Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Michael Farnum"'
Autor:
Yuk Yee Leung, Jon B. Toledo, Alexey Nefedov, Robi Polikar, Nandini Raghavan, Sharon X. Xie, Michael Farnum, Tim Schultz, Young Baek, Vivianna M. Van Deerlin, William T. Hu, David M. Holtzman, Anne M. Fagan, Richard J. Perrin, Murray Grossman, Holly D. Soares, Mitchel A. Kling, Matthew Mailman, Steven E. Arnold, Vaibhav A. Narayan, Virginia M‐Y. Lee, Leslie M. Shaw, David Baker, Gayle M. Wittenberg, John Q. Trojanowski, Li‐San Wang, Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 1, Iss 3, Pp 339-348 (2015)
Abstract Introduction The dynamic range of cerebrospinal fluid (CSF) amyloid β (Aβ1–42) measurement does not parallel to cognitive changes in Alzheimer's disease (AD) and cognitively normal (CN) subjects across different studies. Therefore, ident
Externí odkaz:
https://doaj.org/article/42989bc2dc9e445d976979ab4e23062a
Autor:
Vaibhav A. Narayan, Eric Yang, Mahesh N. Samtani, Victor S. Lobanov, Michael Farnum, Yingqi Shi, Allitia DiBernardo, Tim Schultz, Nandini Raghavan, Gerald Novak
Publikováno v:
British Journal of Clinical Pharmacology. 75:146-161
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • Amnestic mild cognitive impairment MCI) represents the prodromal stage of Alzheimer's dementia and this disease progresses in a non-linear fashion. • Disease progression depends on a variety of demograph
Autor:
Nandini Raghavan, Victor S. Lobanov, Yingqi Shi, Allitia DiBernardo, Gerald Novak, Vaibhav A. Narayan, Eric Yang, Mahesh N. Samtani, Tim Schultz, Michael Farnum, Rudi Verbeeck
Publikováno v:
Journal of Alzheimer's Disease. 31:507-516
One of the challenges in developing a viable therapy for Alzheimer's disease has been demonstrating efficacy within a clinical trial. Using this as motivation, we sought to re-examine conventional clinical trial practices in order to determine whethe
Autor:
Maxim Shemanarev, Michael Farnum, Dimitris K. Agrafiotis, Dmitrii N. Rassokhin, Edward P. Jaeger, Victor S. Lobanov, Simson Alex, Sergei Izrailev
Publikováno v:
Journal of Chemical Information and Modeling. 51:3113-3130
Efficient substructure searching is a key requirement for any chemical information management system. In this paper, we describe the substructure search capabilities of ABCD, an integrated drug discovery informatics platform developed at JohnsonJohns
Publikováno v:
Journal of Chemical Information and Modeling. 47:69-75
A new radial space-filling method for visualizing cluster hierarchies is presented. The method, referred to as a radial clustergram, arranges the clusters into a series of layers, each representing a different level of the tree. It uses adjacency of
Publikováno v:
SLAS Discovery. 11:854-863
The genomics revolution has unveiled a wealth of poorly characterized proteins. Scientists are often able to produce milligram quantities of proteins for which function is unknown or hypothetical, based only on very distant sequence homology. Broadly
Autor:
Gayle M. Wittenberg, Vaibhav A. Narayan, Zhi Nie, Jiayu Zhou, Yashu Liu, Jieping Ye, Michael Farnum
Publikováno v:
Pacific Symposium on Biocomputing
Complex diseases such as major depression affect people over time in complicated patterns. Longitudinal data analysis is thus crucial for understanding and prognosis of such diseases and has received considerable attention in the biomedical research
Autor:
Gerald Novak, Nandini Raghavan, Mahesh N. Samtani, Michael Grundman, Vaibhav A. Narayan, Eric Yang, Allitia DiBernardo, Michael Farnum
Publikováno v:
Alzheimer's & Dementia. 9
Background The Alzheimer's Disease Assessment Scale-Cognitive (ADAS-Cog) has been used widely as a cognitive end point in Alzheimer's Disease (AD) clinical trials. Efforts to treat AD pathology at earlier stages have also used ADAS-Cog, but failure i
Autor:
Victor S. Lobanov, Laurent Alquier, Jeremy Kolpak, Michael Brennan, Joseph Ciervo, Dimitris K. Agrafiotis, Michael Farnum
Publikováno v:
BIBM
Monitoring ongoing clinical trials is a crucial activity for sponsors mandated by the FDA. Some of the important goals a re the early detection of safety issues, assurance of proper trial conduct at remote sites, and tracking efficiency and cost. Gen
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data
Autor:
Vaibhav A. Narayan, Michael Farnum, Eric Yang, Victor S. Lobanov, Rudi Verbeeck, Allitia DiBernardo, Jieping Ye, Gerald Novak, Nandini Raghavan
Publikováno v:
BMC Neurology
BMC Neurology, Vol 12, Iss 1, p 46 (2012)
BMC Neurology, Vol 12, Iss 1, p 46 (2012)
Background Patients with Mild Cognitive Impairment (MCI) are at high risk of progression to Alzheimer’s dementia. Identifying MCI individuals with high likelihood of conversion to dementia and the associated biosignatures has recently received incr