Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths—around 1.8 million lives lost each year. One of the main reasons is late ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Bayesian network models predict urgent care visits in patients with non–small cell lung cancer receiving systemic therapy. The first model (left) integrates clinical and patient-reported outcome data, ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

Lung cancer symptoms are often non-specific, leading to late detection and misattribution to less severe conditions. The GO2 for Lung Cancer provides resources, policy advocacy, and access to clinical ...