Case Western researchers use big data to identify triple-negative breast, oropharyngeal, and lung cancers
- Posted: March 19, 2014
Researchers at Case Western Reserve University and colleagues used "big data" analytics to predict if a patient is suffering from aggressive triple-negative breast cancer, slower-moving cancers or non-cancerous lesions with 95 percent accuracy. If the tiny patterns they found in magnetic resonance images prove consistent in further studies, the technique may enable doctors to use an MRI scan to diagnose more cancers.
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Among the research institutions NCI funds across the United States, it currently designates 68 as Cancer Centers. Largely based in research universities, these facilities are home to many of the NCI-supported scientists who conduct a wide range of intense, laboratory research into cancer’s origins and development. The Cancer Centers Program also focuses on trans-disciplinary research, including population science and clinical research. The centers’ research results are often at the forefront of studies in the cancer field.