An analysis on 1,194 patients with NSCLC was performed to evaluate the prognostic signatures of quantitative imaging features, extracted with deep learning. 27 In our work, we trained machine learning ...

Some applications of machine learning that are becoming more widely used in biology include genome annotation; predictions of protein binding; the identification of key transcriptional drivers of ...

Odeyemi Y, Lal A, Barreto EF, et al. Machine learning prediction of in-hospital disease progression in community-acquired pneumonia: derivation and validation of clinical deterioration in ...

A machine-learning model showed excellent discriminative ability in predicting 30-day mortality in patients with community-acquired pneumonia, according to study results published in CHEST.&ldquo ...