Construction of a metabolism-malnutrition-inflammation prognostic risk score in patients with heart failure with preserved ejection fraction: a machine learning based Lasso-Cox model. [PDF]
Feng J +7 more
europepmc +1 more source
What if we had built a prediction model with a survival super learner\n instead of a Cox model 10 years ago? [PDF]
Arthur Chatton +5 more
openalex +1 more source
Mixed-effects Cox models of alcohol dependence in extended families [PDF]
Jing Zhao
openalex +1 more source
The preferred derivative JX3212 demonstrates strong inhibitory activity against Kir4.1 with favorable druggability and shows significant antidepressant efficacy in vivo. Abstract Major depressive disorder is a serious psychiatric disorder for which novel and fast‐acting antidepressants are required.
Sisi Wang +15 more
wiley +1 more source
Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data. [PDF]
Etievant L, Gail MH.
europepmc +1 more source
Immune Predictors of Radiotherapy Outcomes in Cervical Cancer
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang +8 more
wiley +1 more source
Development of a new Cox model for predicting long-term survival in hepatitis cirrhosis patients underwent transjugular intrahepatic portosystemic shunts. [PDF]
Lv YF +10 more
europepmc +1 more source
Cinnamic‐hydroxamic‐acid derivatives (CHADs) are identified as novel inhibitors of the bacterial nucleoid‐associated protein HU, exhibiting potent antibacterial, anti‐biofilm (both inhibition and eradication), and DNA relaxation (anti‐supercoiling) activities. Moreover, CHADs demonstrate strong synergistic effects with multiple antibiotics.
Huan Chen +22 more
wiley +1 more source
CoxPhLb: An R Package for Analyzing Length Biased Data under Cox Model. [PDF]
Lee CH, Zhou H, Ning J, Liu DD, Shen Y.
europepmc +1 more source

