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.

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 ...

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

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

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

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 ...

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 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 ...

A microscopic model of the human liver to study the effects of different food contaminants. The spherical model, measuring 0.3 mm in diameter, includes the four cell types found in the human liver.

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 ...