AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

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

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

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.

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, ...

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

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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 ...