Recent advances in healthcare research have increasingly leveraged routinely collected administrative data to monitor cancer recurrence. This approach circumvents the delays and resource-intensive ...

Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report Using publicly available translation tables along with clinician and other ...

Machine Learning–Based Analysis of Treatment Sequences Typology in Advanced Non–Small-Cell Lung Cancer Long-Term Survivors Treated With Nivolumab Deep convolutional neural networks were used to ...

Researchers have developed and validated a machine learning--based method to predict which patients with early-stage melanoma are most likely to experience a cancer recurrence. Most deaths from ...

Omitting race and ethnicity from colorectal cancer (CRC) recurrence risk prediction models could decrease their accuracy and fairness, particularly for minority groups, potentially leading to ...

Approximately 20% to 30% of men with prostate cancer experience disease recurrence within 5 years of therapeutic intervention. 1 A key challenge in managing these patients is a scarcity of accurate ...