Neta Zach
Neta Zach
Senior Director, Takeda Neuroscience
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
The PRO-ACT database: design, initial analyses, and predictive features
N Atassi, J Berry, A Shui, N Zach, A Sherman, E Sinani, J Walker, ...
Neurology 83 (19), 1719-1725, 2014
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression
R Küffner, N Zach, R Norel, J Hawe, D Schoenfeld, L Wang, G Li, L Fang, ...
Nature biotechnology 33 (1), 51-57, 2015
Predicting disease progression in amyotrophic lateral sclerosis
AA Taylor, C Fournier, M Polak, L Wang, N Zach, M Keymer, JD Glass, ...
Annals of clinical and translational neurology 3 (11), 866-875, 2016
Emergence of novel representations in primary motor cortex and premotor neurons during associative learning
N Zach, D Inbar, Y Grinvald, H Bergman, E Vaadia
Journal of Neuroscience 28 (38), 9545-9556, 2008
Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosis
T Fekete, N Zach, LR Mujica-Parodi, MR Turner
PloS one 8 (12), e85190, 2013
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
R Kueffner, N Zach, M Bronfeld, R Norel, N Atassi, V Balagurusamy, ...
Scientific reports 9 (1), 690, 2019
Being PRO-ACTive: what can a clinical trial database reveal about ALS?
N Zach, DL Ennist, AA Taylor, H Alon, A Sherman, R Kueffner, J Walker, ...
Neurotherapeutics 12, 417-423, 2015
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 (Suppl. 1), 28-49, 2020
Big data to smart data in Alzheimer's disease: Real-world examples of advanced modeling and simulation
M Haas, D Stephenson, K Romero, MF Gordon, N Zach, H Geerts, ...
Alzheimer's & Dementia 12 (9), 1022-1030, 2016
Challenges: crowdsourced solutions
E Bender
Nature 533 (7602), S62-S64, 2016
Laquinimod treatment improves myelination deficits at the transcriptional and ultrastructural levels in the YAC128 mouse model of Huntington disease
M Garcia-Miralles, NABM Yusof, JY Tan, CI Radulescu, H Sidik, LJ Tan, ...
Molecular neurobiology 56, 4464-4478, 2019
Item response theory analysis of the amyotrophic lateral sclerosis functional rating scale-revised in the pooled resource open-access ALS clinical trials database
ED Bacci, D Staniewska, KS Coyne, S Boyer, LA White, N Zach, ...
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 17 (3-4), 157-167, 2016
Segregation between acquisition and long‐term memory in sensorimotor learning
N Zach, N Kanarek, D Inbar, Y Grinvald, T Milestein, E Vaadia
European journal of neuroscience 22 (9), 2357-2362, 2005
Qualitative measures that assess functional disability and quality of life in ALS
SL Hartmaier, T Rhodes, SF Cook, C Schlusser, C Chen, S Han, N Zach, ...
Health and Quality of Life Outcomes 20 (1), 12, 2022
Epidemiology of amyotrophic lateral sclerosis: a population-based study in Israel
C Weil, N Zach, S Rishoni, V Shalev, G Chodick
Neuroepidemiology 47 (2), 76-81, 2016
Single neurons in M1 and premotor cortex directly reflect behavioral interference
N Zach, D Inbar, Y Grinvald, E Vaadia
PLoS One 7 (3), e32986, 2012
Being in time: Dynamical models of phenomenal experience
S Edelman, T Fekete, N Zach
John Benjamins Publishing, 2012
Design and analysis of a clinical trial using previous trials as historical control
DA Schoenfeld, DM Finkelstein, E Macklin, N Zach, DL Ennist, AA Taylor, ...
Clinical Trials 16 (5), 531-538, 2019
Being in time
S Edelman, N Zach, T Fekete
Being in Time, 1-277, 2012
ALSUntangled No. 30: Methylcobalamin
ALSUntangled Group
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 16 (7-8), 536-539, 2015
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