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 ...
UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
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 ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
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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