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 ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
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 ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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