Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

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 ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Assessment of Circulating Tumor DNA Burden in Patients With Metastatic Gastric Cancer Using Real-World Data Endometrial cancer (EC) is the most common gynecologic cancer in the United States with ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...