A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in Radiology. The findings of the study could have important implications for lung ...
Novel Graph Neural Network (N-GNN) Model Achieves Superior Accuracy in Early Lung Cancer Detection, Paving the Way for Enhanced Diagnostic Capabilities. The research, a collaboration between BioMark's ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
WALTHAM, Mass., Nov. 20, 2025 /PRNewswire/ -- Mercy BioAnalytics, Inc., a pioneer in blood-based detection of early-stage cancer, today announced data from a groundbreaking study leveraging samples ...
While the U.S. election dominated global headlines, there has been lots of other news you may have missed, including Microsoft researchers who detected lung cancer risks through web search logs, and ...
Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...
Talk about a breath of fresh air. Researchers have developed a groundbreaking device that may one day make detecting lung cancer as easy as exhaling. “We built a screening tool that could allow ...
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