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Nature Communications|September 26, 2022
Estimating individual treatment effect on disability progression in multiple sclerosis using deep learningJean-Pierre R Falet, Joshua Durso-Finley, Brennan Nichyporuk, et al.
Human Mutation|April 14, 2025
Estimating the Prevalence of GNE Myopathy Using Population Genetic DatabasesAlexa Derksen, Rachel Thompson, Madeeha Shaikh, et al.
Biophysical Journal|May 2, 2006
A fluctuation method to quantify in vivo fluorescence dataNitzan Rosenfeld, Theodore J Perkins, Uri Alon, et al.
JAMA Pediatrics|December 21, 2019
Assessment of Extubation Readiness Using Spontaneous Breathing Trials in Extremely Preterm NeonatesWissam Shalish, Lara Kanbar, Lajos Kovacs, et al.
Nature Protocols|July 13, 2013
Chromatin tandem affinity purification sequencingVahab D Soleimani, Gareth A Palidwor, Parameswaran Ramachandran, et al.
Scientific Reports|May 21, 2017
Induction of senescence in primary glioblastoma cells by serum and TGFβRitesh Kumar, Alexander Gont, Theodore J Perkins, et al.
The Journal of Pediatrics|November 9, 2018
The Impact of Time Interval between Extubation and Reintubation on Death or Bronchopulmonary Dysplasia in Extremely Preterm InfantsWissam Shalish, Lara Kanbar, Lajos Kovacs, et al.
Pediatric Research|July 29, 2022
Automated prediction of extubation success in extremely preterm infants: the APEX multicenter studyLara J Kanbar, Wissam Shalish, Charles C Onu, et al.
BMC Pediatrics|July 19, 2017
Prediction of Extubation readiness in extremely preterm infants by the automated analysis of cardiorespiratory behavior: study protocolWissam Shalish, Lara J Kanbar, Smita Rao, et al.
Pediatric Research|February 2, 2018
Patterns of reintubation in extremely preterm infants: a longitudinal cohort studyWissam Shalish, Lara Kanbar, Martin Keszler, et al.
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