A model based on proteins vs. a questionnaire had higher discrimination in predicting lung cancer risk in individuals with a smoking history, according to data presented at the American Thoracic ...
Lung adenocarcinoma is the most common primary lung cancer seen in the world, and identifying genetic markers is essential for predicting the prognosis of lung adenocarcinoma and improving treatment ...
In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...
Aneuploidy is a hallmark of cancers, but the role of aneuploidy-related genes in lung adenocarcinoma (LUAD) and their prognostic value remain elusive. Gene expression and copy number variation (CNV) ...
Every week, I see another headline about an AI model achieving “96% accuracy” in healthcare or finance. The press releases are exciting, the demos look impressive and stakeholders are eager to deploy.
A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference. The model, called ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results