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Akalin, Enver

0000-0003-1341-5144

A5072618106 | I129975664

Mayo Clinic

Albert Einstein College of Medicine

Citations 2

Dynamic prediction of renal survival using artificial intelligence: an international study of deeply phenotyped cohorts of kidney transplant recipients

No container title available | October 9, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-85478/v1

Abstract The authors have requested that this preprint be removed from Research Square.
The COVID‐19 pandemic: A community approach

Clinical Transplantation | August 7, 2020 | Volume: 34 | Issue: 11 | Pages: No page available

10.1111/ctr.14059 | PMID 32762055

AbstractAn unprecedented global pandemic caused by a novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) has quickly overwhelmed the health care systems worldwide. While there is an absence of consensus among the community in how to manage solid organ transplant recipients and donors, a platform provided by the American Society of Transplantation online community “Outstanding Questions in Transplantation,” hosted a collaborative multicenter, multinational discussions to share knowledge in a rapidly evolving global situation. Here, we present a summary of the discussion in addition to the latest published literature.