In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...
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Nicrat empowers health workers with AI application skills for cancer care
The National Institute for Research and Treatment (NICRAT) has strengthened the capacity of health workers in the South-West geopolitical zone of Nigeria through training on the application of ...
A UK research team has developed a pioneering blood test that could change the way lung cancer is detected and monitored. The research team—which brings together academics from University Hospitals of ...
A New York City woman is using her lung cancer survival story to push for early detection, especially among nonsmokers and those in underserved communities. Colette Smith of the Bronx wrote a message ...
WALTHAM, Mass., Nov. 20, 2025 /PRNewswire/ -- Mercy BioAnalytics, Inc., a pioneer in blood-based detection of early-stage cancer, today announced data from a groundbreaking study leveraging samples ...
New artificial intelligence technology is helping diagnose the U.S.’s most deadly cancer sooner, greatly improving the chances of patients’ survival. The key? Detecting tiny lung nodules when doctors ...
If everyone eligible had a lung cancer screening, 62,000 lives would be saved over five years, a new study shows. By Simar Bajaj Tens of thousands of lives could be saved if more people got screened ...
CAT scans detecting cancer is nothing new. But now, doctors are using artificial intelligence to spot cancer even sooner.“I'm here three years later because I did find out and because I did finally ...
O'FALLON, Ill. — Lung cancer is the leading cause of cancer-related deaths among both women and men, yet fewer than 1 in 10 at-risk individuals get screened. This Lung Cancer Awareness Month, health ...
NORFOLK, Va. — A new report from the American Lung Association shows that Virginia is making measurable progress in the fight against lung cancer, but the state still lags behind in early detection, ...
Abstract: This study presents a sophisticated framework for automatically identifying lung cancer nodules from CT scans using a unique DeepResNet model. Our approach combines the segmentation ...
Among patients in a lung cancer screening registry, cancer survivors had similar outcomes as those with no prior cancer — but their rate of lung cancer detection was numerically higher. Cancer ...
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