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The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset.
Kunz M, Rott KW, Hurwitz E, Kunisaki K, Sun J, Wilkins KJ, Islam JY, Patel R, Safo SE; National Covid Cohort Collaborative (N3C) Consortium. Kunz M, et al. Among authors: safo se. AIDS Behav. 2024 Feb 7. doi: 10.1007/s10461-024-04266-6. Online ahead of print. AIDS Behav. 2024. PMID: 38326668
mvlearnR and Shiny App for multiview learning.
Palzer EF, Safo SE. Palzer EF, et al. Among authors: safo se. Bioinform Adv. 2024 Jan 16;4(1):vbae005. doi: 10.1093/bioadv/vbae005. eCollection 2024. Bioinform Adv. 2024. PMID: 38304121 Free PMC article.
Development of a proteomic signature associated with severe disease for patients with COVID-19 using data from 5 multicenter, randomized, controlled, and prospective studies.
Castro-Pearson S, Samorodnitsky S, Yang K, Lotfi-Emran S, Ingraham NE, Bramante C, Jones EK, Greising S, Yu M, Steffen B, Svensson J, Åhlberg E, Österberg B, Wacker D, Guan W, Puskarich M, Smed-Sörensen A, Lusczek E, Safo SE, Tignanelli CJ. Castro-Pearson S, et al. Among authors: safo se. Sci Rep. 2023 Nov 20;13(1):20315. doi: 10.1038/s41598-023-46343-1. Sci Rep. 2023. PMID: 37985892 Free PMC article.
39 results