Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...
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 collaborative research team has identified a novel blood-based biomarker capable of detecting early-stage lung cancer and predicting patient prognosis. The findings are published in the Journal of ...
Survival outcomes in non-small cell lung cancer: Real-world analysis of immunotherapy era vs pre-immunotherapy era, with insights into treatment settings, racial disparities, and socioeconomic impacts ...
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 ...
Blood‑and‑tissue‑derived Biomarkers Serve as the Key to Lung‑cancer Precision‑medicine Breakthrough HUSTON, TX, UNITED STATES, August 10, 2026 /EINPresswire.com/ — Breaking the Curse of Lung Cancer: ...
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