Computational integration of nanoscale physical biomarkers and cognitive assessments for Alzheimer’s disease diagnosis and prognosis

Author:

Yue Tao1ORCID,Jia Xinghua12ORCID,Petrosino Jennifer345,Sun Leming1,Fan Zhen1,Fine Jesse1,Davis Rebecca6ORCID,Galster Scott7ORCID,Kuret Jeff8ORCID,Scharre Douglas W.6ORCID,Zhang Mingjun149ORCID

Affiliation:

1. Department of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA.

2. ULC Robotics, Hauppauge, NY 11788, USA.

3. Biomedical Sciences Graduate Program, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.

4. Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.

5. Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, 370 W. 9th Avenue, Columbus, OH 43210, USA.

6. Department of Neurology, Division of Cognitive Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.

7. 711th Human Performance Wing, Air Force Research Laboratory, Wright-Patterson Air Force Base, OH 45433, USA.

8. Department of Biological Chemistry and Pharmacology, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.

9. Interdisciplinary Biophysics Graduate Program, The Ohio State University, Columbus, OH 43210, USA.

Abstract

Protein properties of AD patients can be computationally integrated with behavioral assessments for AD diagnosis and prognosis.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference54 articles.

1. Alzheimer’s Disease: The Challenge of the Second Century

2. J. W. Williams B. L. Plassman J. Burke T. Holsinger S. Benjamin Preventing Alzheimer’s Disease and Cognitive Decline (Agency for Healthcare Research and Quality 2010).

3. Alzheimer's disease

4. Alzheimer’s disease: Progress in prediction;Petersen R. C.;Lancet Neurol.,2010

5. Alzheimer's disease

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