Share on Facebook. Opens in a new tab or window Share on Bluesky. Opens in a new tab or window Share on X. Opens in a new tab or window Share on LinkedIn. Opens in a new tab or window Risk model-based ...
Risk model-based lung cancer screening strategies, which select individuals based on personal risk, are more cost effective than current recommendations based solely on age and smoking history, ...
University of Delaware Assistant Professor Catherine Fromen and current graduate student Dominic Hoffman work with an adaptable lung model that can replicate realistic breathing maneuvers and offer ...
AI model could help predict lung cancer risks in non-smokers, study finds: ‘Significant advancement’
Among the latest artificial intelligence innovations in health care, a routine chest X-ray could help identify non-smokers who are at a high risk for lung cancer. The study findings will be presented ...
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) ...
Researchers have developed a human in vitro model that closely mimics the complexities of radiation-induced lung injury (RILI) and radiation dose sensitivity of the human lung. Using a previously ...
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