Vali, Yasaman

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Journal Article

Mózes, Ferenc E; Lee, Jenny A; Vali, Yasaman; Selvaraj, Emmanuel A; Jayaswal, Arjun N A; Boursier, Jérôme; de Lédinghen, Victor; Lupșor-Platon, Monica; Yilmaz, Yusuf; Chan, Wah-Kheong; Mahadeva, Sanjiv; Karlas, Thomas; Wiegand, Johannes; Shalimar, Shalimar; Tsochatzis, Emmanouil; Liguori, Antonio; Wong, Vincent Wai-Sun; Lee, Dae Ho; Holleboom, Adriaan G; van Dijk, Anne-Marieke; ... (2024). Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis. Liver international, 44(8), pp. 1872-1885. Wiley 10.1111/liv.15914

Vali, Yasaman; Lee, Jenny; Boursier, Jerome; Petta, Salvatore; Wonders, Kristy; Tiniakos, Dina; Bedossa, Pierre; Geier, Andreas; Francque, Sven; Allison, Mike; Papatheodoridis, Georgios; Cortez-Pinto, Helena; Pais, Raluca; Dufour, Jean-Francois; Leeming, Diana Julie; Harrison, Stephen A; Chen, Yu; Cobbold, Jeremy F; Pavlides, Michael; Holleboom, Adriaan G; ... (2023). Biomarkers for staging fibrosis and non-alcoholic steatohepatitis in non-alcoholic fatty liver disease (the LITMUS project): a comparative diagnostic accuracy study. The lancet. Gastroenterology & hepatology, 8(8), pp. 714-725. Elsevier 10.1016/S2468-1253(23)00017-1

Mózes, Ferenc E; Lee, Jenny A; Vali, Yasaman; Alzoubi, Osama; Staufer, Katharina; Trauner, Michael; Paternostro, Rafael; Stauber, Rudolf E; Holleboom, Adriaan G; van Dijk, Anne-Marieke; Mak, Anne Linde; Boursier, Jérôme; de Saint Loup, Marc; Shima, Toshihide; Bugianesi, Elisabetta; Gaia, Silvia; Armandi, Angelo; Shalimar, Shalimar; Lupșor-Platon, Monica; Wong, Vincent Wai-Sun; ... (2023). Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis. The lancet. Gastroenterology & hepatology, 8(8), pp. 704-713. Elsevier 10.1016/S2468-1253(23)00141-3

Lee, Jenny; Westphal, Max; Vali, Yasaman; Boursier, Jerome; Ostroff, Rachel; Alexander, Leigh; Chen, Yu; Fournier, Celine; Geier, Andreas; Francque, Sven; Wonders, Kristy; Tiniakos, Dina; Bedossa, Pierre; Allison, Mike; Papatheodoridis, Georgios; Cortez-Pinto, Helena; Pais, Raluca; Dufour, Jean-François; Leeming, Diana Julie; Harrison, Stephen; ... (2023). Machine learning algorithm improves detection of NASH (NAS-based) and at-risk NASH, a development and validation study. Hepatology, 78(1), pp. 258-271. Wiley 10.1097/HEP.0000000000000364

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