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Mass spectrometry combined with machine learning identifies novel protein signatures as demonstrated with multisystem inflammatory syndrome in children.

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Title: Mass spectrometry combined with machine learning identifies novel protein signatures as demonstrated with multisystem inflammatory syndrome in children.
Authors: Guzmán Rivera, Jeisac1 (AUTHOR), Zheng, Haiyan2 (AUTHOR), Richlin, Benjamin3 (AUTHOR), Suarez, Christian3 (AUTHOR), Gaur, Sunanda3,4 (AUTHOR), Ricciardi, Elizabeth5 (AUTHOR), Hasan, Uzma N.5 (AUTHOR), Cuddy, William6 (AUTHOR), Singh, Aalok R.6,7 (AUTHOR), Bukulmez, Hulya8 (AUTHOR), Kaelber, David C.9 (AUTHOR), Kimura, Yukiko10 (AUTHOR), Brady, Patrick W.11 (AUTHOR), Wahezi, Dawn12 (AUTHOR), Rothschild, Evin12 (AUTHOR), Lakhani, Saquib A.13,14 (AUTHOR), Herbst, Katherine W.15 (AUTHOR), Hogan, Alexander H.16,17 (AUTHOR), Salazar, Juan C.18 (AUTHOR), Moroso-Fela, Sandra19 (AUTHOR)
Source: Scientific Reports. 10/22/2025, Vol. 15 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: Mass spectrometry combined with machine learning identifies novel protein signatures as demonstrated with multisystem inflammatory syndrome in children.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 10/22/2025, Vol. 15 Issue 1, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188904769
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        Value: 10.1038/s41598-025-20684-5
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              Text: 10/22/2025
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