Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...
OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...
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 ...
As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, ...
It has demonstrated high accuracy in detecting pancreatic cancer by extracting and analysing 260,000 metabolic signals from ...
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.
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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 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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