Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
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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 ...
Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...
Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is likely to be involved in an accident before getting behind the wheel. Road ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Add Yahoo as a preferred source to see more of our stories on Google. The House Judiciary, Rules and Administration committee voted 10-5 Wednesday to advance a bill that would create criminal ...
ABSTRACT: The ubiquitous use of biometric technology in contemporary society, from unlocking smartphones to enforcing border control and law, has raised concerns regarding its impact on minority ...
Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
Abstract: Machine learning-based hiring systems are increasingly adopted in recruitment due to their efficiency. However, the systems can inadvertently introduce or amplify biases, particularly gender ...
The ripeness level of bananas is a key factor for both producers and consumers, affecting the entire logistics chain of the fruit and its final price. Artificial intelligence techniques can be applied ...
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