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Studies in Health Technology and Informatics|June 8, 2022
Identifying New COVID-19 Variants from Spike Proteins Using Novelty DetectionSayantani Basu, Roy H CampbellChaos, Solitons, and Fractals|August 25, 2020
Going by the numbers : Learning and modeling COVID-19 disease dynamicsSayantani Basu, Roy H CampbellPlos One|July 9, 2019
Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memoryYu-Wei Lin, Yuqian Zhou, Faraz Faghri, et al.Plos Biology|July 8, 2015
Big Data: Astronomical or Genomical?Zachary D Stephens, Skylar Y Lee, Faraz Faghri, et al.The Lancet. Digital Health|March 28, 2022
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning studyFaraz Faghri, Fabian Brunn, Anant Dadu, et al.Patterns (New York, N.Y.)|July 6, 2023
Application of Aligned-UMAP to longitudinal biomedical studiesAnant Dadu, Vipul K Satone, Rachneet Kaur, et al.NPJ Parkinson'S Disease|December 16, 2022
Identification and prediction of Parkinson's disease subtypes and progression using machine learning in two cohortsAnant Dadu, Vipul Satone, Rachneet Kaur, et al.NPJ Parkinson'S Disease|April 2, 2022
Multi-modality machine learning predicting Parkinson's diseaseMary B Makarious, Hampton L Leonard, Dan Vitale, et al.Neurobiology of Aging|June 13, 2017
NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseasesCornelis Blauwendraat, Faraz Faghri, Lasse Pihlstrom, et al.Neuron|March 24, 2018
Genome-wide Analyses Identify KIF5A as a Novel ALS GeneAude Nicolas, Kevin P Kenna, Alan E Renton, et al.Pageof 2