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 ...
Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...
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 ...
Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
17h
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 ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...
Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...
A major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results