AI tool detects possible metastatic breast cancer

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Researchers at UT Southwestern Medical Center have developed a novel artificial intelligence model to improve the detection of breast cancer metastasis, which could reduce the need for needle or surgical biopsies.

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Positive high-level results from the Tropion-Breast02 phase III trial showed Datroway (datopotamab deruxtecan-dlnk) demonstrated a statistically significant and clinically meaningful improvement for the dual primary endpoints of overall survival and progression-free survival compared to investigator’s choice of chemotherapy as first-line treatment for patients with locally recurrent inoperable or metastatic triple-negative breast cancer for whom immunotherapy was not an option.
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From left to right: Geoffrey Shapiro, Leif Ellisen and Nancy Lin. Sitting below them is Kornelia Polyak.The Dana-Farber/Harvard Cancer Center,  a cancer research consortium comprised of five of Boston’s academic medical centers, including Dana-Farber Cancer Institute and Massachusetts General Hospital, has been awarded an NCI grant to continue its Specialized Program of Research Excellence in Breast Cancer.

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