A multidisciplinary team based at the University of Idaho received two supplemental grants totaling $600,000 from the National Science Foundation (NSF) to expand their work on tick-borne diseases. Their current NSF EPSCoR Track 2 program, TickBase, leverages big data to tackle the impacts of climate change on tick-borne diseases. The new grants will enable the …
Computer Science and Engineering Assistant Professor Tin Nguyen and his lab at the University of Nevada, Reno have developed software to help life scientists efficiently analyze single-cell data using machine learning.
University of Idaho researchers are leading a nearly $6 million National Science Foundation cooperative agreement, using large and complex data sets to improve prediction and response measures for tick-borne diseases.
Funding for this project provided by the National Science Foundation, Award Number 2019609.
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