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Moffitt researchers develop algorithm to predict cancer cell evolution
Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...
Studying a person’s genetic makeup can predict if they will go on to develop invasive breast cancer after abnormal cells have been found in their breast tissue. For the first time, researchers at King ...
Artificial intelligence is making its mark on the future of cancer care. One of the newest applications for the technology is pinpointing hard-to-detect breast cancer. Researchers at Ohio State ...
Researchers have revealed how patients with metastatic breast cancer develop resistance to Enhertu treatment.
UCLA researchers have developed a CAR-NKT cell therapy that has shown to be more effective than current immunotherapies at fighting cancer in tumor samples from late-stage triple-negative breast ...
A new study by cell biologists at the University of California, Santa Cruz, suggests that an early first pregnancy may ...
Predictive genomics enhances breast cancer management by integrating predictive medicine, personal genomics, and translational bioinformatics for personalized care. Key applications include ...
Decades ago, doctors created a test to determine which breast cancer patients should receive hormone therapy. Now, ...
Ninety percent of cancer deaths are from cancer spread. Breast cancer patients, for example, typically do not die because cancer returns in their breast, they die because it spreads to other parts of ...
Triple-negative breast cancer is one of the most aggressive cancers. The name tells the story: It lacks the three main targets that make other types of breast cancers more treatable with powerful ...
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