Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...
Among pediatric patients presenting to the emergency department (ED) with high fevers, pinpointing those at risk for developing sepsis “is akin to looking for a needle in the haystack,” said Elizabeth ...
1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China 2 Sichuan Lexi Expressway Co., Ltd., Chengdu, Sichuan, China ...
THURSDAY, Oct. 16, 2025 (HealthDay News) -- Artificial intelligence can help predict which children in the emergency department will develop sepsis within 48 hours, according to a study published ...
Having an accurate estimation for Arkansas’ above ground forest biomass has numerous economic and environmental impacts, Dr. Hamdi Zurqani told Talk Business & Politics. The key is to understand how ...
Hamdi Zurqani is an assistant professor of geospatial science for the Arkansas Forest Resources Center and the College of Forestry, Agriculture and Natural Resources at the University of Arkansas at ...
FAYETTEVILLE, Arkansas — Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to improve the speed and accuracy to measure how much ...
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