A new light-based sensor can spot incredibly tiny amounts of cancer biomarkers in blood, raising the possibility of earlier and simpler cancer detection. The technology merges DNA nanotechnology, ...
Electronic nose breath analysis achieved 80-92% accuracy for detecting lung cancer in patients with suspicious findings. Detection accuracy remained consistent across tumor characteristics, disease ...
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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
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Why lung cancer in never smokers is rising and how targeted detection could reduce deaths
By Priyanjana Pramanik, MSc. Researchers reveal why lung cancer in people who never smoked is increasing and explore how ...
LAFAYETTE, La. (KLFY) — Our Lady of Lourdes is now offering patients the latest in lung cancer treatment using AI. The new artificial intelligence-based software and robot-assisted biopsy technology ...
All study participants simultaneously underwent NGS using three sample types: (1) BWF, (2) plasma, and (3) tumor tissue collected during bronchoscopy. The full patient set (FPS) included all enrolled ...
Model and clinical segmentation examples. (A) 71-year-old female with non-small cell lung cancer (NSCLC) from the internal test set. (B) 87-year-old male with NSCLC from the external test set. Both ...
FREMONT, Calif.--(BUSINESS WIRE)--Personalis, Inc. (Nasdaq: PSNL), in collaboration with Professor Charles Swanton and his colleagues at London’s Francis Crick Institute and University College London, ...
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 method ...
Scientists have created a new low-cost, fast response sensor to detect lung cancer biomarkers, paving the way for the development of screening devices to spot the disease even before symptoms occur.
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