Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...

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 ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

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 ...

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 ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...