Tai, Dean

An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD)

Vacca, M., Kamzolas, I., Harder, L. M., Oakley, F., Trautwein, C., Hatting, M., Ross, T., Bernardo, B., Oldenburger, A., Hjuler, S. T., et al. (2024) · Nature Metabolism

Liver Disease Diagnosis and TreatmentDiet, Metabolism, and Disease

Cited by 262

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

Mózes, F. E., Lee, J. A., Vali, Y., Alzoubi, O., Staufer, K., Trauner, M., Paternostro, R., Stauber, R. E., Holleboom, A. G., van Dijk, A.-M., et al. (2023) · The Lancet Gastroenterology & Hepatology

Liver Disease Diagnosis and TreatmentLiver Disease and Transplantation

Cited by 214

Digital pathology with artificial intelligence analyses provides greater insights into treatment-induced fibrosis regression in NASH

Naoumov, N. V., Brees, D., Loeffler, J., Chng, E., Ren, Y., Lopez, P., Tai, D., Lamle, S., & Sanyal, A. J. (2022) · Journal of Hepatology

Liver Disease Diagnosis and TreatmentLiver physiology and pathology

Cited by 115

OS-124 Identification and validation of pre-identified morphological baseline features for prediction of fibrosis progression in MAESTRO-NASH

Harrison, S. A., Taub, R., Labriola, D., Zhang, H., Chng, E., Ren, Y., Tai, D., & Schattenberg, J. M. (2024) · Journal of Hepatology

Liver Disease Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

Cited by 3