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How machine learning could aid compatibility in kidney transplantation

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Through the PURM internship program, undergraduate students are further researching an algorithm developed to group kidney donor-recipient pairs into low-risk and high-risk groups for graft survival.

By Erica Moser

The United States saw a record 25,487 kidney transplants in 2021, according to the latest annual data report from the Organ Procurement and Transplantation Network and Scientific Registry of Transplant Recipients. Five years after transplantation, successful organ function—called graft survival—of kidneys from deceased donors was 81% among patients ages 18 to 34 and 68% among people older than 65.
Read the full article in Penn Today.

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Posted on

How machine learning could aid compatibility in kidney transplantation

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By Erica Moser

The United States saw a record 25,487 kidney transplants in 2021, according to the latest annual data report from the Organ Procurement and Transplantation Network and Scientific Registry of Transplant Recipients. Five years after transplantation, successful organ function—called graft survival—of kidneys from deceased donors was 81% among patients ages 18 to 34 and 68% among people older than 65.

Malek Kamoun of the Perelman School of Medicine and Ryan Urbanowicz of Cedars-Sinai Medical Center are developing machine learning strategies to improve kidney matching and decrease the risk of graft failure—with help from Penn students. Read the full article in Medical Xpress.

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