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 …
A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics
Advances in artificial intelligence have paved the way for leveraging hematoxylin and eosin-
stained tumor slides for precision oncology. We present ENLIGHT–DeepPT, an indirect two …
stained tumor slides for precision oncology. We present ENLIGHT–DeepPT, an indirect two …
Recent Advances in Pathology: the 2023 Annual Review Issue of The Journal of Pathology
Abstract The 2023 Annual Review Issue of The Journal of Pathology, Recent Advances in
Pathology, contains 12 invited reviews on topics of current interest in pathology. This year …
Pathology, contains 12 invited reviews on topics of current interest in pathology. This year …
Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging
A Keogan, TNQ Nguyen, P Bouzy, N Stone… - NPJ precision …, 2025 - nature.com
Predicting long-term recurrence of disease in breast cancer (BC) patients remains a
significant challenge for patients with early stage disease who are at low to intermediate risk …
significant challenge for patients with early stage disease who are at low to intermediate risk …
Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs
X Li - Scientific Reports, 2024 - nature.com
Understanding spatial dynamics within tissue microenvironments is crucial for deciphering
cellular interactions and molecular signaling in living systems. These spatial characteristics …
cellular interactions and molecular signaling in living systems. These spatial characteristics …
A Deep Learning–Based Assessment Pipeline for Intraepithelial and Stromal Tumor-Infiltrating Lymphocytes in High-Grade Serous Ovarian Carcinoma
K Hamada, R Murakami, A Ueda, Y Kashima… - The American Journal of …, 2024 - Elsevier
Tumor-infiltrating lymphocytes (TILs) are associated with improved survival in patients with
epithelial ovarian cancer. However, the evaluation of TILs has not been applied to routine …
epithelial ovarian cancer. However, the evaluation of TILs has not been applied to routine …
Spatial distributions of CD8 and Ki67 cells in the tumor microenvironment independently predict breast cancer-specific survival in patients with ER+ HER2–and triple …
D Zilenaite-Petrulaitiene, A Rasmusson… - PloS one, 2024 - journals.plos.org
Introduction Breast cancer (BC) presents diverse malignancies with varying biological and
clinical behaviors, driven by an interplay between cancer cells and tumor microenvironment …
clinical behaviors, driven by an interplay between cancer cells and tumor microenvironment …
[HTML][HTML] Tumor-infiltrating lymphocytes in HER2-positive breast cancer: potential impact and challenges
Introduction In this review, we evaluate the role of stromal tumor-infiltrating lymphocytes
(sTILs) as a biomarker in human epidermal growth factor receptor 2 (HER2)-positive breast …
(sTILs) as a biomarker in human epidermal growth factor receptor 2 (HER2)-positive breast …
A novel risk scoring system predicts overall survival of hepatocellular carcinoma using Cox proportional hazards machine learning method
H Xin, Y Li, Q Wang, R Liu, C Zhang, H Zhang… - Computers in Biology …, 2024 - Elsevier
Background Robust and practical prognosis prediction models for hepatocellular carcinoma
(HCC) patients play crucial roles in personalized precision medicine. Material and Methods …
(HCC) patients play crucial roles in personalized precision medicine. Material and Methods …
From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer
It is clinically crucial and potentially very beneficial to be able to analyze and model directly
the spatial distributions of cells in histopathology whole slide images (WSI). However, most …
the spatial distributions of cells in histopathology whole slide images (WSI). However, most …