AI Model Predicts Chemical Toxicity Across 151 Fish Species
Researchers have developed an AI-driven multi-species toxicokinetic model that predicts tissue-specific chemical exposure and toxicity across 151 freshwater and marine ...
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 ...
A new review in Advanced Composites and Hybrid Materials details how advanced functional materials, signal decoupling strategies and artificial intelligence ...
Researchers at the University of Isfahan compared three water balance formulations against downscaled GRACE satellite gravity data and found that ...
Researchers have developed a framework that uses explainable AI to reconstruct missing privileged information, keeping LUPI classifiers accurate even when ...
A sweeping new survey in Artificial Intelligence Review maps the AI architectures transforming weather and climate prediction while exposing evaluation ...
A Nature Machine Intelligence perspective argues that large language models can serve as optimizers for experimental discovery, but only if ...
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© 2026 Scienmag - Science Magazine