AI Model for Predicting IVIG Resistance in Kawasaki Disease Fades Over Time, Study Shows
A multicenter pediatric cohort study shows that a machine learning model for predicting IVIG resistance in Kawasaki disease loses accuracy ...
A multicenter pediatric cohort study shows that a machine learning model for predicting IVIG resistance in Kawasaki disease loses accuracy ...
A hyperspectral imaging study shows that near-infrared spectra can nondestructively predict hardness, resilience, and chewiness in sesame protein meat analogs.
Artificial intelligence is quietly rewriting one of the oldest problems in data science: predicting what happens next. A new editorial ...
Every dyed fabric tells a story of slow defeat. Sunlight, moisture, and heat conspire to break the chemical bonds that ...
A new in silico study screens more than 800 phytochemicals for blood-brain barrier permeability, identifying 52 molecules that may cross ...
A neural network trained on unlabeled drone imagery of lupine, maize, soybean, and sunflower taught itself to distinguish crop types ...
Chemists at Yokohama National University combined competition experiments, 3D electronic data and machine learning to predict ketone reaction sites and ...
Researchers have produced the first validated map of soil organic carbon stocks across Sudan's Blue Nile clay plains using regression ...
Ground-based synthetic aperture radar has become one of the most informative instruments available for monitoring the surface kinematics of unstable ...
New ERP research shows that value cues enhance message-level integration during sentence comprehension in both young and older adults, while ...
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© 2025 Scienmag - Science Magazine