Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

IPDsim: An interpretable model to assess individual clinical antagonism in combination therapies for cancers. Model performance across development and validation cohorts.

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

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 ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...