 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Mengli Xiao and Kyle Molina.
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Connection Strength |
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0.294 |
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Xiao M, Molina KC, Aggarwal NR, Beaty LE, Bennett TD, Carlson NE, Fish LE, Hamer MK, Kwan BM, Mayer DA, Peers JL, Wynia MK, Ginde AA. A Machine Learning Method for Allocating Scarce COVID-19 Monoclonal Antibodies. JAMA Health Forum. 2024 Sep 06; 5(9):e242884.
Score: 0.237
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Aggarwal NR, Beaty LE, Bennett TD, Fish LE, Jacobs JR, Mayer DA, Molina KC, Peers JL, Richardson DB, Russell S, Varela A, Webb BJ, Wynia MK, Xiao M, Carlson NE, Ginde AA. Real-world use of nirmatrelvir-ritonavir in COVID-19 outpatients during BQ.1, BQ.1.1., and XBB.1.5 predominant omicron variants in three U.S. health systems: a retrospective cohort study. Lancet Reg Health Am. 2024 Mar; 31:100693.
Score: 0.057
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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