Data-driven causal effect estimation based on graphical causal modelling: A survey
In many fields of scientific research and real-world applications, unbiased estimation of
causal effects from non-experimental data is crucial for understanding the mechanism …
causal effects from non-experimental data is crucial for understanding the mechanism …
Predicting post-lung transplant survival in systemic sclerosis using CT-derived features from preoperative chest CT scans
Objectives The current understanding of survival prediction of lung transplant (LTx) patients
with systemic sclerosis (SSc) is limited. This study aims to identify novel image features from …
with systemic sclerosis (SSc) is limited. This study aims to identify novel image features from …
CT-derived Body Composition Associated with Pulmonary Nodule Malignancy and Growth
T Yu, X Zhao, G Kokenberger, JK Leader, J Wang… - medRxiv, 2024 - medrxiv.org
Background: Body composition may be a valuable biomarker for assessing pulmonary
nodule malignancy. However, its relationship with nodule malignancy remains unexplored …
nodule malignancy. However, its relationship with nodule malignancy remains unexplored …