Liver cancer is one of the world's deadliest cancers, and most cases are linked to chronic viral hepatitis. Yet scientists ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Researchers at UC Berkeley have built a microfluidic organ-on-a-chip system that compresses roughly 40 years of human aging ...

A new mouse model mimicking the liver symptoms of myotonic dystrophy type 1 -- the most prevalent form of adult-onset muscular dystrophy -- provides insight into why patients develop fatty liver ...

The liver has a unique structure, especially at the level of individual cells. Hepatocytes, the main liver cells, release bile into tiny channels called bile canaliculi, which drain into the bile duct ...

Periportal assembloid, with the three component cell types visualized: cholangiocytes in pink, portal fibroblasts in green, and hepatocyte nuclei in blue; all cell borders are visualized in white. New ...

The paper S. Hoehme et al., “Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration,” PNAS, 107:10371-76, 2010. Free ...

Two models more accurately replicate the physiology of the liver, offering a new way to test treatments for fat buildup. More than 100 million people in the United States suffer from metabolic ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...