Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
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.
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
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 ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
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