Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer
C McCaffrey, C Jahangir, C Murphy… - Expert Review of …, 2024 - Taylor & Francis
Introduction Histological images contain phenotypic information predictive of patient
outcomes. Due to the heavy workload of pathologists, the time-consuming nature of …
outcomes. Due to the heavy workload of pathologists, the time-consuming nature of …
Tumor-infiltrating lymphocytes refine outcomes in triple-negative breast cancer treated with anthracycline-free neoadjuvant chemotherapy
M Martín, R Yoder, R Salgado, M del Monte-Millán… - Clinical Cancer …, 2024 - AACR
Purpose: Stromal tumor-infiltrating lymphocytes (sTIL) are associated with pathologic
complete response (pCR) and long-term outcomes for triple-negative breast cancer (TNBC) …
complete response (pCR) and long-term outcomes for triple-negative breast cancer (TNBC) …
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment-Challenges and Innovations in Cancer Prognosis
E Ali, L Červenková, R Pálek, F Ambrozkiewicz… - JoVE (Journal of …, 2024 - jove.com
The insights provided by in-situ detection of immune cells within hepatocellular carcinoma
(HCC) might present information on patient outcomes. Studies investigating the expression …
(HCC) might present information on patient outcomes. Studies investigating the expression …