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 ...
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BioAffinity launches large-scale clinical study for lung cancer detection technology
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 ...
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 ...
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 ...
A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...
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, ...
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