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The Defense Logistics Agency has published a white paper by David Bella pushing for machine learning to modernize logistics ...
shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...
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Deep learning algorithm uses mammograms and age for heart disease prediction
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...
Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.
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