Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
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Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of a next-generation biocompatible titanium alloy, potentially improving the ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
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