Dr. Masey Ross explains how biomarker testing, patient history, and quality-of-life concerns guide treatment decisions in metastatic breast cancer.

University of Tennessee researchers are using artificial intelligence to more quickly determine treatment plans for breast cancer patients.

Scientists use patient-derived breast cancer organoids—or 3D mini-tumors—to study processes involved in slowing or stopping tumor growth, also known as cellular senescence.

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed ...

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed ...

As cancer cases have increased worldwide, the disease has become more complex, presenting challenges to scientific advances ...

The system will then be able to compare it with cancer staging data to determine what stage of breast cancer a patient has.

In an effort to foster progress in cancer research, the National Institute of Standards and Technology (NIST) is releasing ...