
UNOS researchers discover a new way to predict kidney utilization rates
UNOS data science manager used natural language processing (NLP) to improve kidney utilization. Learn more about organ placement discoveries.
UNOS data science manager used natural language processing (NLP) to improve kidney utilization. Learn more about organ placement discoveries.
Research shows family patterns affecting risk can predict whether a living donor will develop end-stage renal disease decades after donating a kidney to a related recipient.
The addition of pancreas data was based on community feedback. UNOS researchers continue to develop new tools to assist members in their work to increase transplants.
Top UNOS researchers travel to the 2019 American Transplant Congress (ATC) to bring innovative research and policy expertise to an international scientific forum on transplantation.
UNOS Principal Data Analyst Sarah Taranto and Manager of Research Science Amber Wilk share tips to maximize data tools
UNOS researchers will present on the offer filers pilot and describe how this innovative tool will reduce ischemic times and increase utilization