Universal Diagnostics (UDX), an in-vitro diagnostics company developing minimally-invasive, blood-based solutions for detecting cancer early, announced today promising new data for its ...

The algorithm enables earlier detection of lung cancer using routine general practice data. The study showed discrimination, calibration, sensitivity, and specificity under various cut-off points ...

Breath analysis using VOCs shows promise for early NSCLC diagnosis, achieving 85% accuracy, 86.7% sensitivity, and 83.3% specificity. Current lung cancer diagnostic methods are invasive and costly ...

Source Reference: Buma AIG, et al "Lung cancer detection by electronic nose analysis of exhaled breath: A multicenter prospective external validation study" Ann Oncol 2025; DOI: 10.1016/j.annonc ...

Nearly 40% of lung cancer patients are estimated not to be receiving guideline-directed medical therapy. 1 Delays in diagnosis, testing, and appropriate treatment increase the risk of lung cancer ...

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 ...

THE Health Ministry is open to exploring the use of artificial intelligence (AI) for disease detection, especially cancer, in public hospitals, says Datuk Seri Dr Dzulkefly Ahmad.

The FDA recently cleared Qure.ai’s qCT LN Quant AI solution for lung nodule management. Early detection, precise tracking and streamlined workflow are some pros of using AI in the lung cancer space.

THE Health Ministry is open to exploring the use of artificial intelligence (AI) for disease detection, especially cancer, in public hospitals, says Datuk Seri Dr Dzulkefly Ahmad. Read full story ...