Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis

Winnie Y. Zou, Binu E. Enchakalody, Peng Zhang, Nidhi Shah, Sameer D. Saini, Nicholas C. Wang, Stewart C. Wang, Grace L. Su – 6 July 2021 – Body composition measures derived from already available electronic medical records (computed tomography [CT] scans) can have significant value, but automation of measurements is needed for clinical implementation. We sought to use artificial intelligence to develop an automated method to measure body composition and test the algorithm on a clinical cohort to predict mortality.

A Mammalian Target of Rapamycin‐Perilipin 3 (mTORC1‐Plin3) Pathway is essential to Activate Lipophagy and Protects Against Hepatosteatosis

Marina Garcia‐Macia, Adrián Santos‐Ledo, Jack Leslie, Hannah L. Paish, Amy L. Collins, Rebecca S. Scott, Abigail Watson, Rachel A. Burgoyne, Steve White, Jeremy French, John Hammond, Lee A. Borthwick, Jelena Mann, Juan P. Bolaños, Viktor I. Korolchuk, Fiona Oakley, Derek A. Mann – 6 July 2021

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