seek out intervention. Detailed illustrations and easy-to-understand descriptions help you select the best treatment options to improve your unique type of back pain and live a back-healthy life.

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Toward Personalized Medicine

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About the author (2005)

Jeff Augen has a 20-year history in information technology and computational biology. Most recently, as President and CEO of the technical computing software company TurboWorx Inc., Jeff has focused on the design of parallel computing solutions for biomedical research and drug discovery. In his former position as the Director of Strategy for IBM's Life Sciences Division, Jeff was responsible for the company's entry into several new areas of the life sciences computing market including, most notably, information-based medicine. He is a frequent speaker at industry events, a member of several editorial boards, and an author of many recent review articles and editorials, in addition to a chapter on computational biology for Anti-Cancer Drug Development; Lippincott 2003.

Augen's academic background includes graduate and undergraduate degrees in Biochemistry and Molecular Biology from the University of Texas and Rice University, respectively. His thesis research involved the development of algorithms for predicting protein tertiary structure.

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