A novel sectional deep learning framework with region normalization improves hepatocellular carcinoma detection and staging ...

A systematic review examines how deep learning algorithms analyze gigapixel whole-slide images to classify tumors and predict ...

Artificial intelligence can help identify cells in digital pathology images, but densely packed tissue remains a challenge: ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

Scientists are developing a new MRI-based test that could spare thousands of cancer patients from aggressive radiotherapy ...

An article in Nature Communications reports a positron emission tomography (PET) reporter system to measure the biodistribution and translational persistence of an mRNA-encoded antigen in the whole ...

Whether screening with blood-based early-detection tests for multiple cancers in addition to usual care has clinical utility is unknown. In a randomized, controlled trial conducted in England, we ...

Matthew Herper covers medical innovation — both its promise and its perils. Shares in Grail, the company developing a blood test aimed at detecting many different types of cancer early, when they can ...

Researchers often use antibodies to detect specific molecules or biological markers because they are remarkably precise at recognizing their targets. However, finding the faint signals of cancer in ...

A controversial blood test aimed at detecting multiple cancers was backed by a U.S. Food and Drug Administration panel this week. On Wednesday, Sept. 23, the FDA's Molecular and Clinical Genetics ...

Gastric leakage is a common and life-threatening postoperative complication, while delayed detection often leads to severe ...

The diagnosis of cancer at earlier stages is generally associated with improved survival. Detecting circulating tumor–derived cell-free DNA (cfDNA) is an established method of monitoring the response ...