The following is a summary of "Mediastinal staging lymph node probability map in non-small cell lung cancer,” published in the March 2025 issue of Respiratory Research by Bordas-Martinez et al.
A recent study has uncovered a link between air pollution and lung cancer, even among those who've never smoked.
Cancer remains a leading cause of death globally, with lung cancer being particularly lethal. Despite advancements in diagnostics and therapies, the five-year survival rates for advanced tumors have ...
Rutgers Health researchers have discovered that networks of misplaced immune cells drive an aggressive lung disease, ...
Candel Therapeutics has identified a subpopulation of lung cancer patients living longest on its oncolytic virus, leading the biotech to narrow its focus as it heads towards a potentially ...
The 10-week course at Stanford last fall was fully enrolled and packed with students eager to learn from Dr. Lin's unique ...
New research led by American Cancer Society (ACS) researchers estimates more than 3.8 million lung cancer deaths were averted ...
Since 2021, when lung cancer screening guidelines began to include younger people and those with a lower smoking history, the number of screenings climbed, but significant gaps remain, especially ...
An openly available generative AI tool can interpret millions of cells in human tissues in hours, revealing new insights and allowing researchers and clinicians to ask questions about conditions such ...
"mega lungs" will be displayed in a shopping centre to raise awareness of lung cancer. Roy Castle Lung Cancer Foundation is working with the local NHS to bring the inflatable lungs to Peterborough ...
Cancer Discovery publishes high-impact articles featuring major advances in research and clinical trials. Topics span the spectrum of cancer research and medicine from the laboratory to the clinic to ...
This repository contains a Lung Cancer Detection Model built using Machine Learning techniques. The project aims to assist in the early detection of lung cancer using medical imaging data and patient ...