Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working …
J Thagaard, G Broeckx, DB Page… - The Journal of …, 2023 - Wiley Online Library
The clinical significance of the tumor‐immune interaction in breast cancer is now
established, and tumor‐infiltrating lymphocytes (TILs) have emerged as predictive and …
established, and tumor‐infiltrating lymphocytes (TILs) have emerged as predictive and …
[HTML][HTML] A review of AI-based radiomics and computational pathology approaches in triple-negative breast cancer: current applications and perspectives
G Corredor, S Bharadwaj, T Pathak… - Clinical Breast …, 2023 - Elsevier
Breast cancer is one of the most common and deadly cancers worldwide. Approximately,
20% of all breast cancers are characterized as triple negative (TNBC). TNBC typically is …
20% of all breast cancers are characterized as triple negative (TNBC). TNBC typically is …
Spatial characterization of tumor-infiltrating lymphocytes and breast cancer progression
DJ Fassler, LA Torre-Healy, R Gupta, AM Hamilton… - Cancers, 2022 - mdpi.com
Simple Summary The assessment of tumor-infiltrating lymphocytes (TILs) is gaining
acceptance as a robust biomarker to help predict prognosis and treatment response. We …
acceptance as a robust biomarker to help predict prognosis and treatment response. We …
Intratumoral tumor infiltrating lymphocytes (TILs) are associated with cell proliferation and better survival but not always with chemotherapy response in breast cancer
Objective: To investigate the clinical relevance of intratumoral tumor infiltrating lymphocytes
(TILs) in breast cancer as measured by computational deconvolution of bulk tumor …
(TILs) in breast cancer as measured by computational deconvolution of bulk tumor …
Incorporation of TILs in daily breast cancer care: how much evidence can we bear?
One of the most important developments in the breast cancer field has been an improved
understanding of prognostic and predictive biomarkers, of which TILs are increasingly …
understanding of prognostic and predictive biomarkers, of which TILs are increasingly …
ONEST (observers needed to evaluate subjective tests) analysis of stromal tumour-infiltrating lymphocytes (sTILs) in breast cancer and its limitations
B Cserni, D Kilmartin, M O'Loughlin, X Andreu… - Cancers, 2023 - mdpi.com
Simple Summary Tumour-infiltrating lymphocytes (TILs) reflect the host's response against
tumours. TILs have a strong prognostic effect in the so-called triple-negative (oestrogen …
tumours. TILs have a strong prognostic effect in the so-called triple-negative (oestrogen …
Reproducibility and Feasibility of Classification and National Guidelines for Histological Diagnosis of Canine Mammary Gland Tumours: A Multi-Institutional Ring …
S Papparella, MI Crescio, V Baldassarre, B Brunetti… - Veterinary …, 2022 - mdpi.com
Simple Summary Tumours of the mammary gland are common in humans, as in canine
species. They are very heterogenous with numerous morphological variants and different …
species. They are very heterogenous with numerous morphological variants and different …
Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research
A Ly, V Garcia, KRM Blenman, A Ehinger… - …, 2024 - Wiley Online Library
A growing body of research supports stromal tumour‐infiltrating lymphocyte (TIL) density in
breast cancer to be a robust prognostic and predicive biomarker. The gold standard for …
breast cancer to be a robust prognostic and predicive biomarker. The gold standard for …
[HTML][HTML] Prioritizing cases from a multi-institutional cohort for a dataset of pathologist annotations
V Garcia, E Gardecki, S Jou, X Li, KR Shroyer… - Journal of Pathology …, 2025 - Elsevier
Objective With the increasing energy surrounding the development of artificial intelligence
and machine learning (AI/ML) models, the use of the same external validation dataset by …
and machine learning (AI/ML) models, the use of the same external validation dataset by …
[PDF][PDF] Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer
J Thagaard, ES Stovgaard, T Papathomas - 2023 - research.birmingham.ac.uk
The prognostic and predictive significance of the tumor-immune interaction in breast cancer
(BC) has been investigated intensively in recent years [1, 2], and tumor-infiltrating …
(BC) has been investigated intensively in recent years [1, 2], and tumor-infiltrating …