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2023 NLA Scientific Sessions Abstracts

Click on the posters to see an enlarged version, or scan the QR Codes with your phone to have a touch-free experience. 

A machine-learning algorithm using claims data to identify patients withhomozygous familial hypercholesterolemia (HoFH)

Presenting Author: Jing Gu
Authors: Jing Gu, Xinshuo Ma, Matthew Epland, Jina Park, Robert J Sanchez, Ying Li

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Poster 138

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Pharmacokinetics of mibavademab in healthy participants:Results from a randomized, Phase 1, two-part, first-in-human study

Presenting Author: Jeanne Mendell
Authors: Jeanne Mendell, Andrew Gewitz, Yuhuan Wang, Lutz Harnisch, Benjamin A. Olenchock, Hao Pan, Simona Podgrabinska, Wenjun Zheng, An Zhao, Frédéric Vanhoutte, John D. Davis

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Poster 188

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Severe heterozygous familial hypercholesterolemia and elevated lipoprotein(a): a double whammy

Presenting Author: Lakshmi Parvathinathan
Authors: Isaac Elysee, Archna Bajaj

Poster 144

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Lipoprotein(a): mirroring Familial Hypercholesterolemia

Presenting Author: Lakshmi Parvathinathan
Authors: Archna Bajaj

Poster 158

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