Nature

Graph neural network model using radiomics for lung CT image segmentation

Early detection of lung cancer is critical for improving treatment outcomes, and automatic lung image segmentation plays a key role in diagnosing lung-related diseases such as cancer, COVID-19, and ...
Nature

Survival outcomes of patients with metastatic non-small cell lung cancer receiving chemotherapy or immunotherapy as first-line in a real-life setting

Treatment of metastatic non-small cell lung cancer (mNSCLC) has been modified due to the development of immunotherapy. We assessed survival outcomes (overall [OS] and progression-free [rwPFS] ...
ascopubs.org

Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management ...
American Council on Science and Health

Chemoprevention of Lung Cancer: Too Good to be True?

A new study suggests that a blood-based protein signature may help identify people at risk of lung cancer more accurately ...
Fred Hutchinson Cancer Center

Lung cancer researchers, advocates gather in Seattle

More than 150 lung cancer researchers, clinicians and patient advocates from around the country gathered at Fred Hutch last ...