Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is ...
UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Objectives This study was to estimate the potential social value and net benefit of OpenUp, a 24/7 text-based online ...
2d
A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...
A major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...
Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results