BIOENGINEER

CT venous-phase radiomics models distinguish early from advanced gastric cancer before surgery

A retrospective study found that CT venous-phase radiomics models, led by logistic regression, distinguished early from ...
BIOENGINEER

CT-Based Machine-Learning Model Predicts Which Children Need Repeat Lung Lavage

A combined CT radiomics and clinical machine-learning model predicted the need for repeat bronchoalveolar lavage in children ...
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Machine learning model integrating CT radiomics and circulating microRNAs to predict residual disease histology in metastatic non-seminoma testicular cancer (mNSTC).

Circulating tumor DNA as a prognostic biomarker to predict retroperitoneal histology in patients undergoing retroperitoneal lymph node dissection. AUC values of different ML algorithms on training and ...