Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.
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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
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