Results 51 to 60 of about 18,931,441 (264)
Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis
FEBS Letters, EarlyView.This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng +8 more
wiley +1 more source
Undersmoothing Causal Estimators With Generative Trees
IEEE AccessAverage causal effects are averages of (heterogeneous) individual treatment effects (ITEs) taken over the entire target population. The estimation of average causal effects has been studied in depth, but averages are insufficient for more individualised ...
Damian Machlanski +2 more
doaj +1 more source
Frontiers in Genetics, 2020 Treatment response is heterogeneous. However, the classical methods treat the treatment response as homogeneous and estimate the average treatment effects. The traditional methods are difficult to apply to precision oncology. Artificial intelligence (AI)
Qiyang Ge +7 more
doaj +1 more source
What are the treatment effects of a work-first participation programme on young unemployed people in the Netherlands? [PDF]
Panoeconomicus, 2019 This paper evaluates the effects of the employment programme on young unemployed people in the Netherlands. The effectiveness of the programme is measured by probability of both re-employment and participation within the regular educational ...
Južnik-Rotar Laura
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Information Theoretic Causal Effect Quantification
Entropy, 2019 Modelling causal relationships has become popular across various disciplines. Most common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) and the Neyman-Rubin potential outcome framework.
Aleksander Wieczorek, Volker Roth
doaj +1 more source
Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
Molecular Oncology, EarlyView.This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source
Vascular normalization confers an endothelial immune suppressive gene expression profile
Molecular Oncology, EarlyView.We compare the immunoregulatory gene expression profiles of healthy endothelial cells or endothelial cells from tumors having a normalized endothelium (low leakage) with that of wild‐type tumors (high leakage) and observe that the wild‐type tumor endothelium exhibits immunostimulatory properties.
Liqun He, Michael Welsh
wiley +1 more source
Conditional average treatment effects of high-risk vs. low-risk groups.
, 2021 Conditional average treatment effects of high-risk vs. low-risk groups.
Kirill Chmel (11512644) +2 more
core +1 more source
Nonparametric estimation of conditional incremental effects
Journal of Causal InferenceConditional effect estimation has great scientific and policy importance because interventions may impact subjects differently depending on their characteristics.
McClean Alec +2 more
doaj +1 more source