Machine Learning Hunt Uncovers Three Molecular Culprits Behind Toxic Herb Kidney Disease
A combined network toxicology, machine learning, and experimental study has identified FABP3, PDE4B, and SLC1A3 as core candidate targets underlying...
Teresa Odom is a Scienmag editorial specialist profile for Machine Learning coverage.
A combined network toxicology, machine learning, and experimental study has identified FABP3, PDE4B, and SLC1A3 as core candidate targets underlying...
A 37-year analysis of daily rainfall across 13 stations in Tamil Nadu's Thanjavur district combines trend tests, clustering, and machine...
A study of 288 Ghanaian teacher trainees using double machine learning finds that openness, not conscientiousness, is the strongest personality...
Machine learning analysis of oral rinse samples from The Maastricht Study identified the protein REG1A as a non-invasive marker of...
A study of 1,117 prospective teachers in Spain and Mexico used K-Means and Gaussian Mixture Model clustering to identify three...
Researchers have developed a machine learning framework that uses an experimental database of 236 cyclically tested beam-column connections to identify...
A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language...
A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled aggregate concrete...
Researchers trained six machine learning models on 2,048 laboratory records and found gradient boosting predicts the compressive strength of cement-free...
Researchers in northern Iran combined satellite-derived terrain attributes with a support vector machine and factor analysis to map soil quality,...
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© 2025 Scienmag - Science Magazine