A new multicenter study just rolled out a shiny, interpretable machine learning model that predicts cage subsidence with ...
Autoimmune diseases—including vitiligo, multiple sclerosis, systemic lupus erythematosus, type 1 diabetes, rheumatoid arthritis, primary biliary cirrhosis ...
A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.
Abstract: The Vehicle Routing Problem with Multiple Soft Time Windows (VRPMSTW) is a challenging combinatorial optimization problem where a fleet of vehicles must deliver goods to a set of customers, ...
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