Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...
Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
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