A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
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 ...
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 ...
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, ...
NeXT Personal identifies circulating tumor DNA in 81% of early-stage lung adenocarcinoma cases, offering potential for better disease stratification and outcome prediction. Study: Ultrasensitive ctDNA ...
According to a new study, the use of an artificial intelligence-based "You Only Look Once (YOLO)" algorithm showed high precision in detecting B lines on lung ultrasound (LUS) images, with substantial ...
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 ...
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