The biopsy came back positive. It’s lung cancer.” Countless people in our community hear these words no one ever expects.

The application of deep learning techniques in lung nodule detection represents a significant advance in the early diagnosis and management of lung cancer. Recent developments have harnessed the power ...

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 ...

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 ...

We combined natural language processing and large language models with state-of-the-art machine learning techniques and approaches to treat unbalanced data sets and determine the best solution to ...

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 ...

Affinity Technologies (NASDAQ:BIAF) announced on March 10, 2026, the launch of a large longitudinal clinical study involving 2,000 patients to evaluate the performance of its CyPath® Lung technology ...

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 ...

Radiation therapy is a cornerstone of lung cancer treatment. But even when delivered with precision, radiation can damage healthy lung tissue. "Try as we might, when we deliver radiation to a cancer, ...