Browsing: Machine

In a win for pollinator conservation, researchers at the University of California, Riverside, have developed a machine learning-based method to identify chemical compounds that can safely repel honey bees from pesticide-treated crops. The research offers a potential solution to one of agriculture’s most urgent ecological challenges: the ongoing decline in honey bee populations, driven in…

ACTIVATED clotting time prediction using machine learning achieved strong performance in patients with atrial fibrillation undergoing catheter ablation, with a deep neural network model outperforming five alternative algorithms in a retrospective analysis of 1,144 cases.