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Full-Text Articles in Medicine and Health Sciences

Balance Training Reduces Falls Risk In Older Individuals With Type 2 Diabetes, Steven Morrison, Sheri R. Colberg, Mita Mariano, Henri K. Parson, Arthur I. Vinik Jan 2010

Balance Training Reduces Falls Risk In Older Individuals With Type 2 Diabetes, Steven Morrison, Sheri R. Colberg, Mita Mariano, Henri K. Parson, Arthur I. Vinik

Rehabilitation Sciences Faculty Publications

OBJECTIVE - This study assessed the effects of balance/strength training on falls risk and posture in older individuals with type 2 diabetes.

RESEARCH DESIGN AND METHODS - Sixteen individuals with type 2 diabetes and 21 age-matched control subjects (aged 50-75 years) participated. Postural stability and falls risk was assessed before and after a 6-week exercise program.

RESULTS - Diabetic individuals had significantly higher falls risk score compared with control subjects. The diabetic group also exhibited evidence of mild-to-moderate neuropathy, slower reaction times, and increased postural sway. Following exercise, the diabetic group showed significant improvements in leg strength, faster reaction times, …


Variable Number Of Tandem Repeat Polymorphisms (Vntrs) In The Acan Gene Associated With Pectus Excavatum, Michael W. Stacey, Serina Neumann, Ashley Dooley, Kara Segna, Robert Kelly, Donald Nuss, Anne Kuhn, Michael Goretsky, Annie Fecteau, Aimee Pastor, Virginia Proud Jan 2010

Variable Number Of Tandem Repeat Polymorphisms (Vntrs) In The Acan Gene Associated With Pectus Excavatum, Michael W. Stacey, Serina Neumann, Ashley Dooley, Kara Segna, Robert Kelly, Donald Nuss, Anne Kuhn, Michael Goretsky, Annie Fecteau, Aimee Pastor, Virginia Proud

Bioelectrics Publications

No abstract provided.


Adjacent Slice Prostate Cancer Prediction To Inform Maldi Imaging Biomarker Analysis, Shao-Hui Chuang, Xiaoyan Sun, Lisa Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Jiang Li, Frederic D. Mckenzie, Nico Karssemeijer (Ed.), Ronald M. Summers (Ed.) Jan 2010

Adjacent Slice Prostate Cancer Prediction To Inform Maldi Imaging Biomarker Analysis, Shao-Hui Chuang, Xiaoyan Sun, Lisa Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Jiang Li, Frederic D. Mckenzie, Nico Karssemeijer (Ed.), Ronald M. Summers (Ed.)

Electrical & Computer Engineering Faculty Publications

Prostate cancer is the second most common type of cancer among men in US [1]. Traditionally, prostate cancer diagnosis is made by the analysis of prostate-specific antigen (PSA) levels and histopathological images of biopsy samples under microscopes. Proteomic biomarkers can improve upon these methods. MALDI molecular spectra imaging is used to visualize protein/peptide concentrations across biopsy samples to search for biomarker candidates. Unfortunately, traditional processing methods require histopathological examination on one slice of a biopsy sample while the adjacent slice is subjected to the tissue destroying desorption and ionization processes of MALDI. The highest confidence tumor regions gained from the …