University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

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 ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

BXQ-350 efficacy and safety evaluation in first line mCRC patients: A phase 1b/2 study of BXQ-350, a first-in-class sphingolipid metabolism modulator, in combination with mFOLFOX7 plus bevacizumab in ...

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, ...

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 ...

It has demonstrated high accuracy in detecting pancreatic cancer by extracting and analysing 260,000 metabolic signals from ...

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological ...

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 ...