Samar H. Ibrahim, Maureen M. Jonas, Sarah A. Taylor, Luz Helena Gutierrez Sanchez, Jaqueline L. Wolf, Shikha S. Sundaram – 10 January 2020 – Liver diseases affecting the mother and infant dyad may present in the perinatal period from 20 weeks of gestation to 28 days of life. This review will focus on the current approach to neonatal acute liver failure and the progress made in the diagnosis and management of gestational alloimmune liver disease. It will highlight mother‐to‐child transmission of viral hepatitis, both management and public health implications.

Samar H. Ibrahim, Maureen M. Jonas, Sarah A. Taylor, Luz Helena Gutierrez Sanchez, Jaqueline L. Wolf, Shikha S. Sundaram – 10 January 2020 – Liver diseases affecting the mother and infant dyad may present in the perinatal period from 20 weeks of gestation to 28 days of life. This review will focus on the current approach to neonatal acute liver failure and the progress made in the diagnosis and management of gestational alloimmune liver disease. It will highlight mother‐to‐child transmission of viral hepatitis, both management and public health implications.

Cory R. Schaffhausen, Marilyn J. Bruin, Sauman Chu, Helen Fu, Warren T. McKinney, David Schladt, Jon J. Snyder, W. Ray Kim, Jack R. Lake, Bertram L. Kasiske, Ajay K. Israni – 10 January 2020 – Variations in candidate and donor acceptance criteria may influence access and mortality for liver transplantation. We sought to understand how recipient and donor characteristics vary across centers and how patients interpret this information, and we used these data to develop a tool to provide tailored information to candidates seeking a center (www.transplantcentersearch.org).

Shabir Hassan, Shikha Sebastian, Sushila Maharjan, Ami Lesha, Anne‐Marie Carpenter, Xiuli Liu, Xin Xie, Carol Livermore, Yu Shrike Zhang, Ali Zarrinpar – 7 January 2020

Zhibin Liao, Lin Chen, Xuewu Zhang, Hongwei Zhang, Xiaolong Tan, Keshuai Dong, Xun Lu, He Zhu, Qiumeng Liu, Zhanguo Zhang, Zeyang Ding, Wei Dong, Peng Zhu, Liang Chu, Huifang Liang, Pran K. Datta, Bixiang Zhang, Xiaoping Chen – 6 January 2020

Zhichao Feng, Pengfei Rong, Wei Wang – 6 January 2020

Xinxing Tantai, Na Liu, Jinhai Wang – 6 January 2020

Austin Lin, Lindsay Alpert, John Hart, Christopher Chapman, Anjana A. Pillai – 6 January 2020

6 January 2020

Ashley Spann, Angeline Yasodhara, Justin Kang, Kymberly Watt, Bo Wang, Anna Goldenberg, Mamatha Bhat – 6 January 2020 – Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently and more effectively than conventional methods through detection of hidden patterns within large data sets. With this in mind, there are several areas within hepatology where these methods can be applied. In this review, we examine the literature pertaining to machine learning in hepatology and liver transplant medicine.