Triple-negative breast cancer (TNBC) has a poor prognosis because it lacks hormonal and immune (HER2) receptors, and hence does not respond to traditional hormonal therapy or targeted anti-HER2 therapies. This highlights the importance of novel prognostic markers for patient subtyping and identifying response to chemotherapy. One of the few available prognostic biomarkers in TNBC are tumor-infiltrating lymphocytes (TILs), which are immune cells that fight cancer. TNBC patients with dense lymphocytic infiltrates have significantly better survival outcomes. Yet estimating the density of TILs in microscopic slides is challenging and complex, and there is a considerable degree of variability among pathologists when they do this task visually.
Develop computational tools for accurate and reproducible estimation of TILs density in TNBC.
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