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 ...

Cancer poses significant challenges due to the development of resistance and the likelihood of relapse. Resistance may arise from permanent genetic changes in cancer cells or non-genetic alterations ...

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one ...

External Validation and Update of the Risk Prediction Model for Denosumab-Induced Hypocalcemia Developed From a Hospital-Based Administrative Database This study used Optum's deidentified Market ...