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Improving prediction of survival and progression in metastatic non-small cell lung cancer following immunotherapy through machine learning of circulating tumor DNA dynamics

2023-10-25

Abstract excerpt

<h4>Objectives</h4> To use modern machine-learning approaches to enhance and automate the feature extraction from the longitudinal ctDNA data and to improve the prediction of survival and disease progression, risk stratification, and treatment strategies for patients with 1L NSCLC. <h4>Methods</h4> Using IMpower150 trial data on untreated metastatic non-small cell lung cancer patients treated with atezolizumab a...

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Literature Corpus work
b7c7ac48-1b15-5ee2-9a11-3833d46d0378
DOI
10.1101/2023.10.24.23297462
Open publication

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Improving prediction of survival and progression in metastatic non-small cell lung cancer following immunotherapy through machine learning of circulating tumor DNA dynamicsDOI 10.1101/2023.10.24.23297462
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