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

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

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 ...

Recurrent cancer develops when undetectable cancer cells remain in the body following treatment. Cancer recurrences can grow out of a small number of cancer cells that were not entirely removed or ...

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 ...

STAFFORD, Texas, Dec. 15, 2025 (GLOBE NEWSWIRE) -- Greenwich LifeSciences, Inc. (Nasdaq: GLSI) (the "Company"), a clinical-stage biopharmaceutical company focused on its Phase III clinical trial, ...

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 ...