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 take shape ...
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 counselling service for youth in Hong Kong, and draw policy-relevant conclusions ...
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...
7d
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 ...
Hosted on MSN
'When is it enough?': Lawmakers advance bill criminalizing using the bathroom of another gender
The House Judiciary, Rules and Administration committee voted 10-5 Wednesday to advance a bill that would create criminal penalties for individuals who enter restrooms or changing facilities that do ...
Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results