Tag: Machine Learning

Researchers used monotonic neural networks to show that designing residential water systems at the 98th rather than the 99th percentile ...

A two-center Chinese study shows that a machine learning model combining radiomics features from ultrasound and DCE MRI can non-invasively ...

Kyoto University researchers used machine learning to design a six-bacterium microbial community that significantly boosted tomato growth and high-temperature tolerance ...

Tohoku University researchers propose a framework called Physics-Grounded Materials AI that embeds thermodynamic, kinetic, and electronic-structure principles into machine learning ...

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and temporal process data to ...

A new graph-based framework translates RNA sequences into physicochemical interaction graphs, delivering interpretable subcellular localization predictions with just 2.05 million ...

Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to detect money laundering with 96.68 ...

A multicenter study shows that an explainable machine learning model combining cardiac CT angiography features with clinical data can predict ...

The latest volume of SLAS Discovery showcases how artificial intelligence, deep learning and data-mining strategies are accelerating drug discovery across ...

A new Perspective argues that electrically and magnetically driven active colloids should be understood as distributed micromachines whose power, sensing, ...

A new graph-structured Transformer model trained with self-supervised learning and community-consensus pseudo-labeling achieves record F1-scores for detecting cryptocurrency money laundering ...

A new leakage-audited benchmark shows that random data splitting inflates toxicity model performance by up to 0.079 AUROC points while ...

A real-world clinical validation of a commercial AI system for prostate MRI found high sensitivity for clinically significant cancer but ...

A new review maps how computational tools, from RNA folding algorithms to molecular dynamics simulations, are transforming the design of ...

A machine learning framework combining random forest prediction, neural network defect screening, and evolutionary optimization raised casting qualification rates to ...

A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled aggregate concrete ...

A machine learning study of 351 breast cancer patients shows that MRI radiomics features from both the tumor and its ...

Researchers in Pakistan have developed a real-time method that detects machine learning model drift in fog computing healthcare systems without ...

Researchers trained six machine learning models on 2,048 laboratory records and found gradient boosting predicts the compressive strength of cement-free ...

Researchers used machine learning, docking, and molecular dynamics to transform Traditional Chinese Medicine compounds into optimized computational leads against E. ...