The review demonstrated a rise in publications related to AI/machine learning cancer pain research, with 1 article published between 2006 and 2009 and 26 published between 2020 and 2023. Artificial ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with hormone receptor (HR ...

A recent study reveals that integrating Artificial Intelligence (AI) into colon cancer diagnosis over the past five years has ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...