@article{b4d4042139964c7ca1c4ba368e2a8b64,
title = "Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the TTR V122I Variant",
keywords = "hereditary cardiac amyloidosis, metabolomics, prealbumin, random forest classification, restrictive cardiomyopathy, transthyretin",
author = "Park, \{Joshua K.\} and Petrazzini, \{Ben O.\} and Aparna Saha and Akhil Vaid and Vy, \{Ha My T.\} and Carla M{\'a}rquez-Luna and Lili Chan and Nadkarni, \{Girish N.\} and Ron Do",
note = "Funding Information: RD reported receiving grants from AstraZeneca; grants and nonfinancial support from Goldfinch Bio; being a scientific co-founder and equity holder for Pensieve Health; and being a consultant for Variant Bio, all unrelated to this work. GNN reported being a scientific co-founder, consultant, advisory board member, and equity owner of Renalytix AI; being a scientific co-founder and equity holder for Pensieve Health; being a consultant for Variant Bio; receiving grants from Goldfinch Bio; and receiving personal fees from Renalytix, BioVie, Reata, AstraZeneca, Menarini Health, Daiichi Sankyo, Cambridge Consulting, Qiming Capital and GLG Consulting, all unrelated to this work. Funding Information: RD is supported by National Institutes of Health grants R35-GM124836, R01-HL139865, and R01-HL155915. GNN is supported by National Institutes of Health grants R01-DK108803 and R01-HL155915. JKP is supported by National Institutes of Health grant 5T32GM007280-44. CML is supported by National Institutes of Health grant 5T32HL00782424.",
year = "2023",
month = apr,
day = "18",
doi = "10.1161/JAHA.122.027736",
language = "English",
volume = "12",
journal = "Journal of the American Heart Association",
issn = "2047-9980",
publisher = "American Heart Association Inc.",
number = "8",
}