New AI Model Deciphers Mineral Patterns Hidden in Global Copper Deposits
A new hierarchical topic model reveals that regional rock type, not geological age, most strongly shapes mineral assemblages across more ...
A new hierarchical topic model reveals that regional rock type, not geological age, most strongly shapes mineral assemblages across more ...
An optimized gradient boosting model predicts biochar cation exchange capacity with high accuracy from biomass composition and pyrolysis conditions, validated ...
A two-decade bibliometric analysis of autoimmune hepatitis literature finds a marked surge after 2020 and a decisive shift toward microbiome, ...
Researchers constructed a fourteen-gene triaptosis-related prognostic model for lung adenocarcinoma using transcriptomic analysis, machine learning, single-cell sequencing, and experimental validation.
Researchers have combined biomarker-based biological indexing with machine learning to create reliable, transferable ecological risk zoning maps for soils contaminated ...
Researchers have developed an AI-driven multi-species toxicokinetic model that predicts tissue-specific chemical exposure and toxicity across 151 freshwater and marine ...
JMIR Publications' latest News and Perspectives features examine shadow AI in hospitals, voice-based disease detection, griefbots, and an FDA-approved prescription ...
Researchers at the Eastern Institute of Technology, Ningbo, developed a graph-based AI framework called GraphED that autonomously discovers interpretable constitutive ...
Researchers in Porto systematically showed that an inverse Quantile Graph mapping can generate synthetic time series that preserve marginal distributions ...
Researchers at IIT Roorkee have developed a fuzzy twin support vector machine that uses polycentric memberships and class probabilities to ...
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© 2025 Scienmag - Science Magazine