AI tool predicts liver cancer relapse with 82% accuracy, tackling a disease causing third-highest cancer-related deaths ...

Many people with cancer experience dramatic loss of muscle and fat tissue. In many cases, even the heart muscle is affected, which further weakens the body.

Researchers at Osaka Metropolitan University have developed an AI model that can detect fatty liver disease from routine chest X-rays with over 80 % accuracy, offering a low-cost, widely accessible ...

The lack of reliable anatomical landmarks on the liver surface and complicated intraparenchymal anatomy led to the development of various navigational systems. However, none (except for intraoperative ...

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the disease, but ...

Existing tissue-derived liver organoid models consist of only one cell type and fail to replicate the complex cellular composition and tissue architecture, such as the liver periportal region.

This model combines different cells assembled together in a stepwise process one could compare to LEGO. “Our assembloid reconstructs the liver periportal region and can model aspects of cholestatic ...

New tissue-derived organoid model: A next-generation organoid model, composed of three liver cell types – adult hepatocytes, cholangiocytes, and liver mesenchymal cells – reconstructs ...

Scientists achieve record-breaking growth in miniature, functional liver models by Keio University Editors' notes ...

Controlling the dissolved oxygen in bioreactors sets the stage for developing new treatments for liver disease.

This review discussed experimental mouse models used in the pre-clinical study of liver fibrosis regression, a pivotal process in preventing the progression of metabolic dysfunction-associated ...