Predicting dynamic changes of Ki-67 in breast cancer after neoadjuvant therapy based on multi-phase DCE-MRI delta-radiomics. [PDF]
Zhang X, Zhao H, Zhang H.
europepmc +1 more source
A programmable encapsulation technology is developed to reduce bacterial immunogenicity and proliferation after systemic administration. The cross‐linked polymer networks around individual bacteria enable immunogenic shielding and permit selective proliferation in tumors, allowing the bacteria to convert tumor‐accumulated ammonia into L‐arginine and ...
Jianhui Yang +12 more
wiley +1 more source
Defining hotspot for estimation of Ki-67 proliferation index of neuroendocrine tumors: QuPath algorithm vs. manual assessment. [PDF]
Oganesyan R +9 more
europepmc +1 more source
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon +6 more
wiley +1 more source
Ki-67 and overall survival in patients with glioblastoma: A systematic prognostic review and meta-analysis. [PDF]
Nordahl IK +3 more
europepmc +1 more source
Rigidity‐tunable nanovesicle (P‐Pm) with mechanically induced adjuvanticity toward tumor‐associated macrophages (TAMs) was designed to engineer R848/gp100 antigen ‐loaded nanovaccine (P@Rg‐Pm), which achieved outstanding anti‐tumor outcomes in both therapeutic and preventive model of B16‐F10 melanoma.
Bangyue Luo, Liyan Qiu
wiley +1 more source
Preoperative prediction of Ki-67 expression in breast cancer using a combined radiomics model based on 18F-FDG PET/CT. [PDF]
Liu S +12 more
europepmc +1 more source
A deep learning model based on multiphase DCE-MRI for preoperative prediction of Ki-67 expression in breast cancer. [PDF]
Fu XM +5 more
europepmc +1 more source
Apparent diffusion coefficient values in prostate cancer: Association with pathological grade groups and correlation with Ki-67 proliferation index. [PDF]
Wu Y, Shi L, Wang D.
europepmc +1 more source
Automated Assessment of Ki-67 Labeling Index Using Cell-Level Detection and Classification in Whole-Slide Images. [PDF]
Tsuneki M, Li M, Kanavati F.
europepmc +1 more source

