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

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 ...

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 ...

The role of adjuvant chemotherapy in stage II colon cancer continues to be debated. The presence of circulating tumor DNA (ctDNA) after surgery predicts very poor recurrence-free survival, whereas its ...

Plasma samples, clinical data, and imaging results were collected from 319 patients. A tumor-informed ctDNA assay was used for analysis. Patients were divided into discovery (167 patients) and ...

Comparison of the efficacy between the gemcitabine/cisplatin (GP) and capecitabine/cisplatin (XP) for the advanced biliary tract cancer: Retrospective analysis in a single institution. Background: ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...