Results 171 to 180 of about 871,313 (293)
A Variance Estimator for Marginal Cox Regression Models Fit to Non-Nested Multilevel Data. [PDF]
Austin PC.
europepmc +1 more source
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin +12 more
wiley +1 more source
Factors associated with survival of tuberculosis patients in Southeast Iran: comparison of stepwise cox regression, survival tree, and random survival forest. [PDF]
Sharafi M +7 more
europepmc +1 more source
ABSTRACT Liver injury can lead to severe acute liver failure and even death in patients. Artesunate (ART), which is a derivative of artemisinin that has been approved by the FDA for the treatment of malaria, has significant regulatory effects on cell death and inflammation.
Zhe Zhang +17 more
wiley +1 more source
Data-driven prior elicitation for Bayes factors in Cox regression for nine subfields in biomedicine. [PDF]
Linde M +3 more
europepmc +1 more source
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen +11 more
wiley +1 more source
Clinical predictors of survival in malignant peripheral nerve sheath tumors of the head and neck: A cox regression and nomogram study. [PDF]
LiNa S +4 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Comparison of machine learning and Cox regression models for prognostic analysis in hepatocellular carcinoma patients with distant metastasis. [PDF]
Li H, Wang J, Ming X, Zhou M, Zhou L.
europepmc +1 more source
TrxR2 deletion in diabetic mice suppresses TUFM‐AMPK‐FUNDC1‐dependent mitophagy in endothelial cells, resulting in SCP2 upregulation and mitochondrial translocation of ACSL4. Mitochondrial ACSL4 promotes mitochondrial eicosanoid biosynthesis and ferroptosis, thereby aggravating cardiac microvascular injury and diabetic cardiomyopathy.
Su Li +16 more
wiley +1 more source

