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Sakshi Sardar
Sakshi Sardar
Critical Path Institute
Verified email at c-path.org
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Cited by
Cited by
Year
Precompetitive consensus building to facilitate the use of digital health technologies to support parkinson disease drug development through regulatory science
D Stephenson, R Alexander, V Aggarwal, R Badawy, L Bain, R Bhatnagar, ...
Digital biomarkers 4 (1), 28-49, 2020
432020
How can natural language processing help model informed drug development?: a review
R Bhatnagar, S Sardar, M Beheshti, JT Podichetty
JAMIA Open 5 (2), ooac043, 2022
242022
Identifying and characterising sources of variability in digital outcome measures in Parkinson’s disease
G Roussos, TR Herrero, DL Hill, AV Dowling, M LTM Müller, LJW Evers, ...
npj Digital Medicine 5 (1), 1-10, 2022
72022
Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease
DL Hill, D Stephenson, J Brayanov, K Claes, R Badawy, S Sardar, ...
Sensors 22 (6), 2136, 2022
62022
Towards In-Situ Environmental Monitoring: On-Chip Sample Preparation and Detection of Lead in Sediment Samples Using Graphene Oxide Sensor
A Gholizadeh, S Sardar, K Francisco, A Maher, R Miskewitz, ...
IEEE Sensors Journal 20 (22), 13787-13795, 2020
52020
Improved Precision in Surface-Enhanced Raman Scattering Quantification of Analyte through Dual-Modality Multisite Sensing
S Sardar, L Fabris, M Javanmard
Analytical chemistry 91 (7), 4323-4330, 2018
52018
Metadata standards to support deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease
D Hill, D Stephenson, J Brayanov, K Claes, R Badawy, S Sardar, K Fisher, ...
MOVEMENT DISORDERS 36, S561-S561, 2021
12021
Developing better digital health measures of parkinson’s disease using free living data and a crowdsourced data analysis challenge
SK Sieberts, H Borzymowski, Y Guan, Y Huang, A Matzner, A Page, ...
medRxiv, 2021
12021
Data driven approaches for improving quantification accuracy in surface enhanced Raman spectroscopy sensing
S Sardar
Rutgers University-School of Graduate Studies, 2019
12019
A metadata-driven tool to determine the robustness of digital health technologies assessments for Parkinson’s disease leveraging the voice of the patient
S Sardar, R Bhatnagar, R Badawy, J Burton, V Aggarwal, K Romero, ...
MOVEMENT DISORDERS 36, S573-S573, 2021
2021
Identifying and Controlling Variability in Digital Health Measures in Parkinson’s disease Clinical Trials
G Roussos, R Bhatnagar, J Burton, J Cosman, A Derungs, AV Dowling, ...
MOVEMENT DISORDERS 36, S150-S150, 2021
2021
Improved accuracy in quantification of analyte through dual modality multisite sensing
S Sardar, L Fabris, M Javanmard
21st International Conference on Miniaturized Systems for Chemistry and Life …, 2020
2020
Surface Modifications Through Immobilization of Plasmonic Nanoparticles and Reduced Graphene Oxide for Biomedical and Energy Applications
S Sardar
Rutgers University, 2016
2016
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