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Viswanath Devanarayan

Showing results (11-20 of 64) with videos related to

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Alzheimer Disease and Associated Disorders|October 2, 2012
Evaluation of plasma proteomic data for Alzheimer disease state classification and for the prediction of progression from mild cognitive impairment to Alzheimer diseaseDaniel A Llano, Viswanath Devanarayan, Adam J Simon, et al.
The AAPS Journal|January 4, 2008
Confirmatory reanalysis of incurred bioanalytical samplesMario L Rocci, Viswanath Devanarayan, David B Haughey, et al.
Statistics in Medicine|September 2, 2022
Predictive signature development based on maximizing the area between receiver operating characteristic curvesXin Huang, Lu Tian, Yan Sun, et al.
Plos One|August 4, 2017
A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progressionDaniel A Llano, Saurabh Bundela, Raksha A Mudar, et al.
BMC Genomics|February 29, 2012
A hidden Markov model-based algorithm for identifying tumour subtype using array CGH dataKe Zhang, Yi Yang, Viswanath Devanarayan, et al.
Statistics in Medicine|February 2, 2017
Patient subgroup identification for clinical drug developmentXin Huang, Yan Sun, Paul Trow, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|March 5, 2025
Predicted natural progression as an Alzheimer's prognostic covariate improves the precision of lecanemab efficacy assessments and clinical trial efficiencyViswanath Devanarayan, Yuanqing Ye, Liang Zhu, et al.
Cells|December 2, 2020
Hearing Loss in Alzheimer's Disease Is Associated with Altered Serum Lipidomic Biomarker ProfilesDaniel A Llano, Lina K Issa, Priya Devanarayan, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|July 24, 2024
Plasma pTau181 enhances the prediction of future clinical decline in amyloid-positive mild cognitive impairmentViswanath Devanarayan, Daniel A Llano, Yan Helen Hu, et al.
The AAPS Journal|July 23, 2017
Recommendations for Systematic Statistical Computation of Immunogenicity Cut PointsViswanath Devanarayan, Wendell C Smith, Rocco L Brunelle, et al.
Pageof 7

Showing results (11-20 of 64) with videos related to

Sort By:
Pageof 7
Alzheimer Disease and Associated Disorders|October 2, 2012
Evaluation of plasma proteomic data for Alzheimer disease state classification and for the prediction of progression from mild cognitive impairment to Alzheimer diseaseDaniel A Llano, Viswanath Devanarayan, Adam J Simon, et al.
The AAPS Journal|January 4, 2008
Confirmatory reanalysis of incurred bioanalytical samplesMario L Rocci, Viswanath Devanarayan, David B Haughey, et al.
Statistics in Medicine|September 2, 2022
Predictive signature development based on maximizing the area between receiver operating characteristic curvesXin Huang, Lu Tian, Yan Sun, et al.
Plos One|August 4, 2017
A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progressionDaniel A Llano, Saurabh Bundela, Raksha A Mudar, et al.
BMC Genomics|February 29, 2012
A hidden Markov model-based algorithm for identifying tumour subtype using array CGH dataKe Zhang, Yi Yang, Viswanath Devanarayan, et al.
Statistics in Medicine|February 2, 2017
Patient subgroup identification for clinical drug developmentXin Huang, Yan Sun, Paul Trow, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|March 5, 2025
Predicted natural progression as an Alzheimer's prognostic covariate improves the precision of lecanemab efficacy assessments and clinical trial efficiencyViswanath Devanarayan, Yuanqing Ye, Liang Zhu, et al.
Cells|December 2, 2020
Hearing Loss in Alzheimer's Disease Is Associated with Altered Serum Lipidomic Biomarker ProfilesDaniel A Llano, Lina K Issa, Priya Devanarayan, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|July 24, 2024
Plasma pTau181 enhances the prediction of future clinical decline in amyloid-positive mild cognitive impairmentViswanath Devanarayan, Daniel A Llano, Yan Helen Hu, et al.
The AAPS Journal|July 23, 2017
Recommendations for Systematic Statistical Computation of Immunogenicity Cut PointsViswanath Devanarayan, Wendell C Smith, Rocco L Brunelle, et al.
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