Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...
Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework.
Results of an artificial intelligence–based tool to predict financial toxicity early to facilitate early referral to hospital social workers. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...
Innovative deep proteomic profiling reveals promising results from a blood-based test for early breast cancer, showcasing high sensitivity and specificity, explains Justin Drake, PhD. Current standard ...
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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.
Cancer ranks as one of the top causes of death worldwide. The National Cancer Institute reported nearly 20 million new cancer cases and 9.7 million cancer-related deaths globally in 2022, with ...
The researchers measured the variation in DNA methylation patterns to develop the method and applied it to multiple types of cancer.
Five artificial intelligence (AI) technologies designed to act as a "second pair of eyes" during colonoscopies have been conditionally recommended for NHS use by the National Institute for Health and ...
Cost-effectiveness analysis of population-based screening for 6-gene panel testing for hereditary breast and ovarian cancer. One-year impact of a large-scale pilot multimodal personalized early 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 method ...
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