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Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.

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Title: Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.
Authors: Kosick, Heather Mary-Kathleen1,2 (AUTHOR) heather.evans@medportal.ca, McIntosh, Chris2,3 (AUTHOR), Bera, Chinmay1,2 (AUTHOR), Fakhriyehasl, Mina3 (AUTHOR), Shengir, Mohamed4 (AUTHOR), Adeyi, Oyedele5 (AUTHOR), Amiri, Leila1,2 (AUTHOR), Sebastiani, Giada4,6 (AUTHOR), Jhaveri, Kartik2,3 (AUTHOR), Patel, Keyur1,2 (AUTHOR)
Source: Scientific Reports. 7/7/2025, Vol. 15 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.
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