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 ...

Results of an artificial intelligence–based tool to predict financial toxicity early to facilitate early referral to hospital social workers. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...

(a) Deep learning-based circulating exosome analysis for lung cancer detection (copyright American Chemical Society, 2024); (b) The operational mechanism of the Förster resonance energy transfer (FRET ...

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, ...

A new light-based sensor can spot incredibly tiny amounts of cancer biomarkers in blood, raising the possibility of earlier and simpler cancer detection. The technology merges DNA nanotechnology, ...

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.